AI-synthesized faces are indistinguishable from real faces and more trustworthy

Sophie J. Nightingale and Hany Farid

PNAS (Proceedings of the National Academy of Sciences)
February 22, 2022

Artificial intelligence (AI)-synthesized text, audio, image, and video are being weaponized for the purposes of nonconsensual intimate imagery, financial fraud, and disinformation campaigns. In a new paper in PNAS, BIDS Faculty Affiliate Hany Farid and colleague Sophie J. Nightingale report that their recent evaluation of the photorealism of AI-synthesized faces indicates that synthesis engines have passed through the "uncanny valley" (a term used to describe a human's emotional response of unease or revulsion& to the human-like appearance of a robotic or computer-generated object that is highly realistic) and are now capable of creating faces that are indistinguishable — and more trustworthy — than real faces.

Farid PNAS Feb 2022 - 16 faces - photo square - "A representative set of matched real and synthetic faces."
"A representative set of matched real and synthetic faces."

 

Read more...
Humans Find AI-Generated Faces More Trustworthy Than the Real Thing:br /> Viewers struggle to distinguish images of sophisticated machine-generated faces from actual humans
February 14, 2022  |  Emily Willingham  |   Scientific American



Featured Fellows

Hany Farid

EECS and School of Information, UC Berkeley
Faculty Affiliate