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What is "Race" in Algorithmic Discrimination on the Basis of Race?

Offered By: Institute for Pure & Applied Mathematics (IPAM) via YouTube

Tags

Social Sciences Courses Data Science Courses Machine Learning Courses

Course Description

Overview

Explore a thought-provoking lecture on the complex relationship between race and algorithmic discrimination. Delve into the philosophical and practical challenges of defining racial discrimination in machine learning algorithms. Examine prevailing approaches based on identifying causal effects of race and understand their limitations. Discover how adopting a constructivist theory of race offers a more principled solution to this puzzle. Learn about the "thick constructivist" account of race and its implications for understanding discrimination in both algorithmic and broader contexts. Gain insights into how social positioning and statistical regularities contribute to the concept of race. Consider the ramifications of this perspective on our understanding of fairness and bias in data-driven decision-making systems.

Syllabus

Lily Hu - What is "Race" in Algorithmic Discrimination on the Basis of Race? - IPAM at UCLA


Taught by

Institute for Pure & Applied Mathematics (IPAM)

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