Demographic-agnostic tool for deepfake detection shows promise

A group of U.S. researchers say they have created the first deepfake detection algorithms successfully designed to be less biased.

The team tested their idea on a well-known algorithm and dataset and report overall detection accuracy from 91.49 percent to 94.17 percent. Citing separate algorithm research, they said a 10.7 percent difference has been found in deepfake detection error rates between races.

The scientists work at the University of Buffalo, Indiana University-Purdue University and Carnegie Mellon University.

UB researcher Yan …

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