Prediction, Automation, and Decision-Making with AI: Risks and Opportunities

Launching January 2026

Offered in partnership with the Center for Information Technology Policy at Princeton University, this three-part series supports public sector professionals who are responsible for evaluating, procuring, governing, or overseeing AI-enabled systems in government.

From document processing to demand forecasting, governments are adopting automated and predictive systems to streamline internal operations and support decisionmaking. But these tools vary widely in reliability, risk, and fit for purpose. This series offers a clear, practical guide for public professionals to explore together how to determine when new forms of automation, analysis and prediction work and when they don’t and how to tell the difference.

Through real case studies and hands-on frameworks, participants will learn how automation and prediction actually work in government, where they succeed, where they fail, how to evaluate vendor claims, and how jurisdictions around the world are writing rules to govern these systems responsibly.

By the end of the series, participants will be able to distinguish among different types of AI tools, assess risks and benefits, understand global regulatory trends, and design oversight mechanisms that keep human judgment and accountability at the center.