Organizations, studies and events against synthetic human-like fakes: Difference between revisions

* <section begin=incidentdatabase.ai />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><section end=incidentdatabase.ai />

</ref> was founded by Charlie Pownall. The [https://www.aiaaic.org/aiaaic-repository '''AIAAIC repository''' at aiaaic.org] contains tons of reporting on different problematic uses of AI.<section end=AIAAIC.org /> The domain name aiaaic.org was registered on Tuesday 2021-02-23.<ref>whois aiaaic.org</ref>. The AIAAIC repository is a free, open resource which anyone can use, copy redistribute and adapt under the terms of its [https://creativecommons.org/licenses/by/4.0/ CC BY 4.0 license].<ref>https://charliepownall.com/ai-algorithimic-incident-controversy-database/</ref>  

<section begin=cybercivilrights.org />* [https://cybercivilrights.org/ '''Cyber Civil Rights Initiative''' at cybercivilrights.org], a US-based NGO.<ref group="contact" name="CCRI">

Contact '''Cyber Civil Rights Initiative''' at cybercivilrights.org

* https://www.facebook.com/CyberCivilRightsInitiative

* [https://www.partnershiponai.org/ '''Partnership on AI''' at partnershiponai.org] ([https://www.partnershiponai.org/contact/ contact form])<ref group="contact">

** [https://lab.witness.org/projects/osint-digital-forensics/ '''Open-source intelligence digital forensics''' - ''How do we work together to detect AI-manipulated media?'' at lab.witness.org]. "''In February '''2019''' WITNESS in association with [[w:George Washington University]] brought together a group of leading researchers in [[Glossary#Media forensics|media forensics]] and [[w:detection]] of [[w:deepfakes]] and other [[w:media manipulation]] with leading experts in social newsgathering, [[w:User-generated content]] and [[w:open-source intelligence]] ([[w:OSINT]]) verification and [[w:fact-checking]].''" (website)

** [https://lab.witness.org/projects/synthetic-media-and-deep-fakes/ '''Prepare, Don’t Panic: Synthetic Media and Deepfakes''' at lab.witness.org] is a summary page for WITNESS Media Lab's ongoing work against synthetic human-like fakes. Their work was launched in '''2018''' with the first multi-disciplinary convening around deepfakes preparedness which lead to the writing of the [http://witness.mediafire.com/file/q5juw7dc3a2w8p7/Deepfakes_Final.pdf/file  '''report''' “'''Mal-uses of AI-generated Synthetic Media and Deepfakes: Pragmatic Solutions Discovery Convening'''”] (dated 2018-06-11). [https://blog.witness.org/2018/07/deepfakes/ '''''Deepfakes and Synthetic Media: What should we fear? What can we do?''''' at blog.witness.org]

* [https://www.realitydefender.ai/ '''Reality Defender''' at realitydefender.ai] - ''Enterprise-Grade Deepfake Detection Platform'' for many stakeholders

</ref> [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'''.

[[File:DARPA_Logo.jpg|thumb|right|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.]]

* Phone 1-864-656-3311

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">

</ref>

* [https://www.montrealdeclaration-responsibleai.com/ '''The Montréal Declaration for a Responsible Development of Artificial Intelligence''' at montrealdeclaration-responsibleai.com]<ref group="contact">

* [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"/>

* '''2020 - ONGOING''' | '''[[w:National Institute of Standards and Technology]]''' ('''NIST''') ([https://www.nist.gov/ nist.gov]) ([https://www.nist.gov/about-nist/contact-us contacting NIST]) | Open Media Forensics Challenge presented in [https://www.nist.gov/itl/iad/mig/open-media-forensics-challenge '''Open Media Forensics Challenge''' at nist.gov] and [https://mfc.nist.gov/ '''Open Media Forensics Challenge''' ('''OpenMFC''') at mfc.nist.gov]<ref group="contact">

</ref> - ''Open Media Forensics Challenge Evaluation (OpenMFC) is an open evaluation series organized by the NIST to assess and measure the capability of media forensic algorithms and systems.''<ref>https://www.nist.gov/itl/iad/mig/open-media-forensics-challenge</ref>

* '''2021''' | '''[[w:Conference on Computer Vision and Pattern Recognition]] (CVPR)''' 2021 [https://cvpr2021.thecvf.com/ '''CVPR 2021''' at cvpr2021.thecvf.com]

* '''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>

* '''2019''' | At the annual Finnish [[w:Ministry of Defence (Finland)|w:Ministry of Defence]]'s  '''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.

* '''2016''' | '''Nimble Challenge 2016''' - NIST released the Nimble Challenge’16 (NC2016) dataset as the MFC program kickoff dataset, (where NC is the former name of MFC). <ref>https://www.nist.gov/itl/iad/mig/open-media-forensics-challenge</ref>

== Footnotes ==

== 1st seen in ==

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== References ==

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