Join the Cyber Policy Center on Tuesday, February 27th from 12 Noon–1 PM Pacific, for Addressing Computer-Generated Child Sex Abuse Imagery, with Riana Pfefferkorn, Research Scholar at the Stanford Internet Observatory. The session will be moderated by Nate Persily, co director of the Stanford Cyber Policy Center, and is part of the Winter Seminar Series, a series spanning January through March hosted at the Cyber Policy Center.
Last year saw significant technical advances in generative machine learning (ML). When trained on sexually explicit imagery, ML models can generate new realistic-looking explicit content. ML models are now being used to create highly realistic child sex abuse material (CSAM). It will soon be feasible to generate images that are indistinguishable from photographic images of real children. Computer-generated CSAM made with generative ML (CG-CSAM) will have major implications for the U.S. legal regime governing child sex abuse imagery. This talk reviews current law, discusses CG-CSAM’s constitutional and policy implications, and suggests some potential responses.
