Implications of Computer-Generated CSAM

One of the dark sides of the rapid development of artificial intelligence and machine learning is the increase in computer-generated child pornography and other child sexual abuse material, or CG-CSAM for short. This material threatens to overwhelm the attempts of online platforms to filter for harmful content—and of prosecutors to bring those who create and disseminate CG-CSAM to justice. But it also raises complex statutory and constitutional legal issues as to what types of CG-CSAM are, and are not, legal.

To explore these issues, Associate Professor of Law at the University of Minnesota and Lawfare Senior Editor Alan Rozenshtein spoke with Riana Pfefferkorn, a Research Scholar at the Stanford Internet Observatory, who has just published a new white paper in Lawfare's ongoing Digital Social Contract paper series exploring the legal and policy implications of CG-CSAM. Joining in the discussion was her colleague David Thiel, Stanford Internet Observatory's Chief Technologist, and a co-author of an important technical analysis of the recent increase in CG-CSAM.

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