Governing Prediction
What questions should public professionals ask before adopting a predictive system? How should agencies evaluate performance, monitor outcomes, and maintain accountability when predictive tools are used to inform decisions? This session examines practical approaches to procurement, oversight, transparency, monitoring, and governance. Participants will leave with a framework for ensuring that predictive systems augment rather than replace human judgment and that public-sector decisions remain accountable, explainable, and aligned with public values.
The Good, the Bad and the Ugly of Predictive…Coming UpPrediction Isn't Judgment: What Predictive AI Can—and Cannot—Do
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 p…
The Good, the Bad and the Ugly of Predictive…Coming UpThe Good, the Bad, and the Ugly
Some predictive systems have helped governments improve inspections, anticipate service needs, target interventions, and allocate resources more effectively. Others have failed because of poor data, flawed assumptions, feedback loops, bias, or misplaced confid…