https://www.buffalo.edu/ubnow/stories/2024/01/lyu-deepfake-bias.html By TOM DINKI Published January 18, 2024 Share This Print “A detection algorithm’s accuracy should be statistically independent from factors like race, but obviously many existing algorithms, including our own, inherit a bias. ” Siwei Lyu, SUNY Empire Professor and co-director UB Center for Information Integrity The image spoke for itself. UB computer scientist and deepfake expert Siwei Lyu created a photo collage out of the hundreds of faces that his detection algorithms had incorrectly classified as fake — and the new composition clearly had a predominantly darker skin tone. “A detection algorithm’s accuracy should be statistically independent from factors like race,” Lyu says, “but obviously many existing algorithms, including our own, inherit a bias.” Lyu, co-director of the UB Center for Information Integrity, and his team have now developed what they believe are the ...