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Unsolicited nudes detected and deleted by AI
Software that can detect and delete unsolicited penis pictures sent via private messages on Twitter is being developed by researchers in Seattle. The project was started after developer Kelsey Bressler was sent an unsolicited nude photo by a man. She is now helping a friend refine an artificial intelligence system that can detect the unwanted penis pictures and delete them before they are ever seen.
She said social networks could do more to protect users from cyber-flashing. "When you receive a photo unsolicited it feels disrespectful and violating," Ms Bressler told the BBC. "It's the virtual equivalent of flashing someone in the street. You're not giving them a chance to consent, you are forcing the image on them, and that is never OK."
To test and train the artificial intelligence system, Ms Bressler and her team set up a Twitter inbox where men were invited to "send nudes for science". So many volunteered their nude photos that the team has had to close the inbox.
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(Score: 2) by takyon on Sunday September 08 2019, @04:53PM (1 child)
Facebook and other social media sites have been working with nudity detection for years.
https://venturebeat.com/2018/10/24/facebook-used-ai-to-remove-8-7-million-images-of-child-nudity-last-quarter/ [venturebeat.com]
Detecting that an image contains nudity or a penis is an easier problem than identifying a specific person in an image, or detecting jaywalkers in real time so you don't run them over.
Applied to the scale of one person instead of an entire social media network, the user probably doesn't care if a false positive or two are blocked, and could manually override the block.
That exists. See YouTube's Content ID. That is infamous for detecting copyrighted music and automatically siphoning off ad revenue to license holders. But it can also be used to detect reused clips, even taking into account transformations of the content.
Nothing that Kelsey Bressler does here will change the fact that these algorithms and the hardware running them are continuing to improve. There is extreme interest among copyright holders to get these technologies working smoothly. They are being used to detect illegal content. Machine learning and recognition algorithms are regarded as necessary to YouTube's survival. Without them, advertisers will continually flee the website whenever the Wall Street Journal hypes up ads appearing on racist or sexual videos.
[SIG] 10/28/2017: Soylent Upgrade v14 [soylentnews.org]
(Score: 0) by Anonymous Coward on Monday September 09 2019, @04:23AM
It's also infamous for being abysmal and completely ignoring fair use.
Absolutely. And it doesn't matter how poorly the algorithms work or how many innocent people are caught in the crossfire; the appearance of doing something, anything, is what is important. The journalists are utterly inept (or malicious) to suggest that Youtube and other sites can create a magical algorithm to detect Bad Content and make it all go away.