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The trouble with deepfakes: Beyond control?
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Anita was scrolling on Twitter when she found someone had made deepfake porn of her, without her permission. But that was just the start of her problems; she found it was difficult and expensive to get the deepfakes taken down and nigh-on impossible to prevent their proliferation online. So, what guardrails can regulators and tech companies put in place to prevent the spread of deepfakes and protect those whose likeness has been stolen without their consent? Technological fixes, such as deepfake detection software and deepfake watermarking exist, but can the technology keep up with the ever-improving capacities of generative AI?
Host Hannah Murphy speaks to Hany Farid, digital forensics expert at the University of California, Berkeley; Nina Schick, CEO and founder of Tamang Ventures, author and Qlik AI Council member; and Sweet Anita, Twitch streamer.
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Want more?
Google upgrades search in drive to tackle deepfake porn
India tells tech giants to police deepfakes under ‘explicit’ rules
Political deepfakes top list of malicious AI use, DeepMind finds
Clips: sweet_anita Twitch
Since publication, Mastercard, one of the companies mentioned in this episode, sent the following response: 'Purchases of nonconsensual deepfake content are not allowed on our network. When we see or are made aware of specific instances of such activity, we investigate the allegations and take action to ensure compliance with both local laws and our rules and standards.'
This series of Tech Tonic is presented by Hannah Murphy. The producer is Persis Love. The senior producer is Edwin Lane. Our 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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