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The Silicon Ceiling - Auditing GPT's Race and Gender Biases in Hiring

Association for Computing Machinery (ACM) via YouTube

Overview

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Explore groundbreaking research presented at an ACM conference talk examining how GPT language models exhibit racial and gender biases in hiring contexts, with researchers Lena Armstrong, Abbey Liu, Stephen MacNeil, and Danae Metaxa sharing their systematic audit findings and implications for AI fairness in employment decisions.

Syllabus

The Silicon Ceiling - Auditing GPT’s Race and Gender Biases

Taught by

Association for Computing Machinery (ACM)

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