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In a brand new two-part series from Tech Tonic, the Financial Times' award-winning technology podcast, Hannah Murphy, the FT's technology reporter in San Francisco, examines the proliferation of deep fakes online and what's being done about it. You can take heed to each episodes below.
A brand new generation of pretend images, videos and audio clips generated by the most recent artificial intelligence is spreading across the web. It's content that anyone with a web connection can create, and a few of these deepfakes are actually so convincing that even experts have trouble distinguishing between the true and the fake.
What safeguards can regulators and technology corporations put in place to forestall the spread of deepfakes and protect those whose image has been stolen without their consent? While technological solutions resembling deepfake detection software and deepfake watermarking exist, can technology keep pace with the ever-improving capabilities of generative AI?
Listen to the series below or subscribe and keep listening: Apple Podcasts, Spotify, Pocket prints or wherever you take heed to podcasts.
The problem with deepfakes – take heed to the series
Part 1 – Liar Dividend
Part 2 – Out of control?
Hannah Murphy is a tech reporter on the Financial Times covering meta, Twitter, TikTok and YouTube. She relies in San Francisco. She also covers crypto – particularly the intersection of fintech and social media – and cybersecurity.
As well as writing for newspapers and magazines, Hannah often hosts panels for FT Live and at other conferences and C-suite events. She has also appeared in live broadcasts and documentaries on national broadcasters resembling the BBC and Channel 4.
Before moving to California, she covered financial services, including online trading, stockbroking and market structure, within the FT's London bureau and was a knowledge journalist on this planet news desk. She won the 2018 MHP 30 under 30 To Watch: Young Journalists of the 12 months award.
