May 16, 2022

Report: “AI-Synthesized Faces Are Indistinguishable From Real Faces and More Trustworthy”

From VICE:

In a study published Tuesday in the peer-reviewed journal PNAS, researchers Sophie J. Nightingale at Lancaster University in the UK and Hany Farid at University of California, Berkeley, conducted three experiments to determine if, and how, people differentiated real faces from algorithmically-generated ones, also known as deepfakes.

“Our evaluation of the photorealism of AI-synthesized faces indicates that synthesis engines have passed through the uncanny valley and are capable of creating faces that are indistinguishable—and more trustworthy—than real faces,” Farid and Nightingale wrote. 

Learn More, Read the Complete Article

The full text of the research article discussed in the Vice is also available.

See: AI-Synthesized Faces Are Indistinguishable From Real Faces and More Trustworthy (via Proceedings of the National Academy of Sciences of the United States of America)

Here’s the Abstract:

Artificial intelligence (AI)–synthesized text, audio, image, and video are being weaponized for the purposes of nonconsensual intimate imagery, financial fraud, and disinformation campaigns. Our evaluation of the photorealism of AI-synthesized faces indicates that synthesis engines have passed through the uncanny valley and are capable of creating faces that are indistinguishable—and more trustworthy—than real faces.

About Gary Price

Gary Price (gprice@mediasourceinc.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. Before launching INFOdocket, Price and Shirl Kennedy were the founders and senior editors at ResourceShelf and DocuTicker for 10 years. From 2006-2009 he was Director of Online Information Services at Ask.com, and is currently a contributing editor at Search Engine Land.

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