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The trouble with deepfakes: Liar’s dividend
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Innhold levert av Saragosa Manuela and Financial Times. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Saragosa Manuela and Financial Times eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
A new breed of AI generated fake pictures, videos and audio clips is spreading across the internet - content anyone with an internet connection can generate. And some of these deepfakes are now so convincing that even experts struggle to tell the difference between what’s real and what has been created using artificial intelligence. In a new series, Hannah Murphy, the FT’s tech reporter in San Francisco, examines the potential of deepfakes to cause chaos and asks how worried we should be and what’s being done to combat their proliferation.
In the first of this two-part series she hears from Kimberly Ton Mai, AI researcher at University College, London; Hany Farid, digital forensics expert at the University of California, Berkeley; and Paul Carpenter, magician and hypnotist.
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Want more?
Audio deepfakes emerge as weapon of choice in election disinformation
The rising threat to democracy of AI-powered disinformation
The FT View: Deepfakes and disinformation
The danger of deepfakes is not what you think
Clips: Fox News, AP, @mentallyhyp TikTok, The Telegraph, The Guardian, France 24 English, Sky News
This series of Tech Tonic is presented by Hannah Murphy. The producer is Persis Love. The senior producer is Edwin Lane. Executive producer Manuela Saragosa. Additional production help from Josh Gabert-Doyon. Sound design by Breen Turner and Samantha Giovinco. Original music by Metaphor Music. The FT’s head of audio is Cheryl Brumley.
Read a transcript of this episode on FT.com
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