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
(1) Related Trending Topics
LIVE TRENDSRelated trending topics. Click any trend to explore more videos.
No specific trending topics match this video yet.
Explore All Trends