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Creepy programmer builds AI algorithm to ‘expose’ adult actresses
Yesterday, Yiqin Fu, a research associate at Yale University, tweeted a thread about a Chinese programmer who had claimed he had built an algorithm that had identified 100,000 adult actresses by cross-referencing footage from porn videos with social media profile pictures. Using this tool, they hope to help others check whether their girlfriends have ever acted in pornographic films.
昨天（距今二十多天前）Yiqin Fu这位耶鲁年夜学的助理研究员发布了这样一条推特，一位中公轨范员传布鼓吹成立了一个算法，即依靠来自成 人视频和社交媒体小我资料照片交叉引用来识别10万名成 人片女演员。他们但愿依靠该工具能辅佐其他人来检测他们的女友是否参演过小片子。
On the thread, Fu noted that the most up-voted comment asked if the OP plans on identifying the men in porn videos to which he replied how he’s open to the idea. But for legal reasons, he said he may have to “anonymize the data” before letting people query the database.
This isn’t the first time someone has used AI to identify faces in porn. In 2017, P-o=r+n-h+u=b announced that it was using machine learning and facial recognition to detect over 10,000 porn stars across the site in an effort to make it easier for users to find content they like. At the time, Motherboard argued the development was a privacy nightmare waiting to happen.
While this technology has the potential to find victims of human trafficking or other forms of sexual exploitations, that’s not the intent here. Rather, it’s a weapon for shaming women and stripping them of their privacy. One user on Fu’s thread tweeted how it won’t be long until people abuse this service to find porn stars that look similar to people they know in real life. That, combined with the sophistication of AI-generated ‘deepfake’ videos, proves the future is truly a horrific place to be a woman.