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Years before deepfakes hit the mainstream, Akis Papadopoulos was already sounding the alarm. From early GAN breakthroughs to today’s ultra-realistic, low-res media threats, he’s led research at the intersection of AI, media forensics, and public trust. In this episode, he explores why detection alone isn’t enough—and how explainability, user experience, and civic responsibility must shape our response to synthetic media.
By Michael Matias5
1111 ratings
Years before deepfakes hit the mainstream, Akis Papadopoulos was already sounding the alarm. From early GAN breakthroughs to today’s ultra-realistic, low-res media threats, he’s led research at the intersection of AI, media forensics, and public trust. In this episode, he explores why detection alone isn’t enough—and how explainability, user experience, and civic responsibility must shape our response to synthetic media.

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