HLS Beyond and BKC present: Evidence-Based AI Policy

In this third and final session of the TechReg in AI series with Professor Alan Raul (see February 19th and March 12th events), we consider what constitutes an “AI incident” for policy and governance purposes. Who is monitoring and reporting them? How does the “incident” concept account for AI systems performing as intended versus those that are malfunctioning, maliciously compromised, or acting in novel or unexpected manners? And how are “big” societal, or systemic, risks characterized and tracked differently from individual-level risks? Sara Rendtorff-Smith, from the Organization for Economic Cooperation and Development (OECD), will join our session to discuss how her team conceives of and operates the OECD’s AI risk monitor. (Read more at https://oecd.ai/en/incidents).

Come join the discussion and help us explore today’s incident-monitoring ecosystem! We’ll discuss relevant challenges such as underreporting, ambiguous or conflicting definitions, and how to correlate scattered, anecdotal events into meaningful evidence for policymakers, risk management and harm prevention.  Registration Required. Lunch will be provided.