Navigating the Ethics and Implications of Deepfake Technology

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This chapter delves into the complex ethical questions surrounding the accessibility of deepfake technology, citing instances of misuse and discussing the need for regulation to prevent privacy violations and misinformation. It emphasizes the importance of detection strategies, consequences for malicious use, and the challenges of regulating evolving deepfake technology. The conversation also explores the implications of deepfakes on businesses, ethical considerations around AI-generated content, and the importance of safeguards against misuse in the realm of generative AI.

A deepfake is a synthetic media technique that uses deep learning to create or manipulate video, audio, or images to present something that didn’t actually occur. Deepfakes have gained attention in part due to their potential for misuse, such as creating forged videos for political manipulation or spreading misinformation.

Ryan Ofman is a Lead Engineer and Head of Science Communication at DeepMedia, which is a platform for AI-powered deepfake detection. He joins the show to talk about the state of deepfakes, their origin, and how to detect them.

Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from information visualization to quantum computing. Currently, Sean is Head of Marketing and Developer Relations at Skyflow and host of the podcast Partially Redacted, a podcast about privacy and security engineering. You can connect with Sean on Twitter @seanfalconer .