Why Explaining Black Box Models Isn't Always Necessary in High-Stakes Decisions 🚫

Discover Cynthia Rudin's insights on when and why we should reconsider explaining complex machine learning models in critical decision-making scenarios. Learn effective alternatives for high-stakes AI applications.

Institute for Advanced Study•2.0K views•01:03:57

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2022 Program for Women and Mathematics: The Mathematics of Machine Learning Topic: Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead Speaker: Cynthia Rudin Affiliation: Duke University Date: May 24, 2022
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Institute for Advanced Study

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