Artificial Intelligence

Prediction Isn't Judgment: What Predictive AI Can—and Cannot—Do

Led by: Aleksandra Korolova & Manoel Horta Ribeiro

Predictive systems are increasingly used to forecast risks, identify priorities, allocate resources, and support public-sector decision-making. But prediction is not the same as judgment. This session explores how predictive AI works, what different kinds of predictive systems actually predict, and where prediction can improve government performance. Participants will learn how to distinguish between problems that are well-suited to predictive approaches and those that require other forms of analysis, expertise, or public deliberation.

This workshop is part of an InnovateUS Series called : The Good, the Bad and the Ugly of Predictive AI
Click here to view all workshops from this series
Aleksandra Korolova

Assistant Professor of Computer Science and Public Affairs, Princeton University

View bio
Manoel Horta Ribeiro

Assistant Professor, Princeton University

View bio

Moderated By

Mihir Kshirsagar

Tech Policy Clinic Lead, Princeton University

View bio

Format: online

Date & Time: October 13, 2026, 12:00 PM ET

Duration: 60 mins

Register for free

Other workshops in the Artificial Intelligence collection