Fairness in Machine Learning and Law

This chapter examines the interplay between technology, law, and discrimination, focusing on Title VII of the Civil Rights Act and its implications for machine learning. It discusses the legal concepts of disparate treatment and impact, emphasizing the challenges of addressing algorithmic fairness amid societal biases. The discussion critiques the oversimplification of legal terms in technical contexts and highlights the need for nuanced approaches to ensure equitable outcomes in AI systems.