Standardized Tests and Affirmative Action - The Role of Bias and Variance
Association for Computing Machinery (ACM) via YouTube
35% Off Finance Skills That Get You Hired - Code CFI35
AI Adoption - Drive Business Value and Organizational Impact
Overview
Coursera Spring Sale
40% Off Coursera Plus Annual!
Grab it
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