Why audio deepfakes are so hard to spot
Voice cloning is the use of artificial intelligence to generate a clone of a real person’s voice, imitating the sound, when they pause and what words they typically emphasize. And it can be hard for people to identify voices as being AI-generated.
Research last year from UC Berkeley professor Hany Farid, an expert in digital forensics, found that people correctly identify a voice as AI-generated only 60% of the time.
Marketplace’s Stephanie Hughes spoke with Farid about the rapid sophistication of audio deepfakes, why it's so hard to tell the difference between a real voice and an AI-generated one right now, and some tips to help you spot voice clones.
Elon’s “Nudify” Mess: How X Supercharged Deepfakes
On Christmas Eve, Elon Musk’s X rolled out an in-app tool that lets users alter other people’s photos and post the results directly in reply. With minimal safeguards, it quickly became a pipeline for sexualized, non-consensual deepfakes, including imagery involving minors, delivered straight into victims’ notifications.
Renée DiResta, Hany Farid, and Casey Newton join Kara to dig into the scale of the harm, the failure of app stores and regulators to act quickly, and why the “free speech” rhetoric used to defend the abuse is incoherent. Kara explores what accountability could look like — and what comes next as AI tools get more powerful.
Renée DiResta is the former technical research manager at Stanford's Internet Observatory. She researched online CSAM for years and is one of the world’s leading experts on online disinformation and propaganda. She’s also the author of Invisible Rulers: The People Who Turn Lies into Reality.
Hany Farid is a professor of computer sciences and engineering at the University of California, Berkeley. He’s been described as the father of digital image forensics and has spent years developing tools to combat CSAM.
Casey Newton is the founder of the tech newsletter Platformer and the co-host of The New York Times podcast Hard Fork.
This episode was recorded on Tuesday, January 20th.
When reached for comment, a spokesperson for X referred us to a a statement post on X, which reads in part:
We remain committed to making X a safe platform for everyone and continue to have zero tolerance for any forms of child sexual exploitation, non-consensual nudity, and unwanted sexual content.
We take action to remove high-priority violative content, including Child Sexual Abuse Material (CSAM) and non-consensual nudity, taking appropriate action against accounts that violate our X Rules. We also report accounts seeking Child Sexual Exploitation materials to law enforcement authorities as necessary.
Questions? Comments? Email us at on@voxmedia.com or find us on YouTube, Instagram, TikTok, Threads, and Bluesky @onwithkaraswisher.
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Beyond the Talk: Hany Farid on trust in the age of AI
“ How do you trust anything anymore? Who do you trust? Where do you trust?” asks technologist and digital forensic expert Hany Farid. Following his talk at TED2025, Farid sat down for a special conversation with Elise Hu, host of TED Talks Daily, to discuss the erosion of trust in American society. From TikTok algorithms to AI deepfakes, Farid argues that critical thinking education is more important than ever and why it’s therapeutic to unplug from social media and connect with nature.
Hosted on Acast. See acast.com/privacy for more information.
How to spot fake AI photos | Hany Farid
How do you know if that shocking photo in your feed is real, or just another AI fake? Digital forensics expert Hany Farid explains how he helps journalists, courts and governments find structural errors in AI-generated images, offering four practical tips everyday individuals can use when facing the internet’s war on reality.
Hosted on Acast. See acast.com/privacy for more information.
The Story: Liar, Liar, Deepfakes on Fire w/ Hany Farid
Hany Farid is a professor of electrical engineering and computer sciences at the University of California, Berkeley. He's been a leading voice on digital forensics for over two decades—pioneering ways to identify if an image, audio or video has been digitally altered. Since the rise of social media, Farid has kept busy helping news organizations, government agencies and law enforcement determine what is real and what is fake online. Farid sits down with Oz to talk about his initial interest in digital forensics, the effects of misinformation on society, and whether he wants an AI likeness of himself to live on after he dies.
See omnystudio.com/listener for privacy information.
Will Killing Section 230 Kill the Internet?
As Justice Kagan has asked, “Every other industry has to internalize the costs of its conduct. Why is it that the tech industry gets a pass?” Yet she and the other 8 Supreme Court Justices seemed wary this week as they heard oral arguments in two cases that could upend the Section 230 immunity that social media companies enjoy, Gonzalez v. Google and Twitter v. Taamneh. Today, we hear from three experts: Stanford Law professor Evelyn Douek, National Constitution Center President and CEO Jeffrey Rosen and UC Berkeley computer science professor Hany Farid. Up for discussion — what’s at stake in these two cases, which way the wind seems to be blowing and, of course, will killing Section 230 kill the internet?
Questions? Comments? Email us on@voxmedia.com or find us on Twitter @karaswisher and @nayeema
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