Title: "Opening the Human Blackbox in AI-Assisted Decisions"
By Jessica Hullman, Ginni Rometty Professor of Computer Science and IPR Fellow.
Abstract: As organizations scramble to deploy artificial intelligence (AI) models to improve decision making in critical domains like medicine and law, how to evaluate pairings of humans and AI models is a pressing question. A goal is often human-AI complementarity, where the two agents working together outperform either alone. But it often remains unclear in deploying models in practice what the AI contributes to a decision process, how this differs from what the human contributes, and how we know when the pair is performing well. In this talk, Hullman will present recent work on decision-theoretic tools for better understanding and designing for human-AI complementation.
This event is part of the Fay Lomax Cook Spring 2025 Colloquium Series, where our researchers from around the University share their latest policy-relevant research.
Please note all colloquia this quarter will be held in-person only.
Patricia Reese
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