Why AI Keeps Getting Better at Making Fake Images

Fake images are already turning heads online, and Hany Farid, a professor of computer science at the University of California, Berkeley, says we’re only going to see more of it. Farid specializes in image analysis and digital forensics. He tells WSJ’s Alex Ossola why it’s 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’re seeing online is too good to be true. What do you think about the show? Let us know on Apple Podcasts or Spotify, or email us: FOEPodcast@wsj.com Further reading: Real or AI? The Tech Giants Racing to Stop the Spread of Fake Images Reality Is Broken. We Have AI Photos to Blame. A New Way to​ Tell Deepfakes From Real Photos: Can It Work? AI-Created Images Are So Good Even AI Has Trouble Spotting Some Sharing Fake Nude Images Could Become a Federal Crime Under Proposed Law Learn more about your ad choices. Visit megaphone.fm/adchoices