maio23
Some viral TikTok videos may soon show a new type of label: that it’s made by AI.
The ByteDance-owned app is developing a tool for content creators to disclose they used generative artificial intelligence in making their videos, according to a person with direct knowledge of the efforts. The move comes as people increasingly turn to AI-generated videos for creative expression, which has sparked copyright battles as well as concerns about misinformation.
https://www.theinformation.com/articles/tiktok-is-developing-ai-generated-video-disclosures-as-deepfakes-rise
dez22
A small academic and corporate team of researchers say they have created a way to preserve the biometric privacy of people whose faces are posted on social media.
And while that innovation is worthy of examination, so is a couple phrases that the team has developed for their facial anonymization: “a responsible use for deepfakes by design” and “My Face, My Choice.”
For most people, deepfakes exist because humans like to be fooled. For the rest, they exist to dominate a future when objective proof or truth no longer exist.
Two scientists from State University of New York, Binghamton, and another from Intel Labs say in a non-peer-reviewed paper that they recognize the identity and privacy dangers posed by face image scrapers like Clearview AI that harvest billions of faces for their own purposes and without permission.
The answer, they say, is qualitatively dissimilar deepfakes. That is, using deepfake algorithms to alter faces just enough that the faces cannot be facially recognized by software. The result is a facial image in a group photo that is true enough to the original (and free of AI weirdness) that anyone familiar with a person would quickly accept it as representative.
The researchers also have proposed metrics for doing this under which a deepfake (though, again, still recognizable by many humans) is randomly generated with a guaranteed dissimilarity.
https://www.biometricupdate.com/202212/a-proposal-for-responsible-deepfakes
