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 • Jun 9, 2022
About this video
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
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
Video Information
Views
2.0K
Likes
69
Duration
01:03:57
Published
Jun 9, 2022
User Reviews
4.5
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