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Standardized Tests and Affirmative Action - The Role of Bias and Variance

Offered By: Association for Computing Machinery (ACM) via YouTube

Tags

ACM FAccT Conference Courses Affirmative Action Courses Research Methodology Courses Statistical Models Courses

Course Description

Overview

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.

Syllabus

Introduction
Model
Results
Theorems
Application
Conclusion


Taught by

ACM FAccT Conference

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