Using AI to detect AI-generated deepfakes can work for audio — but not always

As deepfake generation technology improves and leaves ever-fewer telltale signs that humans can rely on, computational methods for detection are becoming the norm. But technological solutions are no silver bullet for the problem of detecting AI-generated voices. (Aaron Marin for NPR)

Artificial intelligence is supercharging audio deepfakes, with alarm bells ringing in areas from politics to financial fraud.

The federal government has banned robocalls using voices generated by AI and is offering a cash prize for solutions to mitigate harms from voice cloning frauds. At the same time, researchers and the private sector are racing to develop software to detect voice clones, with companies often marketing them as fraud-detection tools.