Fairness and Machine Learning
This book gives a perspective on machine learning that treats fairness as a central concern rather than an afterthought. We’ll review the practice of machine learning in a way that highlights ethical challenges. We’ll then discuss approaches to mitigate these problems.
We’ve aimed to make the book as broadly accessible as we could, while preserving technical rigor and confronting difficult moral questions that arise in algorithmic decision making.