Explore a thought-provoking conference talk examining the interplay between standardized tests, affirmative action, and statistical concepts of bias and variance. Delve into the research presented by N. Garg, H. Li, and F. Monachou at the FAccT 2021 virtual conference. Gain insights into their model, key results, and theorems, and understand how these findings apply to real-world scenarios. Analyze the implications of this study on the ongoing debate surrounding standardized testing and affirmative action policies in education and beyond.
Standardized Tests and Affirmative Action - The Role of Bias and Variance
Association for Computing Machinery (ACM) via YouTube
Overview
Syllabus
Introduction
Model
Results
Theorems
Application
Conclusion
Taught by
ACM FAccT Conference
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