The Silicon Ceiling - Auditing GPT's Race and Gender Biases in Hiring
Association for Computing Machinery (ACM) via YouTube
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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)