Why AI Keeps Getting Better at Making Fake Images

Published: Jan. 19, 2024, 11 a.m.

Fake images are already turning heads online, and Hany Farid, a professor of computer science at the University of California, Berkeley, says we\u2019re only going to see more of it. Farid specializes in image analysis and digital forensics. He tells WSJ\u2019s Alex Ossola why it\u2019s so easy to use generative AI to create convincing fake images, and why it could cause problems in the future. Plus, he discusses the potential tech solutions that will help us decipher whether an image or video we\u2019re seeing online is too good to be true.\xa0\n\n\n\nWhat do you think about the show? Let us know on Apple Podcasts or Spotify, or email us: FOEPodcast@wsj.com\xa0\n\n\n\nFurther reading:\xa0\n\nReal or AI? The Tech Giants Racing to Stop the Spread of Fake Images\xa0\n\nReality Is Broken. We Have AI Photos to Blame.\xa0\n\nA New Way to\u200b Tell Deepfakes From Real Photos: Can It Work?\xa0\n\nAI-Created Images Are So Good Even AI Has Trouble Spotting Some\xa0\n\nSharing Fake Nude Images Could Become a Federal Crime Under Proposed Law\xa0\n\nLearn more about your ad choices. Visit megaphone.fm/adchoices