This podcast episode discusses the growing threat of deepfakes and the advances in generative AI that make it easier to create and dismiss fake reality. It highlights the harm caused by deepfakes, particularly to women and girls, and the impact on human rights and news anchors. The chapter emphasizes the challenges in differentiating true from false, even for experts, and the need for collective efforts in maintaining a baseline of trustworthy information and not succumbing to fear and confusion. It also emphasizes the importance of robust foundations in deepfake detection, accessibility of detection tools, content provenance, and transparency in AI-infused media.
Takeaways
• Deepfakes pose a growing threat and can harm individuals, particularly women and girls, as well as impact human rights and news anchors.
• Differentiating between true and false deepfakes is challenging, even for experts.
• Maintaining a baseline of trustworthy information and avoiding fear and confusion is crucial in the face of deepfakes.
• Robust foundations in deepfake detection and accessibility of detection tools are necessary to effectively combat deepfakes.
• Content provenance and transparency, achieved through measures like cryptographically signed metadata and invisible watermarking, are crucial in AI-infused media.
• Establishing a framework that promotes transparency and responsibility in AI-infused media making is important to prevent the faking and dismissal of reality.
