Synthetic human-like fakes: Difference between revisions

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'''Definitions'''
<section begin=definitions-of-synthetic-human-like-fakes />
<section begin=definitions-of-synthetic-human-like-fakes />
When the '''[[Glossary#No camera|camera does not exist]]''', but the subject being imaged with a simulation of a (movie) camera deceives the watcher to believe it is some living or dead person it is a '''[[#Digital look-alikes|digital look-alike]]'''.
When the '''[[Glossary#No camera|camera does not exist]]''', but the subject being imaged with a simulation of a (movie) camera deceives the watcher to believe it is some living or dead person it is a '''[[Synthetic human-like fakes#Digital look-alikes|digital look-alike]]'''.  


When it cannot be determined by human testing or media forensics whether some fake voice is a synthetic fake of some person's voice, or is it an actual recording made of that person's actual real voice, it is a pre-recorded '''[[#Digital sound-alikes|digital sound-alike]]'''.  
In 2017-2018 this started to be referred to as [[w:deepfake]], even though altering video footage of humans with a computer with a deceiving effect is actually 20 yrs older than the name "deep fakes" or "deepfakes".<ref name="Bohacek and Farid 2022 protecting against fakes">
 
{{cite journal
| last1      = Boháček
| first1    = Matyáš
| last2      = Farid
| first2    = Hany
| date      = 2022-11-23
| title      = Protecting world leaders against deep fakes using facial, gestural, and vocal mannerisms
| url        = https://www.pnas.org/doi/10.1073/pnas.2216035119
| journal    = [[w:Proceedings of the National Academy of Sciences of the United States of America]]
| volume    = 119
| issue      = 48
| pages      =
| doi        = 10.1073/pnas.221603511
| access-date = 2023-01-05
}}
 
</ref><ref name="Bregler1997">
 
{{cite journal
| last1      = Bregler
| first1    = Christoph
| last2      = Covell
| first2    = Michele
| last3      = Slaney
| first3    = Malcolm
| date      = 1997-08-03
| title      = Video Rewrite: Driving Visual Speech with Audio
| url        = https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/human/bregler-sig97.pdf
| journal    = SIGGRAPH '97: Proceedings of the 24th annual conference on Computer graphics and interactive techniques
| volume    =
| issue      =
| pages      = 353-360
| doi        = 10.1145/258734.258880
| access-date = 2022-09-09
}}
 
</ref>
 
When it cannot be determined by human testing or media forensics whether some fake voice is a synthetic fake of some person's voice, or is it an actual recording made of that person's actual real voice, it is a pre-recorded '''[[Synthetic human-like fakes#Digital sound-alikes|digital sound-alike]]'''. This is now commonly referred to as [[w:audio deepfake]].
 
'''Real-time digital look-and-sound-alike''' in a video call was used to defraud a substantial amount of money in 2023.<ref name="Reuters real-time digital look-and-sound-alike crime  2023">
{{cite web
| url = https://www.reuters.com/technology/deepfake-scam-china-fans-worries-over-ai-driven-fraud-2023-05-22/
| title = 'Deepfake' scam in China fans worries over AI-driven fraud
| last =
| first =
| date = 2023-05-22
| website = [[w:Reuters.com]]
| publisher = [[w:Reuters]]
| access-date = 2023-06-05
| quote =
}}
</ref>
<section end=definitions-of-synthetic-human-like-fakes />
<section end=definitions-of-synthetic-human-like-fakes />
::[[Synthetic human-like fakes|Read more about '''synthetic human-like fakes''']], see and support '''[[organizations and events against synthetic human-like fakes]]''' and what they are doing, what kinds of '''[[Laws against synthesis and other related crimes]]''' have been formulated, [[Synthetic human-like fakes#Timeline of synthetic human-like fakes|examine the SSFWIKI '''timeline''' of synthetic human-like fakes]] or [[Mediatheque|view the '''Mediatheque''']].


[[File:BlV1999-morphable-model-till-match-low-res-rip.png|thumb|left|460px|Image 2 (low resolution rip)  
 
[[File:Screenshot at 27s of a moving digital-look-alike made to appear Obama-like by Monkeypaw Productions and Buzzfeed 2018.png|thumb|right|480px|link=Mediatheque/2018/Obama's appearance thieved - a public service announcement digital look-alike by Monkeypaw Productions and Buzzfeed|{{#lst:Mediatheque|Obama-like-fake-2018}}]]
 
[[File:BlV1999-morphable-model-till-match-low-res-rip.png|thumb|right|460px|Image 2 (low resolution rip) shows a 1999 technique for sculpting a morphable model, till it matches the target's appearance.
<br/>(1) Sculpting a morphable model to one single picture  
<br/>(1) Sculpting a morphable model to one single picture  
<br/>(2) Produces 3D approximation  
<br/>(2) Produces 3D approximation  
Line 15: Line 74:


<small>Image 2 by Blanz and Vettel – Copyright ACM 1999 – http://dl.acm.org/citation.cfm?doid=311535.311556 – Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page.</small>]]
<small>Image 2 by Blanz and Vettel – Copyright ACM 1999 – http://dl.acm.org/citation.cfm?doid=311535.311556 – Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page.</small>]]
[[File:Saint John on Patmos.jpg|thumb|right|360px|link=Biblical explanation - The books of Daniel and Revelation|See <big>'''[[Biblical explanation - The books of Daniel and Revelation]]'''</big> to see the advance warning for our time that we were given in 6th century BC and then again in 1st century.
<br/><br/>
'Saint John on Patmos' pictures [[w:John of Patmos]] on [[w:Patmos]] writing down the visions to make the [[w:Book of Revelation]]. Picture from folio 17 of the [[w:Très Riches Heures du Duc de Berry]] (1412-1416) by the [[w:Limbourg brothers]]. Currently located at the [[w:Musée Condé]] 40km north of Paris, France.]]


== Digital look-alikes ==
== Digital look-alikes ==
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<small>[[:File:Deb-2000-reflectance-separation.png|Original picture]]  by [[w:Paul Debevec]] et al. - Copyright ACM 2000 https://dl.acm.org/citation.cfm?doid=311779.344855</small>]]
<small>[[:File:Deb-2000-reflectance-separation.png|Original picture]]  by [[w:Paul Debevec]] et al. - Copyright ACM 2000 https://dl.acm.org/citation.cfm?doid=311779.344855</small>]]


In the cinemas we have seen digital look-alikes for over 15 years. These digital look-alikes have "clothing" (a simulation of clothing is not clothing) or "superhero costumes" and "superbaddie costumes", and they don't need to care about the laws of physics, let alone laws of physiology. It is generally accepted that digital look-alikes made their public debut in the sequels of The Matrix i.e. [[w:The Matrix Reloaded]] and [[w:The Matrix Revolutions]] released in 2003. It can be considered almost certain, that it was not possible to make these before the year 1999, as the final piece of the puzzle to make a (still) digital look-alike that passes human testing, the [[Glossary#Reflectance capture|reflectance capture]] over the human face, was made for the first time in 1999 at the [[w:University of Southern California]] and was presented to the crème de la crème  
In the cinemas we have seen digital look-alikes for over 20 years. These digital look-alikes have "clothing" (a simulation of clothing is not clothing) or "superhero costumes" and "superbaddie costumes", and they don't need to care about the laws of physics, let alone laws of physiology. It is generally accepted that digital look-alikes made their public debut in the sequels of The Matrix i.e. [[w:The Matrix Reloaded]] and [[w:The Matrix Revolutions]] released in 2003. It can be considered almost certain, that it was not possible to make these before the year 1999, as the final piece of the puzzle to make a (still) digital look-alike that passes human testing, the [[Glossary#Reflectance capture|reflectance capture]] over the human face, was made for the first time in 1999 at the [[w:University of Southern California]] and was presented to the crème de la crème  
of the computer graphics field in their annual gathering SIGGRAPH 2000.<ref name="Deb2000">
of the computer graphics field in their annual gathering SIGGRAPH 2000.<ref name="Deb2000">
{{cite book
{{cite book
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=== The problems with digital look-alikes ===
=== The problems with digital look-alikes ===


Extremely unfortunately for the humankind, organized criminal leagues, that posses the '''weapons capability''' of making believable looking '''synthetic pornography''', are producing on industrial production pipelines '''synthetic terror porn'''<ref group="footnote" name="About the term synthetic terror porn">It is terminologically more precise, more inclusive and more useful to talk about 'synthetic terror porn', if we want to talk about things with their real names, than 'synthetic rape porn', because also synthesizing recordings of consentual looking sex scenes can be terroristic in intent.</ref> by animating digital look-alikes and distributing it in the murky Internet in exchange for money stacks that are getting thinner and thinner as time goes by.
Extremely unfortunately for the humankind, organized criminal leagues, that posses the '''weapons capability''' of making believable looking '''synthetic pornography''', are producing on industrial production pipelines '''terroristic synthetic pornography'''<ref group="footnote" name="About the term terroristic synthetic pornography">It is terminologically more precise, more inclusive and more useful to talk about 'terroristic synthetic pornography', if we want to talk about things with their real names, than 'synthetic rape porn', because also synthesizing recordings of consentual looking sex scenes can be terroristic in intent.</ref> by animating digital look-alikes and distributing it in the murky Internet in exchange for money stacks that are getting thinner and thinner as time goes by.  
 
These industrially produced pornographic delusions are causing great human suffering, especially in their direct victims, but they are also tearing our communities and societies apart, sowing blind rage, perceptions of deepening chaos, feelings of powerlessness and provoke violence.
 
These kinds of '''hate illustration''' increases and strengthens hate feeling, hate thinking, hate speech and hate crimes and tears our fragile social constructions apart and with time perverts humankind's view of humankind into an almost unrecognizable shape, unless we interfere with resolve.
 
'''Children-like sexual abuse images'''
 
Sadly by 2023 there is a market for synthetic human-like sexual abuse material that looks like children. See [https://www.bbc.com/news/uk-65932372 ''''''Illegal trade in AI child sex abuse images exposed'''''' at bbc.com] 2023-06-28 reports [[w:Stable Diffusion]] being abused to produce this kind of images. The [[w:Internet Watch Foundation]] also reports on the alarming existence of production of synthetic human-like sex abuse material portraying minors. See [https://www.iwf.org.uk/news-media/news/prime-minister-must-act-on-threat-of-ai-as-iwf-sounds-alarm-on-first-confirmed-ai-generated-images-of-child-sexual-abuse/ ''''''Prime Minister must act on threat of AI as IWF ‘sounds alarm’ on first confirmed AI-generated images of child sexual abuse'''''' at iwf.org.uk] (2023-08-18)
 
=== Fixing the problems from digital look-alikes ===


These industrially produced pornographic delusions are causing great humane suffering, especially in their direct victims, but they are also tearing our communities and societies apart, sowing blind rage, perceptions of deepening chaos, feelings of powerlessness and provoke violence. This '''hate illustration''' increases and strengthens hate thinking, hate speech, hate crimes and tears our fragile social constructions apart and with time perverts humankind's view of humankind into an almost unrecognizable shape, unless we interfere with resolve.
We need to move on 3 fields: [[Laws against synthesis and other related crimes|legal]], technological and cultural.


=== List of possible naked digital look-alike attacks ===
'''Technological''': Computer vision system like [[FacePinPoint.com]] for seeking unauthorized pornography / nudes used to exist 2017-2021 and could be revived if funding is found. It was a service practically identical with SSFWIKI original concept [[Adequate Porn Watcher AI (concept)]].


* The classic "''portrayal of as if in involuntary sex''"-attack. (Digital look-alike "cries")
'''Legal''': Legislators around the planet have been waking up to this reality that not everything that seems a video of people is a video of people and various laws have been passed to protect humans and humanity from the menaces of synthetic human-like fakes, mostly digital look-alikes so far, but hopefully humans will be protected also fro other aspects of synthetic human-like fakes by laws. See [[Laws against synthesis and other related crimes]]
* "''Sexual preference alteration''"-attack. (Digital look-alike "smiles")
* "''Cutting / beating''"-attack  (Constructs a deceptive history for genuine scars)
* "''Mutilation''"-attack (Digital look-alike "dies")
* "''Unconscious and injected''"-attack (Digital look-alike gets "disease")


=== Age analysis and rejuvenating and aging syntheses ===
=== Age analysis and rejuvenating and aging syntheses ===
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== Digital sound-alikes ==
== Digital sound-alikes ==
=== University of Florida published an antidote to synthetic human-like fake voices in 2022 ===
'''2022''' saw a brilliant '''<font color="green">counter-measure</font>''' presented to peers at the 31st [[w:USENIX]] Security Symposium 10-12 August 2022 by [[w:University of Florida]] <u><big>'''[[Detecting deep-fake audio through vocal tract reconstruction]]'''</big></u>.
The university's foundation has applied for a patent and let us hope that they will [[w:copyleft]] the patent as this protective method needs to be rolled out to protect the humanity.
'''Below transcluded [[Detecting deep-fake audio through vocal tract reconstruction|from the article]]'''
{{#lst:Detecting deep-fake audio through vocal tract reconstruction|what-is-it}} {{#lst:Detecting deep-fake audio through vocal tract reconstruction|original-reporting}}
'''This new counter-measure needs to be rolled out to humans to protect humans against the fake human-like voices.'''
{{#lst:Detecting deep-fake audio through vocal tract reconstruction|embed}}
=== On known history of digital sound-alikes ===
[[File:Helsingin-Sanomat-2012-David-Martin-Howard-of-University-of-York-on-apporaching-digital-sound-alikes.jpg|right|thumb|338px|A picture of a cut-away titled "''Voice-terrorist could mimic a leader''" from a 2012 [[w:Helsingin Sanomat]] warning that the sound-like-anyone machines are approaching. Thank you to homie [https://pure.york.ac.uk/portal/en/researchers/david-martin-howard(ecfa9e9e-1290-464f-981a-0c70a534609e).html Prof. David Martin Howard] of the [[w:University of York]], UK and the anonymous editor for the heads-up.]]
[[File:Helsingin-Sanomat-2012-David-Martin-Howard-of-University-of-York-on-apporaching-digital-sound-alikes.jpg|right|thumb|338px|A picture of a cut-away titled "''Voice-terrorist could mimic a leader''" from a 2012 [[w:Helsingin Sanomat]] warning that the sound-like-anyone machines are approaching. Thank you to homie [https://pure.york.ac.uk/portal/en/researchers/david-martin-howard(ecfa9e9e-1290-464f-981a-0c70a534609e).html Prof. David Martin Howard] of the [[w:University of York]], UK and the anonymous editor for the heads-up.]]


Living people can defend<ref group="footnote" name="judiciary maybe not aware">Whether a suspect can defend against faked synthetic speech that sounds like him/her depends on how up-to-date the judiciary is. If no information and instructions about digital sound-alikes have been given to the judiciary, they likely will not believe the defense of denying that the recording is of the suspect's voice.</ref> themselves against digital sound-alike by denying the things the digital sound-alike says if they are presented to the target, but dead people cannot. Digital sound-alikes offer criminals new disinformation attack vectors and wreak havoc on provability.  
The first English speaking digital sound-alikes were first introduced in 2016 by Adobe and Deepmind, but neither of them were made publicly available.
<section begin=GoogleTransferLearning2018 />
Then in '''2018''' at the '''[[w:Conference on Neural Information Processing Systems]]''' (NeurIPS) the work [http://papers.nips.cc/paper/7700-transfer-learning-from-speaker-verification-to-multispeaker-text-to-speech-synthesis 'Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis'] ([https://arxiv.org/abs/1806.04558 at arXiv.org]) was presented. The pre-trained model is able to steal voices from a sample of only '''5 seconds''' with almost convincing results
 
The Iframe below is transcluded from [https://google.github.io/tacotron/publications/speaker_adaptation/ ''''''Audio samples from "Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis"'''''' at google.gituhub.io], the audio samples of a sound-like-anyone machine presented as at the 2018 [[w:NeurIPS]] conference by Google researchers.
 
Have a listen.
 
{{#Widget:Iframe - Audio samples from Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis by Google Research}}
 
Observe how good the "VCTK p240" system is at deceiving to think that it is a person that is doing the talking.
 
<section end=GoogleTransferLearning2018 />
 
''' Reporting on the sound-like-anyone-machines '''
* [https://www.forbes.com/sites/bernardmarr/2019/05/06/artificial-intelligence-can-now-copy-your-voice-what-does-that-mean-for-humans/#617f6d872a2a '''"Artificial Intelligence Can Now Copy Your Voice: What Does That Mean For Humans?"''' May 2019 reporting at forbes.com] on [[w:Baidu Research]]'es attempt at the sound-like-anyone-machine demonstrated at the 2018 [[w:NeurIPS]] conference.
 
 
The to the right [https://www.youtube.com/watch?v=0sR1rU3gLzQ video 'This AI Clones Your Voice After Listening for 5 Seconds' by '2 minute papers' at YouTube] describes the voice thieving machine presented by Google Research in [[w:NeurIPS|w:NeurIPS]] 2018.
 
{{#ev:youtube|0sR1rU3gLzQ|640px|right|Video [https://www.youtube.com/watch?v=0sR1rU3gLzQ video 'This AI Clones Your Voice After Listening for 5 Seconds' by '2 minute papers' at YouTube] describes the voice thieving machine by Google Research in [[w:NeurIPS|w:NeurIPS]] 2018.}}
 
=== Documented crimes with digital sound-alikes ===
In 2019 reports of crimes being committed with digital sound-alikes started surfacing. As of Jan 2022 no reports of other types of attack than fraud have been found.
 
==== 2019 digital sound-alike enabled fraud  ====
By 2019 digital sound-alike anyone technology found its way to the hands of criminals. In '''2019''' [[w:NortonLifeLock|Symantec]] researchers knew of 3 cases where digital sound-alike technology had been used for '''[[w:crime]]'''.<ref name="Washington Post reporting on 2019 digital sound-alike fraud" />
 
Of these crimes the most publicized was a fraud case in March 2019 where 220,000€ were defrauded with the use of a real-time digital sound-alike.<ref name="WSJ original reporting on 2019 digital sound-alike fraud" /> The company that was the victim of this fraud had bought some kind of cyberscam insurance from French insurer [[w:Euler Hermes]] and the case came to light when Mr. Rüdiger Kirsch of Euler Hermes informed [[w:The Wall Street Journal]] about it.<ref name="Forbes reporting on 2019 digital sound-alike fraud" />
 
''' Reporting on the 2019 digital sound-alike enabled fraud '''
* [https://www.wsj.com/articles/fraudsters-use-ai-to-mimic-ceos-voice-in-unusual-cybercrime-case-11567157402 '''''Fraudsters Used AI to Mimic CEO’s Voice in Unusual Cybercrime Case''''' at wsj.com] original reporting, date unknown, updated 2019-08-30<ref name="WSJ original reporting on 2019 digital sound-alike fraud">
 
{{cite web
|url=https://www.wsj.com/articles/fraudsters-use-ai-to-mimic-ceos-voice-in-unusual-cybercrime-case-11567157402
|title=Fraudsters Used AI to Mimic CEO’s Voice in Unusual Cybercrime Case
|last=Stupp
|first=Catherine
|date=2019-08-30
|website=[[w:wsj.com]]
|publisher=[[w:The Wall Street Journal]]
|access-date=2022-01-01
|quote=}}


For these reasons the bannable '''raw materials''' i.e. covert voice models '''[[Law proposals to ban covert modeling|should be prohibited by law]]''' in order to protect humans from abuse by criminal parties.
</ref>


=== Documented digital sound-alike attacks ===
* [https://www.bbc.com/news/technology-48908736 '''"Fake voices 'help cyber-crooks steal cash''''" at bbc.com] July 2019 reporting <ref name="BBC reporting on 2019 digital sound-alike fraud">
* Sound like anyone technology found its way to the hands of criminals as in '''2019''' [[w:NortonLifeLock|Symantec]] researchers knew of 3 cases where technology has been used for '''[[w:crime]]'''
** [https://www.bbc.com/news/technology-48908736 '''"Fake voices 'help cyber-crooks steal cash''''" at bbc.com] July 2019 reporting <ref name="BBC2019">
{{cite web
{{cite web
  |url= https://www.bbc.com/news/technology-48908736
  |url= https://www.bbc.com/news/technology-48908736
Line 131: Line 247:
  |quote= }}
  |quote= }}
</ref>
</ref>
** [https://www.washingtonpost.com/technology/2019/09/04/an-artificial-intelligence-first-voice-mimicking-software-reportedly-used-major-theft/ '''"An artificial-intelligence first: Voice-mimicking software reportedly used in a major theft"''' at washingtonpost.com] documents a [[w:fraud]] committed with digital sound-like-anyone-machine, July 2019 reporting.<ref name="WaPo2019">
* [https://www.washingtonpost.com/technology/2019/09/04/an-artificial-intelligence-first-voice-mimicking-software-reportedly-used-major-theft/ '''"An artificial-intelligence first: Voice-mimicking software reportedly used in a major theft"''' at washingtonpost.com] documents a [[w:fraud]] committed with digital sound-like-anyone-machine, July 2019 reporting.<ref name="Washington Post reporting on 2019 digital sound-alike fraud">
{{cite web
{{cite web
  |url= https://www.washingtonpost.com/technology/2019/09/04/an-artificial-intelligence-first-voice-mimicking-software-reportedly-used-major-theft/
  |url= https://www.washingtonpost.com/technology/2019/09/04/an-artificial-intelligence-first-voice-mimicking-software-reportedly-used-major-theft/
Line 141: Line 257:
  |publisher= [[w:Washington Post]]
  |publisher= [[w:Washington Post]]
  |access-date= 2019-07-22
  |access-date= 2019-07-22
  |quote= }}
  |quote=Researchers at the cybersecurity firm Symantec said they have found at least three cases of executives’ voices being mimicked to swindle companies. Symantec declined to name the victim companies or say whether the Euler Hermes case was one of them, but it noted that the losses in one of the cases totaled millions of dollars.}}
</ref>
</ref>
----
* [https://www.forbes.com/sites/jessedamiani/2019/09/03/a-voice-deepfake-was-used-to-scam-a-ceo-out-of-243000/ '''''A Voice Deepfake Was Used To Scam A CEO Out Of $243,000''''' at forbes.com], 2019-09-03 reporting<ref name="Forbes reporting on 2019 digital sound-alike fraud">
 
{{cite web
|url=https://www.forbes.com/sites/jessedamiani/2019/09/03/a-voice-deepfake-was-used-to-scam-a-ceo-out-of-243000/
|title=A Voice Deepfake Was Used To Scam A CEO Out Of $243,000
|last=Damiani
|first=Jesse
|date=2019-09-03
|website=[[w:Forbes.com]]
|publisher=[[w:Forbes]]
|access-date=2022-01-01
|quote=According to a new report in The Wall Street Journal, the CEO of an unnamed UK-based energy firm believed he was on the phone with his boss, the chief executive of firm’s the German parent company, when he followed the orders to immediately transfer €220,000 (approx. $243,000) to the bank account of a Hungarian supplier. In fact, the voice belonged to a fraudster using AI voice technology to spoof the German chief executive. Rüdiger Kirsch of Euler Hermes Group SA, the firm’s insurance company, shared the information with WSJ.}}


=== 'Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis' 2018 by Google Research (external transclusion) ===
</ref>
<section begin=GoogleTransferLearning2018 />
* In the '''2018''' at the '''[[w:Conference on Neural Information Processing Systems]]''' (NeurIPS) the work [http://papers.nips.cc/paper/7700-transfer-learning-from-speaker-verification-to-multispeaker-text-to-speech-synthesis 'Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis'] ([https://arxiv.org/abs/1806.04558 at arXiv.org]) was presented. The pre-trained model is able to steal voices from a sample of only '''5 seconds''' with almost convincing results


Observe how good the "VCTK p240" system is at deceiving to think that it is a person that is doing the talking.
==== 2020 digital sound-alike fraud attempt ====
In June 2020 fraud was attempted with a poor quality pre-recorded digital sound-alike with delivery method was voicemail. ([https://soundcloud.com/jason-koebler/redacted-clip '''Listen to a redacted clip''' at soundcloud.com]) The recipient in a tech company didn't believe the voicemail to be real and alerted the company and they realized that someone tried to scam them. The company called in Nisos to investigate the issue. Nisos analyzed the evidence and they were certain it was a fake, but had aspects of a cut-and-paste job to it. Nisos prepared [https://www.nisos.com/blog/synthetic-audio-deepfake/ a report titled '''''"The Rise of Synthetic Audio Deepfakes"''''' at nisos.com] on the issue and shared it with Motherboard, part of [[w:Vice (magazine)]] prior to its release.<ref name="Vice reporting on 2020 digital sound-alike fraud attempt">


{{#Widget:Iframe - Audio samples from Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis by Google Research}}
{{cite web
|url=https://www.vice.com/en/article/pkyqvb/deepfake-audio-impersonating-ceo-fraud-attempt
|title=Listen to This Deepfake Audio Impersonating a CEO in Brazen Fraud Attempt
|last=Franceschi-Bicchierai
|first=Lorenzo
|date=2020-07-23
|website=[[w:Vice.com]]
|publisher=[[w:Vice (magazine)]]
|access-date=2022-01-03
|quote=}}


The Iframe above is transcluded from [https://google.github.io/tacotron/publications/speaker_adaptation/ 'Audio samples from "Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis"' at google.gituhub.io], the audio samples of a sound-like-anyone machine presented as at the 2018 [[w:NeurIPS]] conference by Google researchers.
<section end=GoogleTransferLearning2018 />


=== Digital sing-alikes ===
</ref>
The to the right [https://www.youtube.com/watch?v=0sR1rU3gLzQ video 'This AI Clones Your Voice After Listening for 5 Seconds' by '2 minute papers' at YouTube] describes the voice thieving machine presented by Google Research in [[w:NeurIPS|w:NeurIPS]] 2018.
{{#ev:youtube|0sR1rU3gLzQ|640px|right|Video [https://www.youtube.com/watch?v=0sR1rU3gLzQ video 'This AI Clones Your Voice After Listening for 5 Seconds' by '2 minute papers' at YouTube] describes the voice thieving machine by Google Research in [[w:NeurIPS|w:NeurIPS]] 2018.}}


As of 2020 the digital sing-alikes may not yet be here, but when we hear a faked singing voice and we cannot hear that it is fake, then we will know. An ability to sing does not seem to add much hostile capabilities compared to the ability to thieve spoken word.
==== 2021 digital sound-alike enabled fraud ====


* [https://arxiv.org/abs/1910.11690 ''''''Fast and High-Quality Singing Voice Synthesis System based on Convolutional Neural Networks'''''' at arxiv.org], a 2019 singing voice synthesis technique using [[w:convolutional neural network|w:convolutional neural networks (CNN)]]. Accepted into the 2020 [[w:International Conference on Acoustics, Speech, and Signal Processing|International Conference on Acoustics, Speech, and Signal Processing (ICASSP)]].
<section begin=2021 digital sound-alike enabled fraud />The 2nd publicly known fraud done with a digital sound-alike<ref group="1st seen in" name="2021 digital sound-alike fraud case">https://www.reddit.com/r/VocalSynthesis/</ref> took place on Friday 2021-01-15. A bank in Hong Kong was manipulated to wire money to numerous bank accounts by using a voice stolen from one of the their client company's directors. They managed to defraud $35 million of the U.A.E. based company's money.<ref name="Forbes reporting on 2021 digital sound-alike fraud">https://www.forbes.com/sites/thomasbrewster/2021/10/14/huge-bank-fraud-uses-deep-fake-voice-tech-to-steal-millions/</ref>. This case came into light when Forbes saw [https://www.documentcloud.org/documents/21085009-hackers-use-deep-voice-tech-in-400k-theft a document] where the U.A.E. financial authorities were seeking administrative assistance from the US authorities towards recovering a small portion of the defrauded money that had been sent to bank accounts in the USA.<ref name="Forbes reporting on 2021 digital sound-alike fraud" />
* [http://compmus.ime.usp.br/sbcm/2019/papers/sbcm-2019-7.pdf ''''''State of art of real-time singing voice synthesis'''''' at compmus.ime.usp.br] presented at the 2019 [http://compmus.ime.usp.br/sbcm/2019/program/ 17th Brazilian Symposium on Computer Music]
* [http://theses.fr/2017PA066511 ''''''Synthesis and expressive transformation of singing voice'''''' at theses.fr] [https://www.theses.fr/2017PA066511.pdf as .pdf] a 2017 doctorate thesis by [http://theses.fr/227185943 Luc Ardaillon]
* [http://mtg.upf.edu/node/512 ''''''Synthesis of the Singing Voice by Performance Sampling and Spectral Models'''''' at mtg.upf.edu], a 2007 journal article in the [[w:IEEE Signal Processing Society]]'s Signal Processing Magazine
* [https://www.researchgate.net/publication/4295714_Speech-to-Singing_Synthesis_Converting_Speaking_Voices_to_Singing_Voices_by_Controlling_Acoustic_Features_Unique_to_Singing_Voices ''''''Speech-to-Singing Synthesis: Converting Speaking Voices to Singing Voices by Controlling Acoustic Features Unique to Singing Voices'''''' at researchgate.net], a November 2007 paper published in the IEEE conference on Applications of Signal Processing to Audio and Acoustics


'''Reporting on the 2021 digital sound-alike enabled fraud'''


* [[w:Category:Singing software synthesizers]]
* [https://www.forbes.com/sites/thomasbrewster/2021/10/14/huge-bank-fraud-uses-deep-fake-voice-tech-to-steal-millions/ '''''Fraudsters Cloned Company Director’s Voice In $35 Million Bank Heist, Police Find''''' at forbes.com] 2021-10-14 original reporting
* [https://www.unite.ai/deepfaked-voice-enabled-35-million-bank-heist-in-2020/ '''''Deepfaked Voice Enabled $35 Million Bank Heist in 2020''''' at unite.ai]<ref group="1st seen in" name="2021 digital sound-alike fraud case" /> reporting updated on 2021-10-15
* [https://www.aiaaic.org/aiaaic-repository/ai-and-algorithmic-incidents-and-controversies/usd-35m-voice-cloning-heist '''''USD 35m voice cloning heist''''' at aiaaic.org], October 2021 AIAAIC repository entry
<section end=2021 digital sound-alike enabled fraud />


----
'''More fraud cases with digital sound-alikes'''
* [https://www.washingtonpost.com/technology/2023/03/05/ai-voice-scam/ '''''They thought loved ones were calling for help. It was an AI scam.''''' at washingtonpost.com], March 2023 reporting


=== Example of a hypothetical 4-victim digital sound-alike attack ===
=== Example of a hypothetical 4-victim digital sound-alike attack ===
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# Victim #3 - It could also be viewed that victim #3 is our law enforcement systems as they are put to chase after and interrogate the innocent victim #1
# Victim #3 - It could also be viewed that victim #3 is our law enforcement systems as they are put to chase after and interrogate the innocent victim #1
# Victim #4 - Our judiciary which prosecutes and possibly convicts the innocent victim #1.
# Victim #4 - Our judiciary which prosecutes and possibly convicts the innocent victim #1.
Thus it is high time to act and to '''[[Law proposals to ban covert modeling|criminalize the covert modeling of human voice!]]'''


=== Examples of speech synthesis software not quite able to fool a human yet ===
=== Examples of speech synthesis software not quite able to fool a human yet ===
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* '''[https://cstr-edinburgh.github.io/merlin/ Merlin]''', a [[w:neural network]] based speech synthesis system by the Centre for Speech Technology Research at the [[w:University of Edinburgh]]
* '''[https://cstr-edinburgh.github.io/merlin/ Merlin]''', a [[w:neural network]] based speech synthesis system by the Centre for Speech Technology Research at the [[w:University of Edinburgh]]
* [https://papers.nips.cc/paper/8206-neural-voice-cloning-with-a-few-samples ''''Neural Voice Cloning with a Few Samples''' at papers.nips.cc], [[w:Baidu Research]]'es shot at sound-like-anyone-machine did not convince in '''2018'''
* [https://papers.nips.cc/paper/8206-neural-voice-cloning-with-a-few-samples ''''Neural Voice Cloning with a Few Samples''' at papers.nips.cc], [[w:Baidu Research]]'es shot at sound-like-anyone-machine did not convince in '''2018'''
=== Reporting on the sound-like-anyone-machines ===
* [https://www.forbes.com/sites/bernardmarr/2019/05/06/artificial-intelligence-can-now-copy-your-voice-what-does-that-mean-for-humans/#617f6d872a2a '''"Artificial Intelligence Can Now Copy Your Voice: What Does That Mean For Humans?"''' May 2019 reporting at forbes.com] on [[w:Baidu Research]]'es attempt at the sound-like-anyone-machine demonstrated at the 2018 [[w:NeurIPS]] conference.


=== Temporal limit of digital sound-alikes ===
=== Temporal limit of digital sound-alikes ===
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[[File:Spectrogram-19thC.png|thumb|right|640px|A [[w:spectrogram]] of a male voice saying 'nineteenth century']]
[[File:Spectrogram-19thC.png|thumb|right|640px|A [[w:spectrogram]] of a male voice saying 'nineteenth century']]
=== What should we do about digital sound-alikes? ===
Living people can defend<ref group="footnote" name="judiciary maybe not aware">Whether a suspect can defend against faked synthetic speech that sounds like him/her depends on how up-to-date the judiciary is. If no information and instructions about digital sound-alikes have been given to the judiciary, they likely will not believe the defense of denying that the recording is of the suspect's voice.</ref> themselves against digital sound-alike by denying the things the digital sound-alike says if they are presented to the target, but dead people cannot. Digital sound-alikes offer criminals new disinformation attack vectors and wreak havoc on provability.
For these reasons the bannable '''raw materials''' i.e. covert voice models '''[[Law proposals to ban covert modeling|should be prohibited by law]]''' in order to protect humans from abuse by criminal parties.
It is high time to act and to '''[[Law proposals to ban covert modeling|criminalize the covert modeling of human voice!]]'''


== Text syntheses ==
== Text syntheses ==
[[w:Chatbot]]s have existed for a longer time, but only now armed with AI they are becoming more deceiving.  
[[w:Chatbot]]s and [[w:spamming]] have existed for a longer time, but only now armed with AI they are becoming more deceiving.  


In [[w:natural language processing]] development in [[w:natural-language understanding]] leads to more cunning [[w:natural-language generation]] AI.
In [[w:natural language processing]] development in [[w:natural-language understanding]] leads to more cunning [[w:natural-language generation]] AI.
'''[[w:Large language model]]s''' ('''LLM''') are very large [[w:language model]]s consisting of a [[w:Artificial neural network|w:neural network]] with many parameters.


[[w:OpenAI]]'s [[w:OpenAI#GPT|w:Generative Pre-trained Transformer]] ('''GPT''') is a left-to-right [[w:transformer (machine learning model)]]-based [[w:Natural-language generation|text generation]] model succeeded by [[w:OpenAI#GPT-2|w:GPT-2]] and [[w:OpenAI#GPT-3|w:GPT-3]]
[[w:OpenAI]]'s [[w:OpenAI#GPT|w:Generative Pre-trained Transformer]] ('''GPT''') is a left-to-right [[w:transformer (machine learning model)]]-based [[w:Natural-language generation|text generation]] model succeeded by [[w:OpenAI#GPT-2|w:GPT-2]] and [[w:OpenAI#GPT-3|w:GPT-3]]
November 2022 saw the publication of OpenAI's '''[[w:ChatGPT]]''', a conversational artificial intelligence.
'''[[w:Bard (chatbot)]]''' is a conversational [[w:generative artificial intelligence]] [[w:chatbot]] developed by [[w:Google]], based on the [[w:LaMDA]] family of [[w:large language models]]. It was developed as a direct response to the rise of [[w:OpenAI]]'s [[w:ChatGPT]], and was released in March 2023. ([https://en.wikipedia.org/w/index.php?title=Bard_(chatbot)&oldid=1152361586 Wikipedia])
''' Reporting / announcements ''' (in reverse chronology)
* [https://blogs.microsoft.com/blog/2023/02/07/reinventing-search-with-a-new-ai-powered-microsoft-bing-and-edge-your-copilot-for-the-web/ '''''Reinventing search with a new AI-powered Microsoft Bing and Edge, your copilot for the web''''' at blogs.microsoft.com] '''February 2023''' (2023-02-07). The new improved Bing, available only in Microsoft's Edge browser is reportedly based on a language model refined from GPT 3.5.<ref>https://www.theverge.com/2023/2/7/23587454/microsoft-bing-edge-chatgpt-ai</ref>


''' Reporting / announcements '''
* [https://openai.com/blog/new-ai-classifier-for-indicating-ai-written-text '''New AI classifier for indicating AI-written text''' at openai.com], a '''January 2023''' blog post about OpenAI's AI classifier for detecting AI-written texts.
 
* [https://openai.com/blog/chatgpt '''''Introducing ChatGPT''''' at openai.com] '''November 2022''' (2022-11-30)


* [https://www.technologyreview.com/2020/08/14/1006780/ai-gpt-3-fake-blog-reached-top-of-hacker-news/ ''''A college kid’s fake, AI-generated blog fooled tens of thousands. This is how he made it.'''' at technologyreview.com] '''August 2020''' reporting in the [[w:MIT Technology Review]] by Karen Hao about GPT-3.
* [https://www.technologyreview.com/2020/08/14/1006780/ai-gpt-3-fake-blog-reached-top-of-hacker-news/ ''''A college kid’s fake, AI-generated blog fooled tens of thousands. This is how he made it.'''' at technologyreview.com] '''August 2020''' reporting in the [[w:MIT Technology Review]] by Karen Hao about GPT-3.
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* [https://analyticssteps.com/blogs/detection-fake-and-false-news-text-analysis-approaches-and-cnn-deep-learning-model '''"Detection of Fake and False News (Text Analysis): Approaches and CNN as Deep Learning Model"''' at analyticsteps.com], a 2019 summmary written by Shubham Panth.
* [https://analyticssteps.com/blogs/detection-fake-and-false-news-text-analysis-approaches-and-cnn-deep-learning-model '''"Detection of Fake and False News (Text Analysis): Approaches and CNN as Deep Learning Model"''' at analyticsteps.com], a 2019 summmary written by Shubham Panth.


== Countermeasures against synthetic human-like fakes ==
=== Detectors for synthesized texts ===


<section begin=APW_AI-transclusion />
Introduction of [[w:ChatGPT]] by OpenAI brought the need for software to detect machine-generated texts.
=== Organizations against synthetic human-like fakes ===


[[File:DARPA_Logo.jpg|thumb|left|240px|The Defense Advanced Research Projects Agency, better known as [[w:DARPA]] has been active in the field of countering synthetic fake video for longer than the public has been aware of the problems existing.]]
Try AI plagiarism detection for free


* '''[[w:DARPA]]''' [https://www.darpa.mil/program/media-forensics '''DARPA program''': ''''Media Forensics'''' ('''MediFor''') at darpa.mil] aims to develop technologies for the automated assessment of the integrity of an image or video and integrating these in an end-to-end media forensics platform. Archive.org first crawled their homepage in [https://web.archive.org/web/20160630154819/https://www.darpa.mil/program/media-forensics June '''2016''']<ref name="IA-MediFor-2016-crawl">https://web.archive.org/web/20160630154819/https://www.darpa.mil/program/media-forensics</ref>.
* [https://contentdetector.ai/ '''AI Content Detector''' at contentdetector.ai]- ''AI Content Detector - Detect ChatGPT Plagiarism'' ('''try for free''')
* [https://platform.openai.com/ai-text-classifier '''AI Text Classifier''' at platform.openai.com]- ''The AI Text Classifier is a fine-tuned GPT model that predicts how likely it is that a piece of text was generated by AI from a variety of sources, such as ChatGPT.'' ('''free account required''')
* [https://gptradar.com/ '''GPT Radar''' at gptradar.com] - ''AI text detector app'' ('''try for free''')<ref group="1st seen in" name="Wordlift.io 2023">https://wordlift.io/blog/en/best-plagiarism-checkers-for-ai-generated-content/</ref>
* [https://gptzero.me/ '''GPTZero''' at gptzero.me] - ''The World's #1 AI Detector with over 1 Million Users'' ('''try for free''')
* [https://copyleaks.com/plagiarism-checker '''Plagiarism Checker''' at copyleaks.com]- ''Plagiarism Checker by Copyleaks'' ('''try for free''')<ref group="1st seen in" name="Wordlift.io 2023" />
* https://gowinston.ai/ - ''The most powerful AI content detection solution'' ('''free-tier available''')<ref group="1st seen in" name="Wordlift.io 2023" />
* [https://www.zerogpt.com/ '''ZeroGPT''' at zerogpt.com]<ref group="1st seen in" name="Wordlift.io 2023" /> - ''GPT-4 And ChatGPT detector by ZeroGPT: detect OpenAI text - ZeroGPT the most Advanced and Reliable Chat GPT and GPT-4 detector tool'' ('''try for free''')


* [https://www.darpa.mil/program/semantic-forensics '''DARPA program''': ''''Semantic Forensics'''' ('''SemaFor''') at darpa.mil] aims to counter synthetic disinformation by developing systems for detecting semantic inconsistencies in forged media. They state that they hope to create technologies that "will help identify, deter, and understand adversary disinformation campaigns". More information at [[w:Duke University]]'s [https://researchfunding.duke.edu/semantic-forensics-semafor '''Research Funding database: Semantic Forensics (SemaFor)''' at researchfunding.duke.edu] and some at [https://www.grants.gov/web/grants/view-opportunity.html?oppId=319894 '''Semantic Forensics grant opportunity''' (closed Nov 2019) at grants.gov]. Archive.org first cralwed their website in [https://web.archive.org/web/20191108090036/https://www.darpa.mil/program/semantic-forensics November '''2019''']<ref name="IA-SemaFor-2019-crawl">https://web.archive.org/web/20191108090036/https://www.darpa.mil/program/semantic-forensics November</ref>
For-a-fee AI plagiarism detection tools
* https://originality.ai/ - ''The Most Accurate AI Content Detector and Plagiarism Checker Built for Serious Content Publishers''<ref group="1st seen in" name="Wordlift.io 2023" />
* https://www.turnitin.com/ - ''Empower students to do their best, original work''<ref group="1st seen in" name="Wordlift.io 2023" />


* '''[[w:University of Colorado Denver]]''' is the home of the [https://artsandmedia.ucdenver.edu/areas-of-study/national-center-for-media-forensics/about-the-national-center-for-media-forensics '''National Center for Media Forensics''' at artsandmedia.ucdenver.edu] at the [[w:University of Colorado Denver]] offers a [https://artsandmedia.ucdenver.edu/areas-of-study/national-center-for-media-forensics/media-forensics-graduate-program Master's degree program], [https://artsandmedia.ucdenver.edu/areas-of-study/national-center-for-media-forensics/training-courses training courses] and [https://artsandmedia.ucdenver.edu/areas-of-study/national-center-for-media-forensics/national-center-for-media-forensics-research scientific basic and applied research]. [https://artsandmedia.ucdenver.edu/areas-of-study/national-center-for-media-forensics/faculty-staff Faculty staff at the NCMF]
== Handwriting syntheses ==


[[File:Connie Leyva 2015.jpg|thumb|left|240px|[[w:California]] [[w:California State Senate|w:Senator]] [[w:Connie Leyva]] introduced [https://leginfo.legislature.ca.gov/faces/billNavClient.xhtml?bill_id=201920200SB564 California Senate Bill SB 564] in Feb '''2019'''. It has been [https://www.sagaftra.org/action-alert-support-california-bill-end-deepfake-porn endorsed by SAG-AFTRA], but has not yet passed.]]
Handwriting syntheses could be used
# Defensively, to hide one's handwriting style from public view
# Offensively, to thieve somebody else's handwriting style


* '''[[w:SAG-AFTRA]]''' [https://www.sagaftra.org/action-alert-support-california-bill-end-deepfake-porn SAG-AFTRA ACTION ALERT: '''"Support California Bill to End Deepfake Porn"''' at sagaftra.org '''endorses'''] [https://leginfo.legislature.ca.gov/faces/billNavClient.xhtml?bill_id=201920200SB564 California Senate Bill SB 564] introduced to the  [[w:California State Senate]] by [[w:California]] [[w:Connie Leyva|w:Senator Connie Leyva]] in Feb '''2019'''.
If the handwriting-like synthesis passes human and media forensics testing, it is a '''digital handwrite-alike'''.


=== Organizations possibly against synthetic human-like fakes ===
Here we find a possible '''risk''' similar to that which became a reality, when the '''[[w:speaker recognition]] systems''' turned out to be instrumental in the development of '''[[#Digital sound-alikes|digital sound-alikes]]'''. After the knowledge needed to recognize a speaker was [[w:Transfer learning|w:transferred]] into a generative task in 2018 by Google researchers, we no longer cannot effectively determine for English speakers which recording is human in origin and which is from a machine origin.


Originally harvested from the study [https://www.europarl.europa.eu/RegData/etudes/STUD/2020/634452/EPRS_STU(2020)634452_EN.pdf The ethics of artificial intelligence: Issues and initiatives (.pdf)]  by the [[w:European Parliamentary Research Service]], published on the [[w:Europa (web portal)]] in March 2020.<ref group="1st seen in" name="EU-Parl-Ethical-AI-Study-2020">
'''Handwriting-like syntheses''':
[[w:Recurrent neural network]]s (RNN) seem are a popular choice for this task.
 
* [https://github.com/topics/handwriting-synthesis GitHub topic '''handwriting-synthesis'''] has 29 public repositories as of September 2021.  
* [https://github.com/topics/handwriting-generation GitHub topic '''handwriting-generation'''] has 21 public repositories as of September 2021.


{{cite web
|url= https://www.europarl.europa.eu/RegData/etudes/STUD/2020/634452/EPRS_STU(2020)634452_EN.pdf
|title= The ethics of artificial intelligence: Issues and initiatives
|last=
|first=
|date= March 2020
|website= [[w:Europa (web portal)]]
|publisher=[[w:European Parliamentary Research Service]]
|access-date=2021-02-17
|quote=This study deals with the ethical implications and moral questions that arise from the development and implementation of artificial intelligence (AI) technologies.}}


</ref>
* [https://www.sciencedirect.com/science/article/abs/pii/S0031320319303814 '''''Deep imitator: Handwriting calligraphy imitation via deep attention networks'''' at sciencedirect.com], published in [[w:Pattern Recognition (journal)]] in August '''2020'''.


* [https://ieai.mcts.tum.de/ '''INSTITUTE FOR ETHICS IN ARTIFICIAL INTELLIGENCE''' at ieai.mcts.tum.de] received initial funding from [[w:Facebook]] in 2019.<ref group="1st seen in" name="EU-Parl-Ethical-AI-Study-2020"/> [https://www.linkedin.com/company/ieaitum/ IEAI on LinkedIn.com]
* [https://greydanus.github.io/2016/08/21/handwriting/ '''Scribe''' - ''Generating Realistic Handwriting with TensorFlow'' at greydanus.github.io] blog post published on '''2016'''-08-21. [https://github.com/greydanus/scribe '''Scribe code''' at github.com]


* [https://ethical.institute/ '''The Institute for Ethical AI & Machine Learning''' at ethical.institute]<ref group="1st seen in" name="EU-Parl-Ethical-AI-Study-2020"/> [https://www.linkedin.com/company/the-institute-for-ethical-machine-learning/ The Institute for Ethical AI & Machine Learning on LinkedIn.com]
* [https://dl.acm.org/doi/10.1145/2886099 '''''My Text in Your Handwriting''''' at dl.acm.org], a system from [[w:University College London]] published on '''2016'''-05-18 in [[w:ACM Transactions on Graphics]].<ref group="1st seen in">https://www.ucl.ac.uk/news/2016/aug/new-computer-programme-replicates-handwriting via Google search for "ai handwriting generator"</ref>


* [https://www.buckingham.ac.uk/research-the-institute-for-ethical-ai-in-education/ '''The Institute for Ethical AI in Education''' at buckingham.ac.uk]<ref group="1st seen in" name="EU-Parl-Ethical-AI-Study-2020"/>
* [https://arxiv.org/abs/1308.0850  '''''Generating Sequences With Recurrent Neural Networks''''' at arxiv.org] by Alex Graves published on '''2013'''-08-04 in Neural and Evolutionary Computing.
:#[https://www.cs.toronto.edu/~graves/handwriting.html '''''Recurrent neural network handwriting generation demo''''' at cs.toronto.edu] is a demonstration site for publication
:# [https://www.calligrapher.ai/ '''Calligrapher.ai''' - ''Realistic computer-generated handwriting''] - The user may control parameters: speed, legibility, stroke width and style. The domain is registered by some organization in Iceland and the website offers no about-page<ref group="1st seen in">https://seanvasquez.com/handwriting-generation redirects to Calligrapher.ai - seen in https://www.reddit.com/r/MachineLearning/comments/gh9cbg/p_generate_handwriting_with_an_inbrowser/</ref>. According to [https://www.reddit.com/r/MachineLearning/comments/gh9cbg/p_generate_handwriting_with_an_inbrowser/ this reddit post] Calligrapher.ai is based on Graves' 2013 work, but "''adds an [[w:inference]] model to allow for sampling latent style vectors (similar to the VAE model used by SketchRNN)''".<ref>https://www.reddit.com/r/MachineLearning/comments/gh9cbg/p_generate_handwriting_with_an_inbrowser/</ref>


* [https://futureoflife.org/ '''Future of Life Institute''' at futureoflife.org] received funding from private donors.<ref group="1st seen in" name="EU-Parl-Ethical-AI-Study-2020"/> See [[w:Future of Life Institute]] for more info.
''' Handwriting recognition '''


* [https://www.ai-gakkai.or.jp/ '''The Japanese Society for Artificial Intelligence''' ('''JSAI''') at ai-gakkai.or.jp]. Publication: Ethical guidelines.<ref group="1st seen in" name="EU-Parl-Ethical-AI-Study-2020"/>
* '''[[w:Handwriting recognition]]''' ('''HWR'''), also known as '''Handwritten Text Recognition''' ('''HTR'''), is the ability of a computer to receive and interpret intelligible [[w:handwriting|w:handwritten]] input (Wikipedia)
* '''[[w:Intelligent word recognition]]''', or '''IWR''', is the recognition of unconstrained handwritten words.<ref>
{{Cite web
|url=https://www.efilecabinet.com/what-is-iwr-intelligent-word-recognition-how-is-it-related-to-document-management/
|title=What is IWR? (Intelligent Word Recognition)
|date=2016-01-04
|website=eFileCabinet
|language=en-US
|access-date=2021-09-21
}}


* [https://ai-4-all.org/ '''AI4All''' at ai-4-all.org] funded by [[w:Google]]<ref group="1st seen in" name="EU-Parl-Ethical-AI-Study-2020"/> [https://www.linkedin.com/company/ai4allorg/ AI4All on LinkedIn.com]
</ref> (Wikipedia)


* [https://thefuturesociety.org/ '''The Future Society''' at thefuturesociety.org]<ref group="1st seen in" name="EU-Parl-Ethical-AI-Study-2020"/> [https://www.linkedin.com/company/thefuturesociety/ The Future Society on LinkedIn.com]
* [https://github.com/topics/handwriting-recognition GitHub topic '''handwriting-recognition'''] contains 238 repositories as of September 2021.


* [https://ainowinstitute.org/ '''The Ai Now Institute''' at ainowinstitute.org] at [[w:New York University]]<ref group="1st seen in" name="EU-Parl-Ethical-AI-Study-2020"/> [https://www.linkedin.com/company/ai-now-institute/about/ The Ai Now Institute on LinkedIn.com]
== Singing syntheses ==


* [https://www.partnershiponai.org/ '''Partnership on AI''' at partnershiponai.org] is based in the USA and funded by technology companies. See [[w:Partnership on AI]] and [https://www.linkedin.com/company/partnershipai/ Partnership on AI on LinkedIn.com] for more info.
As of 2020 the '''digital sing-alikes''' may not yet be here, but when we hear a faked singing voice and we cannot hear that it is fake, then we will know. An ability to sing does not seem to add much hostile capabilities compared to the ability to thieve spoken word.


* [https://responsiblerobotics.org/ '''The Foundation for Responsible Robotics''' at responsiblerobotics.org] is based in [[w:Netherlands]].<ref group="1st seen in" name="EU-Parl-Ethical-AI-Study-2020"/> [https://www.linkedin.com/company/foundation-for-responsible-robotics/about/ The Foundation for Responsible Robotics on LinkedIn.com]
* [https://arxiv.org/abs/1910.11690 ''''''Fast and High-Quality Singing Voice Synthesis System based on Convolutional Neural Networks'''''' at arxiv.org], a 2019 singing voice synthesis technique using [[w:convolutional neural network|w:convolutional neural networks (CNN)]]. Accepted into the 2020 [[w:International Conference on Acoustics, Speech, and Signal Processing|International Conference on Acoustics, Speech, and Signal Processing (ICASSP)]].
* [http://compmus.ime.usp.br/sbcm/2019/papers/sbcm-2019-7.pdf ''''''State of art of real-time singing voice synthesis'''''' at compmus.ime.usp.br] presented at the 2019 [http://compmus.ime.usp.br/sbcm/2019/program/ 17th Brazilian Symposium on Computer Music]
* [http://theses.fr/2017PA066511 ''''''Synthesis and expressive transformation of singing voice'''''' at theses.fr] [https://www.theses.fr/2017PA066511.pdf as .pdf] a 2017 doctorate thesis by [http://theses.fr/227185943 Luc Ardaillon]
* [http://mtg.upf.edu/node/512 ''''''Synthesis of the Singing Voice by Performance Sampling and Spectral Models'''''' at mtg.upf.edu], a 2007 journal article in the [[w:IEEE Signal Processing Society]]'s Signal Processing Magazine
* [https://www.researchgate.net/publication/4295714_Speech-to-Singing_Synthesis_Converting_Speaking_Voices_to_Singing_Voices_by_Controlling_Acoustic_Features_Unique_to_Singing_Voices ''''''Speech-to-Singing Synthesis: Converting Speaking Voices to Singing Voices by Controlling Acoustic Features Unique to Singing Voices'''''' at researchgate.net], a November 2007 paper published in the IEEE conference on Applications of Signal Processing to Audio and Acoustics


* [https://ai4people.eu/ '''AI4People''' at ai4people.eu] is based in [[w:Belgium]] is a multi-stakeholder forum.<ref group="1st seen in" name="EU-Parl-Ethical-AI-Study-2020"/> [https://www.linkedin.com/company/ai-for-people/ AI4People on LinkedIn.com]


* [https://aiethicsinitiative.org/ '''The Ethics and Governance of Artificial Intelligence Initiative''' at aiethicsinitiative.org] is based in the USA.<ref group="1st seen in" name="EU-Parl-Ethical-AI-Study-2020"/>
* [[w:Category:Singing software synthesizers]]


* [https://www.saidot.ai/ '''Saidot''' at saidot.ai] is a Finnish company offering a platform for AI transparency, explainability and communication.<ref group="1st seen in" name="EU-Parl-Ethical-AI-Study-2020"/> [https://www.linkedin.com/company/saidot/ Saidot on LinkedIn.com]
----


* [https://www.eu-robotics.net/ '''euRobotics''' at eu-robotics.net] is funded by the [[w:European Commission]].<ref group="1st seen in" name="EU-Parl-Ethical-AI-Study-2020"/>
= Timeline  of synthetic human-like fakes =
See the #SSFWIKI '''[[Mediatheque]]''' for viewing media that is or is probably to do with synthetic human-like fakes.


* [https://www.gov.uk/government/organisations/centre-for-data-ethics-and-innovation '''Centre for Data Ethics and Innovation''' at gov.uk] financed by the UK govt. [https://cdei.blog.gov.uk/ '''Centre for Data Ethics and Innovation Blog''' at cdei.blog.gov.uk]<ref group="1st seen in" name="EU-Parl-Ethical-AI-Study-2020"/> [https://www.linkedin.com/company/centre-for-data-ethics-innovation/ Centre for Data Ethics and Innovation on LinkedIn.com]
== 2020's synthetic human-like fakes ==


* [http://sigai.acm.org/ '''ACM Special Interest Group on Artificial Intelligence''' at sigai.acm.org] is a [[w:Special Interest Group]] on AI by [[w:Association for Computing Machinery|ACM]].<ref group="1st seen in" name="EU-Parl-Ethical-AI-Study-2020"/>
* '''2023''' | '''<font color="orange">Real-time digital look-and-sound-alike crime</font>''' | In April a man in northern China was defrauded of 4.3 million yuan by a criminal employing a digital look-and-sound-alike pretending to be his friend on a video call made with a stolen messaging service account.<ref name="Reuters real-time digital look-and-sound-alike crime  2023"/>


* [https://ethicsinaction.ieee.org/ '''IEEE Ethics in Action - in Autonomous and Intelligent Systems''' at ethicsinaction.ieee.org]
* '''2023''' | '''<font color="orange">Election meddling with digital look-alikes</font>''' | The [[w:2023 Turkish presidential election]] saw numerous deepfake controversies.  


=== Other essential developments ===
** "''Ahead of the election in Turkey, President Recep Tayyip Erdogan showed a video linking his main challenger Kemal Kilicdaroglu to the militant Kurdish organization PKK.''" [...] "''Research by DW's fact-checking team in cooperation with DW's Turkish service shows that the video at the campaign rally was '''manipulated''' by '''combining two separate videos''' with totally different backgrounds and content.''" [https://www.dw.com/en/fact-check-turkeys-erdogan-shows-false-kilicdaroglu-video/a-65554034 reports dw.com]  
* [https://www.montrealdeclaration-responsibleai.com/ '''The Montréal Declaration for a Responsible Development of Artificial Intelligence''' at montrealdeclaration-responsibleai.com] and the same site in French [https://www.declarationmontreal-iaresponsable.com/ '''La Déclaration de Montéal IA responsable''' at declarationmontreal-iaresponsable.com]<ref group="1st seen in" name="EU-Parl-Ethical-AI-Study-2020"/>
* [https://uniglobalunion.org/ '''UNI Global Union''' at uniglobalunion.org] is based in [[w:Nyon]], [[w:Switzerland]] and deals mainly with labor issues to do with AI and robotics.<ref group="1st seen in" name="EU-Parl-Ethical-AI-Study-2020"/> [https://www.linkedin.com/company/uni-global-union/ UNI Global Union on LinkedIn.com]
* [https://cordis.europa.eu/project/id/IST-2000-26048 '''European Robotics Research Network''' at cordis.europa.eu] funded by the [[w:European Commission]].<ref group="1st seen in" name="EU-Parl-Ethical-AI-Study-2020"/>
* [https://www.eu-robotics.net/ '''European Robotics Platform''' at eu-robotics.net] is funded by the [[w:European Commission]]. See [[w:European Robotics Platform]] and [[w:List of European Union robotics projects#EUROP]] for more info.<ref group="1st seen in" name="EU-Parl-Ethical-AI-Study-2020"/>


=== Events against synthetic human-like fakes ===
* '''2023''' | March 7 th | '''<font color="red">science / demonstration</font>''' | Microsoft researchers submitted a paper for publication outlining their [https://arxiv.org/abs/2303.03926 '''Cross-lingual neural codec language modeling system''' at arxiv.org] dubbed [https://www.microsoft.com/en-us/research/project/vall-e-x/vall-e-x/ '''VALL-E X''' at microsoft.com], that extends upon VALL-E's capabilities to be cross-lingual and also maintaining the same "''emotional tone''" from sample to fake.


* '''2020''' | '''[[w:Conference on Computer Vision and Pattern Recognition]] (CVPR)''' | [https://sites.google.com/view/wmediaforensics2020/home 2020 Conference on Computer Vision and Pattern Recognition:  ''''Workshop on Media Forensics'''' at sites.google.com], a '''June 2020''' workshop at the [[w:Conference on Computer Vision and Pattern Recognition]].  
* '''2023''' | January 5th | '''<font color="red">science / demonstration</font>''' | Microsoft researchers announced [https://www.microsoft.com/en-us/research/project/vall-e/ '''''VALL-E''''' - Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers (at microsoft.com)] that is able to thieve a voice from only '''3 seconds of sample''' and it is also able to mimic the "''emotional tone''" of the sample the synthesis if produced of.<ref>
{{cite web
| url = https://arstechnica.com/information-technology/2023/01/microsofts-new-ai-can-simulate-anyones-voice-with-3-seconds-of-audio/
| title = Microsoft’s new AI can simulate anyone’s voice with 3 seconds of audio
| last = Edwards
| first = Benj
| date = 2023-01-10
| website = [[w:Arstechnica.com]]
| publisher = Arstechnica
| access-date = 2023-05-05
| quote = For the paper's conclusion, they write: "Since VALL-E could synthesize speech that maintains speaker identity, it may carry potential risks in misuse of the model, such as spoofing voice identification or impersonating a specific speaker. To mitigate such risks, it is possible to build a detection model to discriminate whether an audio clip was synthesized by VALL-E. We will also put Microsoft AI Principles into practice when further developing the models."
}}
</ref>


* '''2020''' | The winners of the [https://venturebeat.com/2020/06/12/facebook-detection-challenge-winners-spot-deepfakes-with-82-accuracy/ Deepfake Detection Challenge reach 82% accuracy in detecting synthetic human-like fakes]<ref name="VentureBeat2020">https://venturebeat.com/2020/06/12/facebook-detection-challenge-winners-spot-deepfakes-with-82-accuracy/</ref>
* '''2023''' | January 1st | '''<font color="green">Law</font>''' | {{#lst:Law on sexual offences in Finland 2023|what-is-it}}


* '''2019''' | At the annual Finnish [[w:Ministry of Defence (Finland)|w:Ministry of Defence]]'s [https://www.defmin.fi/en/frontpage/overview/ministry_of_defence/departments_and_units/defence_policy_department/scientific_advisory_board_for_defence_%28matine%29#d779859d '''Scientific Advisory Board for Defence''' ('''MATINE''')] public research seminar, a research group presented their work [https://www.defmin.fi/files/4755/1315MATINE_seminaari_21.11.pdf ''''''Synteettisen median tunnistus''''''' at defmin.fi] (Recognizing synthetic media). They developed on earlier work on how to automatically detect synthetic human-like fakes and their work was funded with a grant from MATINE.
* '''2022''' | <font color="orange">'''science'''</font> and <font color="green">'''demonstration'''</font> | [[w:OpenAI]][https://openai.com/ (.com)] published [[w:ChatGPT]], a discutational AI accessible with a free account at [https://chat.openai.com/ chat.openai.com]. Initial version was published on 2022-11-30.


* '''2019''' | '''[[w:Conference on Neural Information Processing Systems|w:NeurIPS]]''' | [[w:Facebook, Inc.]] [https://spectrum.ieee.org/tech-talk/artificial-intelligence/machine-learning/facebook-ai-launches-its-deepfake-detection-challenge '''"Facebook AI Launches Its Deepfake Detection Challenge"''' at spectrum.ieee.org] [[w:IEEE Spectrum]]. More reporting at [https://venturebeat.com/2019/12/11/facebook-microsoft-and-others-launch-deepfake-detection-challenge/ '''''"Facebook, Microsoft, and others launch Deepfake Detection Challenge"''''' at venturebeat.com]
* '''2022''' | '''<font color="green">brief report of counter-measures</font>''' | {{#lst:Protecting world leaders against deep fakes using facial, gestural, and vocal mannerisms|what-is-it}} Publication date 2022-11-23.


* '''2019''' | '''CVPR''' | [https://sites.google.com/view/mediaforensics2019/home '''2019''' CVPR: ''''Workshop on Media Forensics'''']
* '''2022''' | '''<font color="green">counter-measure</font>''' | {{#lst:Detecting deep-fake audio through vocal tract reconstruction|what-is-it}}
:{{#lst:Detecting deep-fake audio through vocal tract reconstruction|original-reporting}}. Presented to peers in August 2022 and to the general public in September 2022.


* '''Annual''' (?) | '''[[w:National Institute of Standards and Technology]] (NIST)  | [https://www.nist.gov/itl/iad/mig/media-forensics-challenge NIST: 'Media Forensics Challenge'''' at nist.gov], an iterative research challenge by the [[w:National Institute of Standards and Technology]] with the ongoing challenge being the 2nd one in action. [https://www.nist.gov/itl/iad/mig/media-forensics-challenge-2019-0 the evaluation criteria for the 2019 iteration are being formed]
* '''2022''' | <font color="orange">'''disinformation attack'''</font> | In June 2022 a fake digital look-and-sound-alike in the appearance and voice of [[w:Vitali Klitschko]], mayor of [[w:Kyiv]], held fake video phone calls with several European mayors. The Germans determined that the video phone call was fake by contacting the Ukrainian officials. This attempt at covert disinformation attack was originally reported by [[w:Der Spiegel]].<ref>https://www.theguardian.com/world/2022/jun/25/european-leaders-deepfake-video-calls-mayor-of-kyiv-vitali-klitschko</ref><ref>https://www.dw.com/en/vitali-klitschko-fake-tricks-berlin-mayor-in-video-call/a-62257289</ref>


* '''2018''' | '''[[w:European Conference on Computer Vision|w:European Conference on Computer Vision (ECCV)]]''' [https://sites.google.com/view/wocm2018/home ECCV 2018: ''''Workshop on Objectionable Content and Misinformation'''' at sites.google.com], a workshop at the '''2018''' [[w:European Conference on Computer Vision]] in [[w:Munich]] had focus on objectionable content detection e.g. [[w:nudity]], [[w:pornography]], [[w:violence]], [[w:hate]], [[w:Child sexual abuse|w:children exploitation]] and [[w:terrorism]] among others and to address misinformation problems when people are fed [[w:disinformation]] and they punt it on as misinformation. Announced topics included [[w:Outline of forensic science|w:image/video forensics]], [[w:detection]]/[[w:analysis]]/[[w:understanding]] of [[w:Counterfeit|w:fake]] images/videos, [[w:misinformation]] detection/understanding: mono-modal and [[w:Multimodality|w:multi-modal]], adversarial technologies and detection/understanding of objectionable content
* '''2022''' | science | [[w:DALL-E]] 2, a successor designed to generate more realistic images at higher resolutions that "can combine concepts, attributes, and styles" was published in April 2022.<ref>{{Cite web |title=DALL·E 2 |url=https://openai.com/dall-e-2/ |access-date=2023-04-22 |website=OpenAI |language=en-US}}</ref> ([https://en.wikipedia.org/w/index.php?title=DALL-E&oldid=1151136107 Wikipedia])


* '''2018''' | '''[[w:National Institute of Standards and Technology|w:NIST]]''' [https://www.nist.gov/itl/iad/mig/media-forensics-challenge-2018 NIST ''''Media Forensics Challenge 2018'''' at nist.gov] was the second annual evaluation to support research and help advance the state of the art for image and video forensics technologies – technologies that determine the region and type of manipulations in imagery (image/video data) and the phylogenic process that modified the imagery.


* '''2017''' | '''[[w:National Institute of Standards and Technology|w:NIST]]''' [https://www.nist.gov/itl/iad/mig/nimble-challenge-2017-evaluation NIST ''''Nimble Challenge 2017'''' at nist.gov]
* '''2022''' | '''<font color="green">counter-measure</font>''' | {{#lst:Protecting President Zelenskyy against deep fakes|what-is-it}} Preprint published in February 2022 and submitted to [[w:arXiv]] in June 2022


=== Studies against synthetic human-like fakes ===
* '''2022''' | '''<font color="green">science / review of counter-measures</font>''' | [https://www.mdpi.com/1999-4893/15/5/155 ''''''A Review of Modern Audio Deepfake Detection Methods: Challenges and Future Directions'''''' at mdpi.com]<ref name="Audio Deepfake detection review 2022">


* [https://arxiv.org/abs/2001.06564 ''''Media Forensics and DeepFakes: an overview'''' at arXiv.org] [https://arxiv.org/pdf/2001.06564.pdf (as .pdf at arXiv.org)], an overview on the subject of digital look-alikes and media forensics published in August '''2020''' in [https://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=9177372 Volume 14 Issue 5 of IEEE Journal of Selected Topics in Signal Processing]. [https://ieeexplore.ieee.org/document/9115874 ''''Media Forensics and DeepFakes: An Overview'''' at ieeexplore.ieee.org] (paywalled, free abstract)
{{cite journal
| last1      = Almutairi
| first1    = Zaynab
| last2      = Elgibreen
| first2    = Hebah
| date      = 2022-05-04
| title      = A Review of Modern Audio Deepfake Detection Methods: Challenges and Future Directions
| url        = https://www.mdpi.com/1999-4893/15/5/155
| journal    = [[w:Algorithms (journal)]]
| volume    =
| issue      =
| pages      =
| doi        = https://doi.org/10.3390/a15050155
| access-date = 2022-10-18
}}


* [https://scholarship.law.duke.edu/cgi/viewcontent.cgi?article=1333&context=dltr ''''DEEPFAKES: False pornography is here and the law cannot protect you'''' at scholarship.law.duke.edu] by Douglas Harris, published in [https://scholarship.law.duke.edu/dltr/vol17/iss1/ Duke Law & Technology Review - Volume 17 on '''2019'''-01-05] by [[w:Duke University]] [[w:Duke University School of Law]]
</ref>, a review of audio deepfake detection methods by researchers Zaynab Almutairi and Hebah Elgibreen of the [[w:King Saud University]], Saudi Arabia published in [[w:Algorithms (journal)]] on Wednesday 2022-05-04 published by the [[w:MDPI]] (Multidisciplinary Digital Publishing Institute). This article belongs to the Special Issue [https://www.mdpi.com/journal/algorithms/special_issues/Adversarial_Federated_Machine_Learning ''Commemorative Special Issue: Adversarial and Federated Machine Learning: State of the Art and New Perspectives'' at mdpi.com]


''' Search for more '''
* '''2022''' | '''<font color="green">science / counter-measure</font>''' | [https://arxiv.org/abs/2203.15563 ''''''Attacker Attribution of Audio Deepfakes'''''' at arxiv.org], a pre-print was presented at the [https://www.interspeech2022.org/ Interspeech 2022 conference] organized by [[w:International Speech Communication Association]] in Korea September 18-22 2022.
* [[w:Law review]]
** [[w:List of law reviews in the United States]]


=== Companies against synthetic human-like fakes ===
* '''2021''' | Science and demonstration | In the NeurIPS 2021 held virtually in December researchers from Nvidia and [[w:Aalto University]] present their paper [https://nvlabs.github.io/stylegan3/ '''''Alias-Free Generative Adversarial Networks (StyleGAN3)''''' at nvlabs.github.io] and associated [https://github.com/NVlabs/stylegan3 implementation] in [[w:PyTorch]] and the results are deceivingly human-like in appearance. [https://nvlabs-fi-cdn.nvidia.com/stylegan3/stylegan3-paper.pdf StyleGAN3 paper as .pdf at nvlabs-fi-cdn.nvidia.com]


* '''[https://cyabra.com/ Cyabra.com]''' is an AI-based system that helps organizations be on the guard against disinformation attacks<ref group="1st seen in" name="ReutersDisinfomation2020">https://www.reuters.com/article/us-cyber-deepfake-activist/deepfake-used-to-attack-activist-couple-shows-new-disinformation-frontier-idUSKCN24G15E</ref>. [https://www.reuters.com/article/us-cyber-deepfake-activist/deepfake-used-to-attack-activist-couple-shows-new-disinformation-frontier-idUSKCN24G15E Reuters.com reporting] from July 2020.
* '''2021''' | Entertainment | The Swedish pop band [[w:ABBA]] published an album in September and will be performing shows where the music is live and real, but the visuals will be [[#Age analysis and rejuvenating and aging syntheses|rejuvenated]] [[#Digital look-alikes|digital look-alikes]] of the band members displayed to the fans with [[w:holography]] technology. ABBA used [[w:Industrial Light & Magic]] as the purveyor of technology. [[w:Industrial Light & Magic]] was acquired by [[w:The Walt Disney Company]] in 2012 as part of their acquisition [[w:Lucasfilm]].


<section end=APW_AI-transclusion />
* '''2021''' | Controversy | July 2021 saw the release of [[w:Roadrunner: A Film About Anthony Bourdain]] and soon controversy arose, as the director [[w:Morgan Neville]] admitted to [[w:Helen Rosner]], a food writer for [[w:The New Yorker]] that he had contracted an AI company to thieve [[w:Anthony Bourdain]]'s voice and used it to insert audio that sounded like him, without declaring it as faked.<ref name="NewYorker 2020">


=== SSF! wiki proposed countermeasure to synthetic porn: Adequate Porn Watcher AI (transcluded) ===
{{Cite magazine
Transcluded main contents from [[Adequate Porn Watcher AI (concept)]]
|last=Rosner
|first=Helen
|author-link=[[w:Helen Rosner]]
|date=2021-07-15
|title=A Haunting New Documentary About Anthony Bourdain
|url=https://www.newyorker.com/culture/annals-of-gastronomy/the-haunting-afterlife-of-anthony-bourdain
|url-status=live
|access-date=2021-08-25
|magazine=[[w:The New Yorker]]
|language=en-US
}}


{{#lstx:Adequate Porn Watcher AI (concept)|See_also}}
</ref><ref group="1st seen in">
Witness newsletter I subscribed to at https://www.witness.org/get-involved/
</ref>


=== Possible legal response: Outlawing digital sound-alikes (transcluded) ===
* '''2021''' | Science | [https://arxiv.org/pdf/2102.05630.pdf '''''Voice Cloning: a Multi-Speaker Text-to-Speech Synthesis Approach based on Transfer Learning''''' .pdf at arxiv.org], a paper submitted in Feb 2021 by researchers from the [[w:University of Turin]].<ref group="1st seen in" name="ConnectedPapers suggestion on Google Transfer learning 2018" />
Transcluded from [[Law proposals#Law proposal to ban unauthorized modeling of human voice|Juho's proposal on banning digital sound-alikes]]


{{#section-h:Law proposals|Law proposal to ban unauthorized modeling of human voice}}
* '''2021''' | '''<font color="red">crime / fraud</font>''' | {{#lst:Synthetic human-like fakes|2021 digital sound-alike enabled fraud}}


== Timeline  of synthetic human-like fakes ==
* '''2021''' | science and demonstration | '''DALL-E''', a [[w:deep learning]] model developed by [[w:OpenAI]] to generate digital images from [[w:natural language]] descriptions, called "prompts" was published in January 2021. DALL-E uses a version of [[w:GPT-3]] modified to generate images. (Adapted from [https://en.wikipedia.org/w/index.php?title=DALL-E&oldid=1151136107 Wikipedia])


=== 2020's synthetic human-like fakes ===
* '''<font color="green">2020</font>''' | '''<font color="green">counter-measure</font>''' | The [https://incidentdatabase.ai/ ''''''AI Incident Database'''''' at incidentdatabase.ai] was introduced on 2020-11-18 by the [[w:Partnership on AI]].<ref name="PartnershipOnAI2020">https://www.partnershiponai.org/aiincidentdatabase/</ref>


[[File:Appearance of Queen Elizabeth II stolen by Channel 4 in Dec 2020 (screenshot at 191s).png|thumb|right|480px|In Dec 2020 Channel 4 aired a Queen-like fake i.e. they had thieved the appearance of Queen Elizabeth II using deepfake methods.]]


* '''<font color="green">2020</font>''' | '''<font color="green">counter-measure</font>''' | On 2020-11-18 the [[w:Partnership on AI]] introduced the [https://incidentdatabase.ai/ ''''''AI Incident Database'''''' at incidentdatabase.ai].<ref name="PartnershipOnAI2020">https://www.partnershiponai.org/aiincidentdatabase/</ref>
* '''2020''' | '''Controversy''' / '''Public service announcement''' | Channel 4 thieved the appearance of Queen Elizabeth II using deepfake methods. The product of synthetic human-like fakery originally aired on Channel 4 on 25 December at 15:25 GMT.<ref name="Queen-like deepfake 2020 BBC  reporting">https://www.bbc.com/news/technology-55424730</ref> [https://www.youtube.com/watch?v=IvY-Abd2FfM&t=3s View in YouTube]


* '''2020''' | reporting | [https://www.wired.co.uk/article/deepfake-porn-websites-videos-law "''Deepfake porn is now mainstream. And major sites are cashing in''" at wired.co.uk] by Matt Burgess. Published August 2020.
* '''2020''' | reporting | [https://www.wired.co.uk/article/deepfake-porn-websites-videos-law "''Deepfake porn is now mainstream. And major sites are cashing in''" at wired.co.uk] by Matt Burgess. Published August 2020.
Line 372: Line 567:
** [https://www.cnet.com/news/mit-releases-deepfake-video-of-nixon-announcing-nasa-apollo-11-disaster/ Cnet.com July 2020 reporting ''MIT releases deepfake video of 'Nixon' announcing NASA Apollo 11 disaster'']
** [https://www.cnet.com/news/mit-releases-deepfake-video-of-nixon-announcing-nasa-apollo-11-disaster/ Cnet.com July 2020 reporting ''MIT releases deepfake video of 'Nixon' announcing NASA Apollo 11 disaster'']


* '''2020''' | US state law | {{#lst:Current and possible laws and their application|California2020}}
* '''2020''' | US state law | {{#lst:Laws against synthesis and other related crimes|California2020}}
* '''2020''' | Chinese legislation |  {{#lst:Current and possible laws and their application|China2020}}
* '''2020''' | Chinese legislation |  {{#lst:Laws against synthesis and other related crimes|China2020}}
 
=== 2010's synthetic human-like fakes ===


== 2010's synthetic human-like fakes ==
* '''2019''' | science and demonstration | At the December 2019 NeurIPS conference, a novel method for making animated fakes of anything with AI [https://aliaksandrsiarohin.github.io/first-order-model-website/ '''''First Order Motion Model for Image Animation''''' (website at aliaksandrsiarohin.github.io)], [https://proceedings.neurips.cc/paper/2019/file/31c0b36aef265d9221af80872ceb62f9-Paper.pdf (paper)] [https://github.com/AliaksandrSiarohin/first-order-model (github)] was presented.<ref group="1st seen in">https://www.technologyreview.com/2020/08/28/1007746/ai-deepfakes-memes/</ref>
** Reporting [https://www.technologyreview.com/2020/08/28/1007746/ai-deepfakes-memes/ '''''Memers are making deepfakes, and things are getting weird''''' at technologyreview.com], 2020-08-28 by Karen Hao.
* '''2019''' | demonstration | In September 2019 [[w:Yle]], the Finnish [[w:public broadcasting company]], aired a result of experimental [[w:journalism]], [https://yle.fi/uutiset/3-10955498 '''a deepfake of the President in office'''] [[w:Sauli Niinistö]] in its main news broadcast for the purpose of highlighting the advancing disinformation technology and problems that arise from it.
* '''2019''' | demonstration | In September 2019 [[w:Yle]], the Finnish [[w:public broadcasting company]], aired a result of experimental [[w:journalism]], [https://yle.fi/uutiset/3-10955498 '''a deepfake of the President in office'''] [[w:Sauli Niinistö]] in its main news broadcast for the purpose of highlighting the advancing disinformation technology and problems that arise from it.
 
* '''2019''' | US state law | {{#lst:Laws against synthesis and other related crimes|Texas2019}}
* '''2019''' | US state law | {{#lst:Current and possible laws and their application|Texas2019}}
* '''2019''' | US state law | {{#lst:Laws against synthesis and other related crimes|Virginia2019}}
 
* '''2019''' | Science | [https://arxiv.org/pdf/1809.10460.pdf '''''Sample Efficient Adaptive Text-to-Speech''''' .pdf at arxiv.org], a 2019 paper from Google researchers, published as a conference paper at [[w:International Conference on Learning Representations]] (ICLR)<ref group="1st seen in" name="ConnectedPapers suggestion on Google Transfer learning 2018"> https://www.connectedpapers.com/main/8fc09dfcff78ac9057ff0834a83d23eb38ca198a/Transfer-Learning-from-Speaker-Verification-to-Multispeaker-TextToSpeech-Synthesis/graph</ref>
* '''2019''' | US state law | {{#lst:Current and possible laws and their application|Virginia2019}}


* '''2019''' | science and demonstration | [https://arxiv.org/pdf/1905.09773.pdf ''''Speech2Face: Learning the Face Behind a Voice'''' at arXiv.org] a system for generating likely facial features based on the voice of a person, presented by the [[w:MIT Computer Science and Artificial Intelligence Laboratory]] at the 2019 [[w:Conference on Computer Vision and Pattern Recognition|w:CVPR]]. [https://github.com/saiteja-talluri/Speech2Face Speech2Face at github.com] This may develop to something that really causes problems. [https://neurohive.io/en/news/speech2face-neural-network-predicts-the-face-behind-a-voice/ "Speech2Face: Neural Network Predicts the Face Behind a Voice" reporing at neurohive.io], [https://belitsoft.com/speech-recognition-software-development/speech2face "Speech2Face Sees Voices and Hears Faces: Dreams Come True with AI" reporting at belitsoft.com]
* '''2019''' | science and demonstration | [https://arxiv.org/pdf/1905.09773.pdf ''''Speech2Face: Learning the Face Behind a Voice'''' at arXiv.org] a system for generating likely facial features based on the voice of a person, presented by the [[w:MIT Computer Science and Artificial Intelligence Laboratory]] at the 2019 [[w:Conference on Computer Vision and Pattern Recognition|w:CVPR]]. [https://github.com/saiteja-talluri/Speech2Face Speech2Face at github.com] This may develop to something that really causes problems. [https://neurohive.io/en/news/speech2face-neural-network-predicts-the-face-behind-a-voice/ "Speech2Face: Neural Network Predicts the Face Behind a Voice" reporing at neurohive.io], [https://belitsoft.com/speech-recognition-software-development/speech2face "Speech2Face Sees Voices and Hears Faces: Dreams Come True with AI" reporting at belitsoft.com]
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* '''<font color="red">2018</font>''' | <font color="red">science</font> and <font color="red">demonstration</font> | The work [http://papers.nips.cc/paper/7700-transfer-learning-from-speaker-verification-to-multispeaker-text-to-speech-synthesis ''''Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis''''] ([https://arxiv.org/abs/1806.04558 at arXiv.org]) was presented at the 2018 [[w:Conference on Neural Information Processing Systems]] ('''NeurIPS'''). The pre-trained model is able to steal voices from a sample of only '''5 seconds''' with almost convincing results.
* '''<font color="red">2018</font>''' | <font color="red">science</font> and <font color="red">demonstration</font> | The work [http://papers.nips.cc/paper/7700-transfer-learning-from-speaker-verification-to-multispeaker-text-to-speech-synthesis ''''Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis''''] ([https://arxiv.org/abs/1806.04558 at arXiv.org]) was presented at the 2018 [[w:Conference on Neural Information Processing Systems]] ('''NeurIPS'''). The pre-trained model is able to steal voices from a sample of only '''5 seconds''' with almost convincing results.
* '''2018''' | science | [https://arxiv.org/abs/1710.10196 '''Progressive Growing of GANs for Improved Quality, Stability, and Variation''' at arxiv.org] ([https://arxiv.org/pdf/1710.10196.pdf .pdf]), colloquially known as ProGANs were presented by Nvidia researchers at the [https://iclr.cc/Conferences/2018 2018 ICLR]. [[w:International Conference on Learning Representations]]


* '''2018''' | demonstration | At the 2018 [[w:World Internet Conference]] in [[w:Wuzhen]] the [[w:Xinhua News Agency]] presented two digital look-alikes made to the resemblance of its real news anchors Qiu Hao ([[w:Chinese language]])<ref name="TheGuardian2018">
* '''2018''' | demonstration | At the 2018 [[w:World Internet Conference]] in [[w:Wuzhen]] the [[w:Xinhua News Agency]] presented two digital look-alikes made to the resemblance of its real news anchors Qiu Hao ([[w:Chinese language]])<ref name="TheGuardian2018">
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  | quote = }}
  | quote = }}
</ref> Neither the [[w:speech synthesis]] used nor the gesturing of the digital look-alike anchors were good enough to deceive the watcher to mistake them for real humans imaged with a TV camera.
</ref> Neither the [[w:speech synthesis]] used nor the gesturing of the digital look-alike anchors were good enough to deceive the watcher to mistake them for real humans imaged with a TV camera.
* '''2018''' | action | [https://schiff.house.gov/imo/media/doc/2018-09%20ODNI%20Deep%20Fakes%20letter.pdf '''Deep Fakes letter to the Office of the Director of National Intelligence''' at schiff.house.gov], a letter sent to the [[w:Director of National Intelligence]] on 2018-09-13 by congresspeople [[w:Adam Schiff]], [[w:Stephanie Murphy]] and [[w:Carlos Curbelo]] requesting a report be compiled on the synthetic human-like fakes situation and what are the threats and what could be the solutions.<ref group="1st seen in">[https://uk.pcmag.com/security/117402/us-lawmakers-ai-generated-fake-videos-may-be-a-security-threat ''''''US Lawmakers: AI-Generated Fake Videos May Be a Security Threat'''''' at uk.pcmag.com], 2018-09-13 reporting by Michael Kan</ref>


* '''2018''' | controversy / demonstration | The [[w:deepfake]]s controversy surfaces where [[w:Pornographic film|porn video]]s were doctored utilizing [[w:deep learning|w:deep machine learning]] so that the face of the actress was replaced by the software's opinion of what another persons face would look like in the same pose and lighting.
* '''2018''' | controversy / demonstration | The [[w:deepfake]]s controversy surfaces where [[w:Pornographic film|porn video]]s were doctored utilizing [[w:deep learning|w:deep machine learning]] so that the face of the actress was replaced by the software's opinion of what another persons face would look like in the same pose and lighting.
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* '''2016''' | music video | [https://www.youtube.com/watch?v=tMQHAy0HUDo ''''''Plug'''''' by Kube at youtube.com] - A 2016 music video by [[w:Kube (rapper)]] ([[w:fi:Kube]]), that shows deepfake-like technology this early. Video was uploaded on 2016-09-15 and is directed by Faruk Nazeri.
* '''2016''' | music video | [https://www.youtube.com/watch?v=tMQHAy0HUDo ''''''Plug'''''' by Kube at youtube.com] - A 2016 music video by [[w:Kube (rapper)]] ([[w:fi:Kube]]), that shows deepfake-like technology this early. Video was uploaded on 2016-09-15 and is directed by Faruk Nazeri.
* '''2015''' | Science | [https://arxiv.org/abs/1411.7766v3 ''''''Deep Learning Face Attributes in the Wild'''''' at arxiv.org] presented at the 2015 [[w:International Conference on Computer Vision]]


* '''2015''' | movie | In the ''[[w:Furious 7]]'' a digital look-alike made of the actor [[w:Paul Walker]] who died in an accident during the filming was done by [[w:Weta Digital]] to enable the completion of the film.<ref name="thr2015">
* '''2015''' | movie | In the ''[[w:Furious 7]]'' a digital look-alike made of the actor [[w:Paul Walker]] who died in an accident during the filming was done by [[w:Weta Digital]] to enable the completion of the film.<ref name="thr2015">
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* '''2013''' | demonstration | A '''[https://ict.usc.edu/pubs/Scanning%20and%20Printing%20a%203D%20Portrait%20of%20President%20Barack%20Obama.pdf 'Scanning and Printing a 3D Portrait of President Barack Obama' at ict.usc.edu]'''.  A 7D model and a 3D bust was made of President Obama with his consent. Relevancy: <font color="green">'''Relevancy: certain'''</font>
* '''2013''' | demonstration | A '''[https://ict.usc.edu/pubs/Scanning%20and%20Printing%20a%203D%20Portrait%20of%20President%20Barack%20Obama.pdf 'Scanning and Printing a 3D Portrait of President Barack Obama' at ict.usc.edu]'''.  A 7D model and a 3D bust was made of President Obama with his consent. Relevancy: <font color="green">'''Relevancy: certain'''</font>


=== 2000's synthetic human-like fakes ===
* '''2011''' | <font color="green">'''Law in Finland'''</font> | Distribution and attempt of distribution and also possession of '''synthetic [[w:Child sexual abuse material|CSAM]]''' was '''criminalized''' on Wednesday 2011-06-01, upon the initiative of the [[w:Vanhanen II Cabinet]]. These protections against CSAM were moved into 19 §, 20 § and 21 § of Chapter 20 when the [[Law on sexual offences in Finland 2023]] was improved and gathered into Chapter 20 upon the initiative of the [[w:Marin Cabinet]].
 
== 2000's synthetic human-like fakes ==


* '''2010''' | movie | [[w:Walt Disney Pictures]] released a sci-fi sequel entitled ''[[w:Tron: Legacy]]'' with a digitally rejuvenated digital look-alike made of the actor [[w:Jeff Bridges]] playing the [[w:antagonist]] [[w:List of Tron characters#CLU|w:CLU]].
* '''2010''' | movie | [[w:Walt Disney Pictures]] released a sci-fi sequel entitled ''[[w:Tron: Legacy]]'' with a digitally rejuvenated digital look-alike made of the actor [[w:Jeff Bridges]] playing the [[w:antagonist]] [[w:List of Tron characters#CLU|w:CLU]].
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* '''2002''' | music video | '''[https://www.youtube.com/watch?v=3qIXIHAmcKU 'Bullet' by Covenant on Youtube]''' by [[w:Covenant (band)]] from their album [[w:Northern Light (Covenant album)]]. Relevancy: Contains the best upper-torso digital look-alike of Eskil Simonsson (vocalist) that their organization could procure at the time. Here you can observe the '''classic "''skin looks like cardboard''"-bug''' (assuming this was not intended) that '''thwarted efforts to''' make digital look-alikes that '''pass human testing''' before the '''reflectance capture and dissection in 1999''' by [[w:Paul Debevec]] et al. at the [[w:University of Southern California]] and subsequent development of the '''"Analytical [[w:bidirectional reflectance distribution function|w:BRDF]]"''' (quote-unquote) by ESC Entertainment, a company set up for the '''sole purpose''' of '''making the cinematography''' for the 2003 films Matrix Reloaded and Matrix Revolutions '''possible''', lead by George Borshukov.
* '''2002''' | music video | '''[https://www.youtube.com/watch?v=3qIXIHAmcKU 'Bullet' by Covenant on Youtube]''' by [[w:Covenant (band)]] from their album [[w:Northern Light (Covenant album)]]. Relevancy: Contains the best upper-torso digital look-alike of Eskil Simonsson (vocalist) that their organization could procure at the time. Here you can observe the '''classic "''skin looks like cardboard''"-bug''' (assuming this was not intended) that '''thwarted efforts to''' make digital look-alikes that '''pass human testing''' before the '''reflectance capture and dissection in 1999''' by [[w:Paul Debevec]] et al. at the [[w:University of Southern California]] and subsequent development of the '''"Analytical [[w:bidirectional reflectance distribution function|w:BRDF]]"''' (quote-unquote) by ESC Entertainment, a company set up for the '''sole purpose''' of '''making the cinematography''' for the 2003 films Matrix Reloaded and Matrix Revolutions '''possible''', lead by George Borshukov.


=== 1990's synthetic human-like fakes ===
== 1990's synthetic human-like fakes ==


[[File:Institute for Creative Technologies (logo).jpg|thumb|left|156px|Logo of the '''[[w:Institute for Creative Technologies]]''' founded in 1999 in the [[w:University of Southern California]] by the [[w:United States Army]]]]
[[File:Institute for Creative Technologies (logo).jpg|thumb|left|156px|Logo of the '''[[w:Institute for Creative Technologies]]''' founded in 1999 in the [[w:University of Southern California]] by the [[w:United States Army]]]]
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* <font color="red">'''1999'''</font> | <font color="red">'''institute founded'''</font> | The '''[[w:Institute for Creative Technologies]]''' was founded by the [[w:United States Army]] in the [[w:University of Southern California]]. It collaborates with the [[w:United States Army Futures Command]], [[w:United States Army Combat Capabilities Development Command]], [[w:Combat Capabilities Development Command Soldier Center]] and [[w:United States Army Research Laboratory]].<ref name="ICT-about">https://ict.usc.edu/about/</ref>. In 2016 [[w:Hao Li]] was appointed to direct the institute.  
* <font color="red">'''1999'''</font> | <font color="red">'''institute founded'''</font> | The '''[[w:Institute for Creative Technologies]]''' was founded by the [[w:United States Army]] in the [[w:University of Southern California]]. It collaborates with the [[w:United States Army Futures Command]], [[w:United States Army Combat Capabilities Development Command]], [[w:Combat Capabilities Development Command Soldier Center]] and [[w:United States Army Research Laboratory]].<ref name="ICT-about">https://ict.usc.edu/about/</ref>. In 2016 [[w:Hao Li]] was appointed to direct the institute.  
* '''1997''' | '''technology / science''' | [https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/human/bregler-sig97.pdf ''''Video rewrite: Driving visual speech with audio'''' at www2.eecs.berkeley.edu]<ref name="Bregler1997" /><ref group="1st seen in" name="Bohacek-Farid-2022">
PROTECTING PRESIDENT ZELENSKYY AGAINST DEEP FAKES https://arxiv.org/pdf/2206.12043.pdf
</ref> Christoph Breigler, Michelle Covell and Malcom Slaney presented their work at the ACM SIGGRAPH 1997. [https://www.dropbox.com/sh/s4l00z7z4gn7bvo/AAAP5oekFqoelnfZYjS8NQyca?dl=0 Download video evidence of ''Video rewrite: Driving visual speech with audio'' Bregler et al 1997 from dropbox.com], [http://chris.bregler.com/videorewrite/ view author's site at chris.bregler.com], [https://dl.acm.org/doi/10.1145/258734.258880 paper at dl.acm.org] [https://www.researchgate.net/publication/220720338_Video_Rewrite_Driving_Visual_Speech_with_Audio paper at researchgate.net]


* '''1994''' | movie | [[w:The Crow (1994 film)]] was the first film production to make use of [[w:digital compositing]] of a computer simulated representation of a face onto scenes filmed using a [[w:body double]]. Necessity was the muse as the actor [[w:Brandon Lee]] portraying the protagonist was tragically killed accidentally on-stage.
* '''1994''' | movie | [[w:The Crow (1994 film)]] was the first film production to make use of [[w:digital compositing]] of a computer simulated representation of a face onto scenes filmed using a [[w:body double]]. Necessity was the muse as the actor [[w:Brandon Lee]] portraying the protagonist was tragically killed accidentally on-stage.


=== 1970's synthetic human-like fakes ===
== 1970's synthetic human-like fakes ==


{{#ev:vimeo|16292363|480px|right|''[[w:A Computer Animated Hand|w:A Computer Animated Hand]]'' is a 1972 short film by [[w:Edwin Catmull]] and [[w:Fred Parke]]. This was the first time that [[w:computer-generated imagery]] was used in film to animate likenesses of moving human appearance.}}
{{#ev:vimeo|16292363|480px|right|''[[w:A Computer Animated Hand|w:A Computer Animated Hand]]'' is a 1972 short film by [[w:Edwin Catmull]] and [[w:Fred Parke]]. This was the first time that [[w:computer-generated imagery]] was used in film to animate likenesses of moving human appearance.}}
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* '''1971''' | science | '''[https://interstices.info/images-de-synthese-palme-de-la-longevite-pour-lombrage-de-gouraud/ 'Images de synthèse : palme de la longévité pour l’ombrage de Gouraud' (still photos)]'''. [[w:Henri Gouraud (computer scientist)]] made the first [[w:Computer graphics]] [[w:geometry]] [[w:digitization]] and representation of a human face. Modeling was his wife Sylvie Gouraud. The 3D model was a simple [[w:wire-frame model]] and he applied [[w:Gouraud shading]] to produce the '''first known representation''' of '''human-likeness''' on computer. <ref>{{cite web|title=Images de synthèse : palme de la longévité pour l'ombrage de Gouraud|url=http://interstices.info/jcms/c_25256/images-de-synthese-palme-de-la-longevite-pour-lombrage-de-gouraud}}</ref>
* '''1971''' | science | '''[https://interstices.info/images-de-synthese-palme-de-la-longevite-pour-lombrage-de-gouraud/ 'Images de synthèse : palme de la longévité pour l’ombrage de Gouraud' (still photos)]'''. [[w:Henri Gouraud (computer scientist)]] made the first [[w:Computer graphics]] [[w:geometry]] [[w:digitization]] and representation of a human face. Modeling was his wife Sylvie Gouraud. The 3D model was a simple [[w:wire-frame model]] and he applied [[w:Gouraud shading]] to produce the '''first known representation''' of '''human-likeness''' on computer. <ref>{{cite web|title=Images de synthèse : palme de la longévité pour l'ombrage de Gouraud|url=http://interstices.info/jcms/c_25256/images-de-synthese-palme-de-la-longevite-pour-lombrage-de-gouraud}}</ref>


=== 1770's synthetic human-like fakes ===
== 1960's synthetic human-like fakes ==
 
* '''1961''' | demonstration | The first singing by a computer was performed by an [[w:IBM 704]] and the song was [[w:Daisy Bell]], written in 1892 by British songwriter [[w:Harry Dacre]]. Go to [[Mediatheque#1961]] to view.
 
== 1930's synthetic human-like fakes ==
[[File:Homer Dudley (October 1940). "The Carrier Nature of Speech". Bell System Technical Journal, XIX(4);495-515. -- Fig.5 The voder being demonstrated at the New York World's Fair.jpg|thumb|left|300px|'''[[w:Voder]]''' demonstration pavillion at the [[w:1939 New York World's Fair]]]]
 
* '''1939''' | demonstration | '''[[w:Voder]]''' (''Voice Operating Demonstrator'') from the [[w:Bell Labs|w:Bell Telephone Laboratory]] was the first time that [[w:speech synthesis]] was done electronically by breaking it down into its acoustic components. It was invented by [[w:Homer Dudley]] in 1937–1938 and developed on his earlier work on the [[w:vocoder]]. (Wikipedia)
 
== 1770's synthetic human-like fakes ==


[[File:Kempelen Speakingmachine.JPG|right|thumb|300px|A replica of [[w:Wolfgang von Kempelen]]'s [[w:Wolfgang von Kempelen's Speaking Machine]], built 2007–09 at the Department of [[w:Phonetics]], [[w:Saarland University]], [[w:Saarbrücken]], Germany. This machine added models of the tongue and lips, enabling it to produce [[w:consonant]]s as well as [[w:vowel]]s]]
[[File:Kempelen Speakingmachine.JPG|right|thumb|300px|A replica of [[w:Wolfgang von Kempelen]]'s [[w:Wolfgang von Kempelen's Speaking Machine]], built 2007–09 at the Department of [[w:Phonetics]], [[w:Saarland University]], [[w:Saarbrücken]], Germany. This machine added models of the tongue and lips, enabling it to produce [[w:consonant]]s as well as [[w:vowel]]s]]
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----
----


== Footnotes ==
= Footnotes =
<references group="footnote" />  
<references group="footnote" />  


== 1st seen in ==
== Contact information of organizations ==
Please contact [[Organizations, studies and events against synthetic human-like fakes|these organizations]] and tell them to work harder against the disinformation weapons
 
= 1st seen in =
<references group="1st seen in" />
<references group="1st seen in" />


== References ==
 
= References =
<references />
<references />

Latest revision as of 21:00, 19 October 2024

Definitions

When the camera does not exist, but the subject being imaged with a simulation of a (movie) camera deceives the watcher to believe it is some living or dead person it is a digital look-alike.

In 2017-2018 this started to be referred to as w:deepfake, even though altering video footage of humans with a computer with a deceiving effect is actually 20 yrs older than the name "deep fakes" or "deepfakes".[1][2]

When it cannot be determined by human testing or media forensics whether some fake voice is a synthetic fake of some person's voice, or is it an actual recording made of that person's actual real voice, it is a pre-recorded digital sound-alike. This is now commonly referred to as w:audio deepfake.

Real-time digital look-and-sound-alike in a video call was used to defraud a substantial amount of money in 2023.[3]

Read more about synthetic human-like fakes, see and support organizations and events against synthetic human-like fakes and what they are doing, what kinds of Laws against synthesis and other related crimes have been formulated, examine the SSFWIKI timeline of synthetic human-like fakes or view the Mediatheque.


This is not a picture of Obama, because it is not Obama in the video that this screenshot is from, but a synthetic human-like fake, more precisely a pre-recorded digital look-alike.

Click on the picture or Obama's appearance thieved - a public service announcement digital look-alike by Monkeypaw Productions and Buzzfeed to view an April 2018 public service announcement moving digital look-alike made to appear Obama-like. The video is accompanied with imitator sound-alike, and was made by w:Monkeypaw Productions (.com) in conjunction with w:BuzzFeed (.com). You can also View the same video at YouTube.com.[4]
Image 2 (low resolution rip) shows a 1999 technique for sculpting a morphable model, till it matches the target's appearance.
(1) Sculpting a morphable model to one single picture
(2) Produces 3D approximation
(4) Texture capture
(3) The 3D model is rendered back to the image with weight gain
(5) With weight loss
(6) Looking annoyed
(7) Forced to smile Image 2 by Blanz and Vettel – Copyright ACM 1999 – http://dl.acm.org/citation.cfm?doid=311535.311556 – Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page.

Digital look-alikes[edit | edit source]

It is recommended that you watch In Event of Moon Disaster - FULL FILM (2020) at the moondisaster.org project website (where it has interactive portions) by the Center for Advanced Virtuality of the w:MIT


Introduction to digital look-alikes[edit | edit source]

Image 1: Separating specular and diffuse reflected light

(a) Normal image in dot lighting

(b) Image of the diffuse reflection which is caught by placing a vertical polarizer in front of the light source and a horizontal in the front the camera

(c) Image of the highlight specular reflection which is caught by placing both polarizers vertically

(d) Subtraction of c from b, which yields the specular component

Images are scaled to seem to be the same luminosity.

Original image by Debevec et al. – Copyright ACM 2000 – https://dl.acm.org/citation.cfm?doid=311779.344855 – Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page.
Subtraction of the diffuse reflection from the specular reflection yields the specular component of the model's reflectance.

Original picture by w:Paul Debevec et al. - Copyright ACM 2000 https://dl.acm.org/citation.cfm?doid=311779.344855

In the cinemas we have seen digital look-alikes for over 20 years. These digital look-alikes have "clothing" (a simulation of clothing is not clothing) or "superhero costumes" and "superbaddie costumes", and they don't need to care about the laws of physics, let alone laws of physiology. It is generally accepted that digital look-alikes made their public debut in the sequels of The Matrix i.e. w:The Matrix Reloaded and w:The Matrix Revolutions released in 2003. It can be considered almost certain, that it was not possible to make these before the year 1999, as the final piece of the puzzle to make a (still) digital look-alike that passes human testing, the reflectance capture over the human face, was made for the first time in 1999 at the w:University of Southern California and was presented to the crème de la crème of the computer graphics field in their annual gathering SIGGRAPH 2000.[5]


“Do you think that was w:Hugo Weaving's left cheekbone that w:Keanu Reeves punched in with his right fist?”

~ Trad on The Matrix Revolutions



The problems with digital look-alikes[edit | edit source]

Extremely unfortunately for the humankind, organized criminal leagues, that posses the weapons capability of making believable looking synthetic pornography, are producing on industrial production pipelines terroristic synthetic pornography[footnote 1] by animating digital look-alikes and distributing it in the murky Internet in exchange for money stacks that are getting thinner and thinner as time goes by.

These industrially produced pornographic delusions are causing great human suffering, especially in their direct victims, but they are also tearing our communities and societies apart, sowing blind rage, perceptions of deepening chaos, feelings of powerlessness and provoke violence.

These kinds of hate illustration increases and strengthens hate feeling, hate thinking, hate speech and hate crimes and tears our fragile social constructions apart and with time perverts humankind's view of humankind into an almost unrecognizable shape, unless we interfere with resolve.

Children-like sexual abuse images

Sadly by 2023 there is a market for synthetic human-like sexual abuse material that looks like children. See 'Illegal trade in AI child sex abuse images exposed' at bbc.com 2023-06-28 reports w:Stable Diffusion being abused to produce this kind of images. The w:Internet Watch Foundation also reports on the alarming existence of production of synthetic human-like sex abuse material portraying minors. See 'Prime Minister must act on threat of AI as IWF ‘sounds alarm’ on first confirmed AI-generated images of child sexual abuse' at iwf.org.uk (2023-08-18)

Fixing the problems from digital look-alikes[edit | edit source]

We need to move on 3 fields: legal, technological and cultural.

Technological: Computer vision system like FacePinPoint.com for seeking unauthorized pornography / nudes used to exist 2017-2021 and could be revived if funding is found. It was a service practically identical with SSFWIKI original concept Adequate Porn Watcher AI (concept).

Legal: Legislators around the planet have been waking up to this reality that not everything that seems a video of people is a video of people and various laws have been passed to protect humans and humanity from the menaces of synthetic human-like fakes, mostly digital look-alikes so far, but hopefully humans will be protected also fro other aspects of synthetic human-like fakes by laws. See Laws against synthesis and other related crimes

Age analysis and rejuvenating and aging syntheses[edit | edit source]

Temporal limit of digital look-alikes[edit | edit source]

A picture of the 1895 w:Cinematograph

w:History of film technology has information about where the border is.

Digital look-alikes cannot be used to attack people who existed before the technological invention of film. For moving pictures the breakthrough is attributed to w:Auguste and Louis Lumière's w:Cinematograph premiered in Paris on 28 December 1895, though this was only the commercial and popular breakthrough, as even earlier moving pictures exist. (adapted from w:History of film)

The w:Kinetoscope is an even earlier motion picture exhibition device. A prototype for the Kinetoscope was shown to a convention of the National Federation of Women's Clubs on May 20, 1891.[6] The first public demonstration of the Kinetoscope was held at the Brooklyn Institute of Arts and Sciences on May 9, 1893. (Wikipedia)[6]


Digital sound-alikes[edit | edit source]

University of Florida published an antidote to synthetic human-like fake voices in 2022[edit | edit source]

2022 saw a brilliant counter-measure presented to peers at the 31st w:USENIX Security Symposium 10-12 August 2022 by w:University of Florida Detecting deep-fake audio through vocal tract reconstruction.

The university's foundation has applied for a patent and let us hope that they will w:copyleft the patent as this protective method needs to be rolled out to protect the humanity.

Below transcluded from the article

Detecting deep-fake audio through vocal tract reconstruction is an epic scientific work, against fake human-like voices, from the w:University of Florida in published to peers in August 2022.

University of Florida, the home of Florida Institute for Cybersecurity Research (FICS) at fics.institute.ufl.edu, that brought us the Detecting deep-fake audio through vocal tract reconstruction system to hunt down the fake human-like voices.
The Office of Naval Research (ONR) at nre.navy.mil of the USA funded this breakthrough science.

The work Who Are You (I Really Wanna Know)? Detecting Audio DeepFakes Through Vocal Tract Reconstruction at usenix.org, presentation page, version included in the proceedings[7] and slides from researchers of the Florida Institute for Cybersecurity Research (FICS) at fics.institute.ufl.edu in the w:University of Florida received funding from the w:Office of Naval Research and was presented on 2022-08-11 at the 31st w:USENIX Security Symposium.

This work was done by PhD student Logan Blue, Kevin Warren, Hadi Abdullah, Cassidy Gibson, Luis Vargas, Jessica O’Dell, Kevin Butler and Professor Patrick Traynor.

The University of Florida Research Foundation Inc has filed for and received an US patent titled 'Detecting deep-fake audio through vocal tract reconstruction' registration number US20220036904A1 (link to patents.google.com) with 20 claims. The patent application was published on Thursday 2022-02-03. The patent application was approved on 2023-07-04 and has an adjusted expiration date of Sunday 2041-12-29. PhD student Logan Blue and professor Patrick Traynor wrote an article for the general public on the work titled Deepfake audio has a tell – researchers use fluid dynamics to spot artificial imposter voices at theconversation.com[8] that was published Tuesday 2022-09-20 and permanently w:copylefted it under Creative Commons Attribution-NoDerivatives (CC-BY-ND).

This new counter-measure needs to be rolled out to humans to protect humans against the fake human-like voices.


Below is an exact copy of the original article from the SSF! wordpress titled "Amazing method and results from University of Florida scientists in 2022 against the menaces of digital sound-alikes / audio deepfakes". Thank you to the original writers for having the wisdom of licensing the article under CC-BY-ND.


On known history of digital sound-alikes[edit | edit source]

A picture of a cut-away titled "Voice-terrorist could mimic a leader" from a 2012 w:Helsingin Sanomat warning that the sound-like-anyone machines are approaching. Thank you to homie Prof. David Martin Howard of the w:University of York, UK and the anonymous editor for the heads-up.

The first English speaking digital sound-alikes were first introduced in 2016 by Adobe and Deepmind, but neither of them were made publicly available.

Then in 2018 at the w:Conference on Neural Information Processing Systems (NeurIPS) the work 'Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis' (at arXiv.org) was presented. The pre-trained model is able to steal voices from a sample of only 5 seconds with almost convincing results

The Iframe below is transcluded from 'Audio samples from "Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis"' at google.gituhub.io, the audio samples of a sound-like-anyone machine presented as at the 2018 w:NeurIPS conference by Google researchers.

Have a listen.

Observe how good the "VCTK p240" system is at deceiving to think that it is a person that is doing the talking.


Reporting on the sound-like-anyone-machines


The to the right video 'This AI Clones Your Voice After Listening for 5 Seconds' by '2 minute papers' at YouTube describes the voice thieving machine presented by Google Research in w:NeurIPS 2018.

Video video 'This AI Clones Your Voice After Listening for 5 Seconds' by '2 minute papers' at YouTube describes the voice thieving machine by Google Research in w:NeurIPS 2018.

Documented crimes with digital sound-alikes[edit | edit source]

In 2019 reports of crimes being committed with digital sound-alikes started surfacing. As of Jan 2022 no reports of other types of attack than fraud have been found.

2019 digital sound-alike enabled fraud[edit | edit source]

By 2019 digital sound-alike anyone technology found its way to the hands of criminals. In 2019 Symantec researchers knew of 3 cases where digital sound-alike technology had been used for w:crime.[9]

Of these crimes the most publicized was a fraud case in March 2019 where 220,000€ were defrauded with the use of a real-time digital sound-alike.[10] The company that was the victim of this fraud had bought some kind of cyberscam insurance from French insurer w:Euler Hermes and the case came to light when Mr. Rüdiger Kirsch of Euler Hermes informed w:The Wall Street Journal about it.[11]

Reporting on the 2019 digital sound-alike enabled fraud

2020 digital sound-alike fraud attempt[edit | edit source]

In June 2020 fraud was attempted with a poor quality pre-recorded digital sound-alike with delivery method was voicemail. (Listen to a redacted clip at soundcloud.com) The recipient in a tech company didn't believe the voicemail to be real and alerted the company and they realized that someone tried to scam them. The company called in Nisos to investigate the issue. Nisos analyzed the evidence and they were certain it was a fake, but had aspects of a cut-and-paste job to it. Nisos prepared a report titled "The Rise of Synthetic Audio Deepfakes" at nisos.com on the issue and shared it with Motherboard, part of w:Vice (magazine) prior to its release.[13]

2021 digital sound-alike enabled fraud[edit | edit source]

The 2nd publicly known fraud done with a digital sound-alike[1st seen in 1] took place on Friday 2021-01-15. A bank in Hong Kong was manipulated to wire money to numerous bank accounts by using a voice stolen from one of the their client company's directors. They managed to defraud $35 million of the U.A.E. based company's money.[14]. This case came into light when Forbes saw a document where the U.A.E. financial authorities were seeking administrative assistance from the US authorities towards recovering a small portion of the defrauded money that had been sent to bank accounts in the USA.[14]

Reporting on the 2021 digital sound-alike enabled fraud


More fraud cases with digital sound-alikes

Example of a hypothetical 4-victim digital sound-alike attack[edit | edit source]

A very simple example of a digital sound-alike attack is as follows:

Someone puts a digital sound-alike to call somebody's voicemail from an unknown number and to speak for example illegal threats. In this example there are at least two victims:

  1. Victim #1 - The person whose voice has been stolen into a covert model and a digital sound-alike made from it to frame them for crimes
  2. Victim #2 - The person to whom the illegal threat is presented in a recorded form by a digital sound-alike that deceptively sounds like victim #1
  3. Victim #3 - It could also be viewed that victim #3 is our law enforcement systems as they are put to chase after and interrogate the innocent victim #1
  4. Victim #4 - Our judiciary which prosecutes and possibly convicts the innocent victim #1.

Examples of speech synthesis software not quite able to fool a human yet[edit | edit source]

Some other contenders to create digital sound-alikes are though, as of 2019, their speech synthesis in most use scenarios does not yet fool a human because the results contain tell tale signs that give it away as a speech synthesizer.

Temporal limit of digital sound-alikes[edit | edit source]

w:Thomas Edison and his early w:phonograph. Cropped from w:Library of Congress copy, ca. 1877, (probably 18 April 1878)

The temporal limit of whom, dead or living, the digital sound-alikes can attack is defined by the w:history of sound recording.

The article starts by mentioning that the invention of the w:phonograph by w:Thomas Edison in 1877 is considered the start of sound recording.

The phonautograph is the earliest known device for recording w:sound. Previously, tracings had been obtained of the sound-producing vibratory motions of w:tuning forks and other objects by physical contact with them, but not of actual sound waves as they propagated through air or other media. Invented by Frenchman W:Édouard-Léon Scott de Martinville, it was patented on March 25, 1857.[15]

Apparently, it did not occur to anyone before the 1870s that the recordings, called phonautograms, contained enough information about the sound that they could, in theory, be used to recreate it. Because the phonautogram tracing was an insubstantial two-dimensional line, direct physical playback was impossible in any case. Several phonautograms recorded before 1861 were successfully played as sound in 2008 by optically scanning them and using a computer to process the scans into digital audio files. (Wikipedia)

A w:spectrogram of a male voice saying 'nineteenth century'

What should we do about digital sound-alikes?[edit | edit source]

Living people can defend[footnote 2] themselves against digital sound-alike by denying the things the digital sound-alike says if they are presented to the target, but dead people cannot. Digital sound-alikes offer criminals new disinformation attack vectors and wreak havoc on provability.

For these reasons the bannable raw materials i.e. covert voice models should be prohibited by law in order to protect humans from abuse by criminal parties.

It is high time to act and to criminalize the covert modeling of human voice!

Text syntheses[edit | edit source]

w:Chatbots and w:spamming have existed for a longer time, but only now armed with AI they are becoming more deceiving.

In w:natural language processing development in w:natural-language understanding leads to more cunning w:natural-language generation AI.

w:Large language models (LLM) are very large w:language models consisting of a w:neural network with many parameters.

w:OpenAI's w:Generative Pre-trained Transformer (GPT) is a left-to-right w:transformer (machine learning model)-based text generation model succeeded by w:GPT-2 and w:GPT-3

November 2022 saw the publication of OpenAI's w:ChatGPT, a conversational artificial intelligence.

w:Bard (chatbot) is a conversational w:generative artificial intelligence w:chatbot developed by w:Google, based on the w:LaMDA family of w:large language models. It was developed as a direct response to the rise of w:OpenAI's w:ChatGPT, and was released in March 2023. (Wikipedia)

Reporting / announcements (in reverse chronology)

External links

Detectors for synthesized texts[edit | edit source]

Introduction of w:ChatGPT by OpenAI brought the need for software to detect machine-generated texts.

Try AI plagiarism detection for free

For-a-fee AI plagiarism detection tools

Handwriting syntheses[edit | edit source]

Handwriting syntheses could be used

  1. Defensively, to hide one's handwriting style from public view
  2. Offensively, to thieve somebody else's handwriting style

If the handwriting-like synthesis passes human and media forensics testing, it is a digital handwrite-alike.

Here we find a possible risk similar to that which became a reality, when the w:speaker recognition systems turned out to be instrumental in the development of digital sound-alikes. After the knowledge needed to recognize a speaker was w:transferred into a generative task in 2018 by Google researchers, we no longer cannot effectively determine for English speakers which recording is human in origin and which is from a machine origin.

Handwriting-like syntheses: w:Recurrent neural networks (RNN) seem are a popular choice for this task.


  1. Recurrent neural network handwriting generation demo at cs.toronto.edu is a demonstration site for publication
  2. Calligrapher.ai - Realistic computer-generated handwriting - The user may control parameters: speed, legibility, stroke width and style. The domain is registered by some organization in Iceland and the website offers no about-page[1st seen in 4]. According to this reddit post Calligrapher.ai is based on Graves' 2013 work, but "adds an w:inference model to allow for sampling latent style vectors (similar to the VAE model used by SketchRNN)".[17]

Handwriting recognition

Singing syntheses[edit | edit source]

As of 2020 the digital sing-alikes may not yet be here, but when we hear a faked singing voice and we cannot hear that it is fake, then we will know. An ability to sing does not seem to add much hostile capabilities compared to the ability to thieve spoken word.


Timeline of synthetic human-like fakes[edit | edit source]

See the #SSFWIKI Mediatheque for viewing media that is or is probably to do with synthetic human-like fakes.

2020's synthetic human-like fakes[edit | edit source]

  • 2023 | Real-time digital look-and-sound-alike crime | In April a man in northern China was defrauded of 4.3 million yuan by a criminal employing a digital look-and-sound-alike pretending to be his friend on a video call made with a stolen messaging service account.[3]
    • "Ahead of the election in Turkey, President Recep Tayyip Erdogan showed a video linking his main challenger Kemal Kilicdaroglu to the militant Kurdish organization PKK." [...] "Research by DW's fact-checking team in cooperation with DW's Turkish service shows that the video at the campaign rally was manipulated by combining two separate videos with totally different backgrounds and content." reports dw.com
  • 2023 | January 1st | Law | Law on sexual offences in Finland 2023 is found in Chapter 20 of the Finnish Criminal Code titled "Seksuaalirikoksista" ("Sexual offences") and came into effect on Sunday 2023-01-01.[20]

The new law in Finland protects adults against sexual image based abuse be it real or synthetic in origin.

Other countries have also woken up to the problems of synthesis crime and have legislated laws against synthesis and other related crimes.

Relevant sections of Chapter 20


This 2023 upgrade and gather-together of the Finnish Criminal Code on sexual offences was made upon the initiative of the 2019-2023 w:Marin Cabinet, was voted into law by the w:Members of the Parliament of Finland, 2019–2023 and it came into effect on Sunday 2023-01-01.

Translation to English by the Ministry of Justice: Criminal Code (39/1889) - Chapter 20 - Sexual offences (translation) as .pdf at oikeusministerio.fi (subject to possible revisions)

University of Florida, the home of Florida Institute for Cybersecurity Research (FICS) at fics.institute.ufl.edu, that brought us the Detecting deep-fake audio through vocal tract reconstruction system to hunt down the fake human-like voices.
The Office of Naval Research (ONR) at nre.navy.mil of the USA funded this breakthrough science.

The work Who Are You (I Really Wanna Know)? Detecting Audio DeepFakes Through Vocal Tract Reconstruction at usenix.org, presentation page, version included in the proceedings[7] and slides from researchers of the Florida Institute for Cybersecurity Research (FICS) at fics.institute.ufl.edu in the w:University of Florida received funding from the w:Office of Naval Research and was presented on 2022-08-11 at the 31st w:USENIX Security Symposium.

This work was done by PhD student Logan Blue, Kevin Warren, Hadi Abdullah, Cassidy Gibson, Luis Vargas, Jessica O’Dell, Kevin Butler and Professor Patrick Traynor.

The University of Florida Research Foundation Inc has filed for and received an US patent titled 'Detecting deep-fake audio through vocal tract reconstruction' registration number US20220036904A1 (link to patents.google.com) with 20 claims. The patent application was published on Thursday 2022-02-03. The patent application was approved on 2023-07-04 and has an adjusted expiration date of Sunday 2041-12-29.

PhD student Logan Blue and professor Patrick Traynor wrote an article for the general public on the work titled Deepfake audio has a tell – researchers use fluid dynamics to spot artificial imposter voices at theconversation.com[8] that was published Tuesday 2022-09-20 and permanently w:copylefted it under Creative Commons Attribution-NoDerivatives (CC-BY-ND).. Presented to peers in August 2022 and to the general public in September 2022.
  • 2022 | disinformation attack | In June 2022 a fake digital look-and-sound-alike in the appearance and voice of w:Vitali Klitschko, mayor of w:Kyiv, held fake video phone calls with several European mayors. The Germans determined that the video phone call was fake by contacting the Ukrainian officials. This attempt at covert disinformation attack was originally reported by w:Der Spiegel.[21][22]
  • 2022 | science | w:DALL-E 2, a successor designed to generate more realistic images at higher resolutions that "can combine concepts, attributes, and styles" was published in April 2022.[23] (Wikipedia)


  • 2021 | crime / fraud | The 2nd publicly known fraud done with a digital sound-alike[1st seen in 1] took place on Friday 2021-01-15. A bank in Hong Kong was manipulated to wire money to numerous bank accounts by using a voice stolen from one of the their client company's directors. They managed to defraud $35 million of the U.A.E. based company's money.[14]. This case came into light when Forbes saw a document where the U.A.E. financial authorities were seeking administrative assistance from the US authorities towards recovering a small portion of the defrauded money that had been sent to bank accounts in the USA.[14]

Reporting on the 2021 digital sound-alike enabled fraud


  • 2021 | science and demonstration | DALL-E, a w:deep learning model developed by w:OpenAI to generate digital images from w:natural language descriptions, called "prompts" was published in January 2021. DALL-E uses a version of w:GPT-3 modified to generate images. (Adapted from Wikipedia)
In Dec 2020 Channel 4 aired a Queen-like fake i.e. they had thieved the appearance of Queen Elizabeth II using deepfake methods.
  • 2020 | Controversy / Public service announcement | Channel 4 thieved the appearance of Queen Elizabeth II using deepfake methods. The product of synthetic human-like fakery originally aired on Channel 4 on 25 December at 15:25 GMT.[28] View in YouTube
  • 2020 | Chinese legislation | On Wednesday January 1 2020 Chinese law requiring that synthetically faked footage should bear a clear notice about its fakeness came into effect. Failure to comply could be considered a w:crime the w:Cyberspace Administration of China (cac.gov.cn) stated on its website. China announced this new law in November 2019.[32] The Chinese government seems to be reserving the right to prosecute both users and w:online video platforms failing to abide by the rules. [33]


2010's synthetic human-like fakes[edit | edit source]


Code of Virginia (TOC) » Title 18.2. Crimes and Offenses Generally » Chapter 8. Crimes Involving Morals and Decency » Article 5. Obscenity and Related Offenses » Section § 18.2-386.2. Unlawful dissemination or sale of images of another; penalty

The section § 18.2-386.2. Unlawful dissemination or sale of images of another; penalty. of Virginia is as follows:

A. Any w:person who, with the w:intent to w:coerce, w:harass, or w:intimidate, w:maliciously w:disseminates or w:sells any videographic or still image created by any means whatsoever that w:depicts another person who is totally w:nude, or in a state of undress so as to expose the w:genitals, pubic area, w:buttocks, or female w:breast, where such person knows or has reason to know that he is not w:licensed or w:authorized to disseminate or sell such w:videographic or w:still image is w:guilty of a Class 1 w:misdemeanor.

For purposes of this subsection, "another person" includes a person whose image was used in creating, adapting, or modifying a videographic or still image with the intent to depict an actual person and who is recognizable as an actual person by the person's w:face, w:likeness, or other distinguishing characteristic.

B. If a person uses w:services of an w:Internet service provider, an electronic mail service provider, or any other information service, system, or access software provider that provides or enables computer access by multiple users to a computer server in committing acts prohibited under this section, such provider shall not be held responsible for violating this section for content provided by another person.

C. Venue for a prosecution under this section may lie in the w:jurisdiction where the unlawful act occurs or where any videographic or still image created by any means whatsoever is produced, reproduced, found, stored, received, or possessed in violation of this section.

D. The provisions of this section shall not preclude prosecution under any other w:statute.[37]

The identical bills were House Bill 2678 presented by w:Delegate w:Marcus Simon to the w:Virginia House of Delegates on January 14 2019 and three day later an identical Senate bill 1736 was introduced to the w:Senate of Virginia by Senator w:Adam Ebbin.

  • 2019 | demonstration | 'Thispersondoesnotexist.com' (since February 2019) by Philip Wang. It showcases a w:StyleGAN at the task of making an endless stream of pictures that look like no-one in particular, but are eerily human-like. Relevancy: certain
w:Google's logo. Google Research demonstrated their sound-like-anyone-machine at the 2018 w:Conference on Neural Information Processing Systems (NeurIPS). It requires only 5 seconds of sample to steal a voice.
  • 2018 | controversy / demonstration | The w:deepfakes controversy surfaces where porn videos were doctored utilizing w:deep machine learning so that the face of the actress was replaced by the software's opinion of what another persons face would look like in the same pose and lighting.
w:Adobe Inc.'s logo. We can thank Adobe for publicly demonstrating their sound-like-anyone-machine in 2016 before an implementation was sold to criminal organizations.
#w:Adobe Voco. Adobe Audio Manipulator Sneak Peak with w:Jordan Peele (at Youtube.com). November 2016 demonstration of a Adobe's unreleased sound-like-anyone-machine, the w:Adobe Voco at the w:Adobe MAX 2016 event in w:San Diego, w:California. The original Adobe Voco required 20 minutes of sample to thieve a voice.
  • 2013 | demonstration | At the 2013 SIGGGRAPH w:Activision and USC presented a w:real time computing "Digital Ira" a digital face look-alike of Ari Shapiro, an ICT USC research scientist,[44] utilizing the USC light stage X by Ghosh et al. for both reflectance field and motion capture.[45] The end result both precomputed and real-time rendering with the modernest game w:GPU shown here and looks fairly realistic.
  • 2011 | Law in Finland | Distribution and attempt of distribution and also possession of synthetic CSAM was criminalized on Wednesday 2011-06-01, upon the initiative of the w:Vanhanen II Cabinet. These protections against CSAM were moved into 19 §, 20 § and 21 § of Chapter 20 when the Law on sexual offences in Finland 2023 was improved and gathered into Chapter 20 upon the initiative of the w:Marin Cabinet.

2000's synthetic human-like fakes[edit | edit source]

  • 2009 | movie | A digital look-alike of a younger w:Arnold Schwarzenegger was made for the movie w:Terminator Salvation though the end result was critiqued as unconvincing. Facial geometry was acquired from a 1984 mold of Schwarzenegger.
  • 2009 | demonstration | Paul Debevec: 'Animating a photo-realistic face' at ted.com Debevec et al. presented new digital likenesses, made by w:Image Metrics, this time of actress w:Emily O'Brien whose reflectance was captured with the USC light stage 5. At 00:04:59 you can see two clips, one with the real Emily shot with a real camera and one with a digital look-alike of Emily, shot with a simulation of a camera - Which is which is difficult to tell. Bruce Lawmen was scanned using USC light stage 6 in still position and also recorded running there on a w:treadmill. Many, many digital look-alikes of Bruce are seen running fluently and natural looking at the ending sequence of the TED talk video. [46] Motion looks fairly convincing contrasted to the clunky run in the w:Animatrix: Final Flight of the Osiris which was w:state-of-the-art in 2003 if photorealism was the intention of the w:animators.
Logo of the w:The Matrix (franchise)
Traditional w:BRDF vs. subsurface scattering inclusive BSSRDF i.e. w:Bidirectional scattering-surface reflectance distribution function.

An analytical BRDF must take into account the subsurface scattering, or the end result will not pass human testing.
Music video for Bullet by w:Covenant from 2002. Here you can observe the classic "skin looks like cardboard"-bug that stopped the pre-reflectance capture era versions from passing human testing.
  • 2002 | music video | 'Bullet' by Covenant on Youtube by w:Covenant (band) from their album w:Northern Light (Covenant album). Relevancy: Contains the best upper-torso digital look-alike of Eskil Simonsson (vocalist) that their organization could procure at the time. Here you can observe the classic "skin looks like cardboard"-bug (assuming this was not intended) that thwarted efforts to make digital look-alikes that pass human testing before the reflectance capture and dissection in 1999 by w:Paul Debevec et al. at the w:University of Southern California and subsequent development of the "Analytical w:BRDF" (quote-unquote) by ESC Entertainment, a company set up for the sole purpose of making the cinematography for the 2003 films Matrix Reloaded and Matrix Revolutions possible, lead by George Borshukov.

1990's synthetic human-like fakes[edit | edit source]

Logo of the w:Institute for Creative Technologies founded in 1999 in the w:University of Southern California by the w:United States Army

1970's synthetic human-like fakes[edit | edit source]

w:A Computer Animated Hand is a 1972 short film by w:Edwin Catmull and w:Fred Parke. This was the first time that w:computer-generated imagery was used in film to animate likenesses of moving human appearance.
  • 1976 | movie | w:Futureworld reused parts of A Computer Animated Hand on the big screen.

1960's synthetic human-like fakes[edit | edit source]

1930's synthetic human-like fakes[edit | edit source]

w:Voder demonstration pavillion at the w:1939 New York World's Fair

1770's synthetic human-like fakes[edit | edit source]

A replica of w:Wolfgang von Kempelen's w:Wolfgang von Kempelen's Speaking Machine, built 2007–09 at the Department of w:Phonetics, w:Saarland University, w:Saarbrücken, Germany. This machine added models of the tongue and lips, enabling it to produce w:consonants as well as w:vowels

Footnotes[edit | edit source]

  1. ↑ It is terminologically more precise, more inclusive and more useful to talk about 'terroristic synthetic pornography', if we want to talk about things with their real names, than 'synthetic rape porn', because also synthesizing recordings of consentual looking sex scenes can be terroristic in intent.
  2. ↑ Whether a suspect can defend against faked synthetic speech that sounds like him/her depends on how up-to-date the judiciary is. If no information and instructions about digital sound-alikes have been given to the judiciary, they likely will not believe the defense of denying that the recording is of the suspect's voice.

Contact information of organizations[edit | edit source]

Please contact these organizations and tell them to work harder against the disinformation weapons

1st seen in[edit | edit source]

  1. ↑ 1.0 1.1 1.2 1.3 https://www.reddit.com/r/VocalSynthesis/
  2. ↑ 2.0 2.1 2.2 2.3 2.4 2.5 https://wordlift.io/blog/en/best-plagiarism-checkers-for-ai-generated-content/
  3. ↑ https://www.ucl.ac.uk/news/2016/aug/new-computer-programme-replicates-handwriting via Google search for "ai handwriting generator"
  4. ↑ https://seanvasquez.com/handwriting-generation redirects to Calligrapher.ai - seen in https://www.reddit.com/r/MachineLearning/comments/gh9cbg/p_generate_handwriting_with_an_inbrowser/
  5. ↑ Witness newsletter I subscribed to at https://www.witness.org/get-involved/
  6. ↑ 6.0 6.1 https://www.connectedpapers.com/main/8fc09dfcff78ac9057ff0834a83d23eb38ca198a/Transfer-Learning-from-Speaker-Verification-to-Multispeaker-TextToSpeech-Synthesis/graph
  7. ↑ https://www.technologyreview.com/2020/08/28/1007746/ai-deepfakes-memes/
  8. ↑ 'US Lawmakers: AI-Generated Fake Videos May Be a Security Threat' at uk.pcmag.com, 2018-09-13 reporting by Michael Kan
  9. ↑ PROTECTING PRESIDENT ZELENSKYY AGAINST DEEP FAKES https://arxiv.org/pdf/2206.12043.pdf


References[edit | edit source]

  1. ↑ 1.0 1.1 Boháček, Matyáš; Farid, Hany (2022-11-23). "Protecting world leaders against deep fakes using facial, gestural, and vocal mannerisms". w:Proceedings of the National Academy of Sciences of the United States of America. 119 (48). doi:10.1073/pnas.221603511. Retrieved 2023-01-05.
  2. ↑ 2.0 2.1 Bregler, Christoph; Covell, Michele; Slaney, Malcolm (1997-08-03). "Video Rewrite: Driving Visual Speech with Audio" (PDF). SIGGRAPH '97: Proceedings of the 24th annual conference on Computer graphics and interactive techniques: 353–360. doi:10.1145/258734.258880. Retrieved 2022-09-09.
  3. ↑ 3.0 3.1 "'Deepfake' scam in China fans worries over AI-driven fraud". w:Reuters.com. w:Reuters. 2023-05-22. Retrieved 2023-06-05.
  4. ↑ "You Won't Believe What Obama Says In This Video!". w:YouTube. w:BuzzFeed. 2018-04-17. Retrieved 2022-01-05. We're entering an era in which our enemies can make anyone say anything at any point in time.
  5. ↑ 5.0 5.1 Debevec, Paul (2000). "Acquiring the reflectance field of a human face". Proceedings of the 27th annual conference on Computer graphics and interactive techniques - SIGGRAPH '00. ACM. pp. 145–156. doi:10.1145/344779.344855. ISBN 978-1581132083. Retrieved 2020-06-27.
  6. ↑ 6.0 6.1 "Inventing Entertainment: The Early Motion Pictures and Sound Recordings of the Edison Companies". Memory.loc.gov. w:Library of Congress. Retrieved 2020-12-09.
  7. ↑ 7.0 7.1 Blue, Logan; Warren, Kevin; Abdullah, Hadi; Gibson, Cassidy; Vargas, Luis; O’Dell, Jessica; Butler, Kevin; Traynor, Patrick (August 2022). "Detecting deep-fake audio through vocal tract reconstruction". Proceedings of the 31st USENIX Security Symposium: 2691–2708. ISBN 978-1-939133-31-1. Retrieved 2022-10-06.
  8. ↑ 8.0 8.1 Blue, Logan; Traynor, Patrick (2022-09-20). "Deepfake audio has a tell – researchers use fluid dynamics to spot artificial imposter voices". theconversation.com. w:The Conversation (website). Retrieved 2022-10-05. By estimating the anatomy responsible for creating the observed speech, it’s possible to identify the whether the audio was generated by a person or a computer.
  9. ↑ 9.0 9.1 Drew, Harwell (2020-04-16). "An artificial-intelligence first: Voice-mimicking software reportedly used in a major theft". w:washingtonpost.com. w:Washington Post. Retrieved 2019-07-22. Researchers at the cybersecurity firm Symantec said they have found at least three cases of executives’ voices being mimicked to swindle companies. Symantec declined to name the victim companies or say whether the Euler Hermes case was one of them, but it noted that the losses in one of the cases totaled millions of dollars.
  10. ↑ 10.0 10.1 Stupp, Catherine (2019-08-30). "Fraudsters Used AI to Mimic CEO's Voice in Unusual Cybercrime Case". w:wsj.com. w:The Wall Street Journal. Retrieved 2022-01-01.
  11. ↑ 11.0 11.1 Damiani, Jesse (2019-09-03). "A Voice Deepfake Was Used To Scam A CEO Out Of $243,000". w:Forbes.com. w:Forbes. Retrieved 2022-01-01. According to a new report in The Wall Street Journal, the CEO of an unnamed UK-based energy firm believed he was on the phone with his boss, the chief executive of firm’s the German parent company, when he followed the orders to immediately transfer €220,000 (approx. $243,000) to the bank account of a Hungarian supplier. In fact, the voice belonged to a fraudster using AI voice technology to spoof the German chief executive. Rüdiger Kirsch of Euler Hermes Group SA, the firm’s insurance company, shared the information with WSJ.
  12. ↑ "Fake voices 'help cyber-crooks steal cash'". w:bbc.com. w:BBC. 2019-07-08. Retrieved 2020-07-22.
  13. ↑ Franceschi-Bicchierai, Lorenzo (2020-07-23). "Listen to This Deepfake Audio Impersonating a CEO in Brazen Fraud Attempt". w:Vice.com. w:Vice (magazine). Retrieved 2022-01-03.
  14. ↑ 14.0 14.1 14.2 14.3 https://www.forbes.com/sites/thomasbrewster/2021/10/14/huge-bank-fraud-uses-deep-fake-voice-tech-to-steal-millions/
  15. ↑ Flatow, Ira (April 4, 2008). "1860 'Phonautograph' Is Earliest Known Recording". NPR. Retrieved 2012-12-09.
  16. ↑ https://www.theverge.com/2023/2/7/23587454/microsoft-bing-edge-chatgpt-ai
  17. ↑ https://www.reddit.com/r/MachineLearning/comments/gh9cbg/p_generate_handwriting_with_an_inbrowser/
  18. ↑ "What is IWR? (Intelligent Word Recognition)". eFileCabinet. 2016-01-04. Retrieved 2021-09-21.
  19. ↑ Edwards, Benj (2023-01-10). "Microsoft's new AI can simulate anyone's voice with 3 seconds of audio". w:Arstechnica.com. Arstechnica. Retrieved 2023-05-05. For the paper's conclusion, they write: "Since VALL-E could synthesize speech that maintains speaker identity, it may carry potential risks in misuse of the model, such as spoofing voice identification or impersonating a specific speaker. To mitigate such risks, it is possible to build a detection model to discriminate whether an audio clip was synthesized by VALL-E. We will also put Microsoft AI Principles into practice when further developing the models."
  20. ↑ 20.0 20.1 20.2 20.3 20.4 20.5 20.6 20.7 Authoritative up-to-date version of the Criminal Code chapter 20 On sexual offences can always be found at finlex.fi

    Translation to English by the Ministry of Justice: Criminal Code (39/1889) - Chapter 20 - Sexual offences (translation) as .pdf at oikeusministerio.fi (subject to possible revisions)
  21. ↑ https://www.theguardian.com/world/2022/jun/25/european-leaders-deepfake-video-calls-mayor-of-kyiv-vitali-klitschko
  22. ↑ https://www.dw.com/en/vitali-klitschko-fake-tricks-berlin-mayor-in-video-call/a-62257289
  23. ↑ "DALL·E 2". OpenAI. Retrieved 2023-04-22.
  24. ↑ Boháček, Matyáš; Farid, Hany (2022-06-14). "Protecting President Zelenskyy against Deep Fakes". arXiv:2206.12043 [cs.CV].
  25. ↑ Almutairi, Zaynab; Elgibreen, Hebah (2022-05-04). "A Review of Modern Audio Deepfake Detection Methods: Challenges and Future Directions". w:Algorithms (journal). doi:https://doi.org/10.3390/a15050155 Check |doi= value (help). Retrieved 2022-10-18.
  26. ↑ Rosner, Helen (2021-07-15). "A Haunting New Documentary About Anthony Bourdain". w:The New Yorker. Retrieved 2021-08-25. Check |author-link= value (help)
  27. ↑ https://www.partnershiponai.org/aiincidentdatabase/
  28. ↑ https://www.bbc.com/news/technology-55424730
  29. ↑ Johnson, R.J. (2019-12-30). "Here Are the New California Laws Going Into Effect in 2020". KFI. iHeartMedia. Retrieved 2021-01-23.
  30. ↑ "AB 602 - California Assembly Bill 2019-2020 Regular Session - Depiction of individual using digital or electronic technology: sexually explicit material: cause of action". openstates.org. openstates.org. Retrieved 2021-03-24.
  31. ↑ Mihalcik, Carrie (2019-10-04). "California laws seek to crack down on deepfakes in politics and porn". w:cnet.com. w:CNET. Retrieved 2021-01-23.
  32. ↑ "China seeks to root out fake news and deepfakes with new online content rules". w:Reuters.com. w:Reuters. 2019-11-29. Retrieved 2021-01-23.
  33. ↑ Statt, Nick (2019-11-29). "China makes it a criminal offense to publish deepfakes or fake news without disclosure". w:The Verge. Retrieved 2021-01-23.
  34. ↑ "Relating to the creation of a criminal offense for fabricating a deceptive video with intent to influence the outcome of an election". w:Texas. 2019-06-14. Retrieved 2021-01-23. In this section, "deep fake video" means a video, created with the intent to deceive, that appears to depict a real person performing an action that did not occur in reality
  35. ↑ https://capitol.texas.gov/BillLookup/History.aspx?LegSess=86R&Bill=SB751
  36. ↑ "New state laws go into effect July 1".
  37. ↑ 37.0 37.1 "§ 18.2-386.2. Unlawful dissemination or sale of images of another; penalty". w:Virginia. Retrieved 2021-01-23.
  38. ↑ "NVIDIA Open-Sources Hyper-Realistic Face Generator StyleGAN". Medium.com. 2019-02-09. Retrieved 2020-07-13.
  39. ↑ Harwell, Drew (2018-12-30). "Fake-porn videos are being weaponized to harass and humiliate women: 'Everybody is a potential target'". w:The Washington Post. Retrieved 2020-07-13. In September [of 2018], Google added “involuntary synthetic pornographic imagery” to its ban list
  40. ↑ Kuo, Lily (2018-11-09). "World's first AI news anchor unveiled in China". Retrieved 2020-07-13.
  41. ↑ Hamilton, Isobel Asher (2018-11-09). "China created what it claims is the first AI news anchor — watch it in action here". Retrieved 2020-07-13.
  42. ↑ Suwajanakorn, Supasorn; Seitz, Steven; Kemelmacher-Shlizerman, Ira (2017), Synthesizing Obama: Learning Lip Sync from Audio, University of Washington, retrieved 2020-07-13
  43. ↑ Giardina, Carolyn (2015-03-25). "'Furious 7' and How Peter Jackson's Weta Created Digital Paul Walker". The Hollywood Reporter. Retrieved 2020-07-13.
  44. ↑ ReForm - Hollywood's Creating Digital Clones (youtube). The Creators Project. 2020-07-13.
  45. ↑ Debevec, Paul. "Digital Ira SIGGRAPH 2013 Real-Time Live". Retrieved 2017-07-13.
  46. ↑ In this TED talk video at 00:04:59 you can see two clips, one with the real Emily shot with a real camera and one with a digital look-alike of Emily, shot with a simulation of a camera - Which is which is difficult to tell. Bruce Lawmen was scanned using USC light stage 6 in still position and also recorded running there on a w:treadmill. Many, many digital look-alikes of Bruce are seen running fluently and natural looking at the ending sequence of the TED talk video.
  47. ↑ Pighin, Frédéric. "Siggraph 2005 Digital Face Cloning Course Notes" (PDF). Retrieved 2020-06-26.
  48. ↑ https://ict.usc.edu/about/
  49. ↑ "Images de synthèse : palme de la longévité pour l'ombrage de Gouraud".
  50. ↑ Mechanismus der menschlichen Sprache nebst der Beschreibung seiner sprechenden Maschine ("Mechanism of the human speech with description of its speaking machine", J. B. Degen, Wien).
  51. ↑ History and Development of Speech Synthesis, Helsinki University of Technology, Retrieved on November 4, 2006
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