Purdue Engineering Distinguished Lecture Series: Martin Wainwright, Panel

Описание: Generative AI is transforming how we collect, synthesize and interpret data, but it also blurs the line between evidence, simulation and modeling. This panel examines how model-building and decision-making are changing in the age of generative models, probing when we should trust generative AI-assisted analysis, how to keep humans meaningfully “in the loop,” and what new methodological developments are needed to ensure that powerful generative tools improve, rather than erode, responsible model-building and decision-making.

Moderator
Harsha Honnappa, Associate Professor Edwardson School of Industrial Engineering

Panelists
Martin Wainwright, Cecil H. Green Professor in Electrical Engineering and Computer Science and Mathematics, MIT
David Inouye, Assistant Professor, Elmore Family School of Electrical and Computer Engineering
Ana Maria Estrada Gomez, Assistant Professor, Edwardson School of Industrial Engineering
Guang Lin, Associate Dean of Research and Innovation, Moses Cobb Stevens Professor, Mathematical Sciences and Professor of Mechanical Engineering
Mohit Tawarmalani, Executive Associate Dean of Strategy, Research, and Innovation, Allison & Nancy Schleicher Chair, Daniels School of Business
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