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.
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.
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About Gary Price
Gary Price (gprice@gmail.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com.