Teaching Justice: Mitigating Bias in Machine Learning

2025/11/24 by Iyioku, Gift · 2 voices
#AI in public policy #Computer Science Education #Equity in technology #Responsible AI

paper · doi:10.60690/8dxytg88

Abstract

Edited by Dr. Carlotta A. Berry and Dr. Brandeis Hill Marshall, two leading Black American women in STEM, the book addresses a longstanding gap in the field by offering a comprehensive and socially responsive guide to understanding and mitigating bias in artificial intelligence systems. Most of all, these two technologists offer a clear, technologically sound set of instructions for responsible model design and maintenance, accompanied by helpful charts and figures.

Discussions

• Since you like researching me online here's more reading for you. ojs.stanford.edu/ojs/index.ph... [bsky, 0 points, 0 comments]
• Check out this important book by @DrCABerry and @csdoctorsister reviewed in GRACE journal, every department needs to order one for students and faculty ojs.stanford.edu/ojs/index.ph... [bsky, 0 points, 0 comments]

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