• Title Fairness and Machine Learning: Limitations and Opportunities
• Author(s) Solon Barocas, Moritz Hardt, Arvind Narayanan
• Publisher: The MIT Press (December 19, 2023); eBook (Creative Commons Licensed)
• License(s): Creative Commons License (CC)
• Hardcover/Paperback 340 pages
• eBook: HTML, PDF Files, Video Lectures
• Language: English
• ISBN-10/ASIN: 0262048612
• ISBN-13: 978-0262048613
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Book Description

This book is an introduction to the intellectual foundations of this recently emergent field, drawing on a diverse range of disciplinary perspectives to identify the opportunities and hazards of automated decision-making.

• Solon Barocas is a Principal Researcher in the New York City lab of Microsoft Research, where he is a member of the Fairness, Accountability, Transparency, and Ethics in AI (FATE) research group.

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• Machine Learning
• Neural Networks and Deep Learning
• Artificial Intelligence
• Data Analysis and Data Mining

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