Cedric Whitney is an AI Policy Fellow at the Center for Long-Term Cybersecurity and a PhD Student at UC Berkeley’s School of Information. He’s an NSF Graduate Fellow, utilising mixed methods to answer technical and policy questions regarding AI Governance. His current work focuses on algorithmic destruction as policy and questions of when, where and how AI systems are deleted and retrained. This includes investigating concepts such as machine unlearning, synthetic data, and LLM source attribution. With a background in machine learning ops and data partnerships at unicorn healthcare start-up Owkin, graduate internship stints at the Federal Trade Commission and IBM’s AI Research team, and prior research on counter data and participatory design, Cedric sits at the intersection of policy and its technical implementation.
Contributions by Cedric Whitney
America's Next "Stop Model!": Model Disgorgement & Destruction
Speaker at AI Governance Global 2023, an IAPP event