DIY Facial Recognition For Porn Is a Dystopian Disaster

An anonymous reader quotes a report from Vice News: Someone posting on Chinese social network Weibo claims to have used facial recognition to cross-reference women’s photos on social media with faces pulled from videos on adult platforms like Pornhub. In a Monday post on Weibo, the user, who says he’s based in Germany, claimed to have “successfully identified more than 100,000 young ladies” in the adult industry “on a global scale.” According to Weibo posts, the user and some of his programming friends used facial recognition to detect faces in porn content using photos from social platforms. His reasoning for making this program, he wrote, is “to have the right to know on both sides of the marriage.” After public outcry, he later claimed his intention was to allow women, with or without their fiancees, to check if they are on porn sites and to send a copyright takedown request.

Whether the Weibo user’s claims are trustworthy or not is beside the point, now that experts in feminist studies and machine learning have decried this project as algorithmically-targeted harassment. This kind of program’s existence is both possible and frightening, and has started a conversation around whether such a program would be an ethically or legally responsible use of AI. Just as we saw with deepfakes, which used AI to swap the faces of female celebrities onto the bodies of porn performers, the use of machine learning to control and extort women’s bodily autonomy demonstrates deep misogyny. It’s a threat that didn’t begin with deepfakes, but certainly reached a public sphere with that technology — although in the years since, women have been left behind in the mainstream narrative, which has focused on the technology’s possible use for disinformation.

Source link

قالب وردپرس