Adequate Porn Watcher AI (concept)
Adequate Porn Watcher AI (APW_AI) is an w:AI and w:computer vision concept to search for any and all porn that should not be by watching and modeling all porn ever found on the w:Internet thus effectively protecting humans by exposing covert naked digital look-alike attacks and also other contraband.
The method and the effect
The method by which APW_AI would be providing safety and security to its users, is that they can briefly upload a model they've gotten of themselves and then the APW_AI will either say nothing matching found or it will be of the opinion that something matching found.
If people are able to check whether there is synthetic porn that looks like themselves, this causes synthetic hate-illustration industrialists' product lose destructive potential and the attacks that happen are less destructive as they are exposed by the APW_AI and thus decimate the monetary value of these disinformation weapons to the criminals.
If you feel comfortable to leave your model with the good people at the benefactor for safekeeping you get alerted and help if you ever get attacked with a synthetic porn attack.
Rules
Looking up if matches are found for anyone else's model is forbidden and this should probably be enforced with a facial w:biometric w:facial recognition system app that checks that the model you want checked is yours and that you are awake.
Definition of adequacy
An adequate implementation should be nearly free of false positives, very good at finding true positives and able to process more porn than is ever uploaded.
What about the people in the porn-industry?
People who openly do porn can help by opting-in to help in the development by providing training material and material to test the AI on. People and companies who help in training the AI naturally get credited for their help.
There are of course lots of people-questions to this and those questions need to be identified by professionals of psychology and social sciences.
History
The idea of APW_AI occurred to User:Juho Kunsola on Friday 2019-07-12. Subsequently (the next day) this discovery caused the scrapping of the plea to ban convert modeling of human appearance as that would have rendered APW_AI legally impossible.
Countermeasures elsewhere
Partial transclusions from Synthetic human-like fakes below
Links regarding pornography
- w:Pornography laws by region
- w:Internet pornography
- w:Legal status of Internet pornography
- w:Sex and the law
Against pornography
- Reasons for w:opposition to pornography include religious objections, feminist concerns, and claims of harmful effects, such as w:pornography addiction. (Wikipedia as of 2020-09-19)
- w:Content-control software (Internet filter), a common approach to parental control
- w:Accountability software
Categories
Traditional porn-blocking
Traditional porn-blocking done by some countries seems to use DNS to deny access to porn sites by checking if the domain name matches an item in a porn sites database and if it is there then it returns an unroutable address, usually w:0.0.0.0.
- Topic "porn-block" on github.com (6 repositories as of 2020-09)[1st seen in 1]
- Topic "pornblocker" on github.com (12 repositories as of 2020-09)[1st seen in 2]
- Topic "porn-filter" on github.com (34 repositories as of 2020-09)[1st seen in 3]
Curated lists and databases
- 'Awesome-Adult-Filtering-Accountability' a list curated by wesinator at github.com - a list of tools and resources for adult content/porn accountability and filtering[1st seen in 1]
- 'Pornhosts' at github.com is a hosts-file formatted file of the w:Response policy zone (RPZ) zone file. It states itself as " a consolidated anti porn hosts file" and states is mission as "an endeavour to find all porn domains and compile them into a single hosts to allow for easy blocking of porn on your local machine or on a network."[1st seen in 1]
Software for nudity detection
- 'PornDetector' by github user bakwc consists of two python porn images (nudity) detectors at github.com and are both written in w:Python (programming language)[1st seen in 3]. pcr.py uses w:scikit-learn and the OpenCV Open Source Computer Vision Library, whereas nnpcr.py uses w:TensorFlow and reaches a higher accuracy.
- 'Laravel 7 Google Vision restringe pornografia detector de faces' porn restriction app in Portuguese at github.com that utilizes Google Vision API to help site maintainers stop users from uploading porn has been written for the for MiniBlog w:Laravel blog app.
See also
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Biblical explanation - The books of Daniel and Revelation, wherein Daniel 7 and Revelation 13 we are warned of this age of industrial filth. In Revelation 19:20 it says that the beast is taken prisoner, can we achieve this without 'APW_AI? |
References
1st seen in
- ↑ 1.0 1.1 1.2 Seen first in https://github.com/topics/porn-block. Unknown where originally saw this first.
- ↑ Seen first in https://github.com/topics/pornblocker Unknown where originally saw this first.
- ↑ 3.0 3.1 Seen first in https://github.com/topics/porn-filter Unknown where originally saw this first.