Explore the crucial intersection of fairness and machine learning with “Fairness and Machine Learning: Limitations and Opportunities.” This essential guide, from The Bookish Owl, offers advanced students and professionals an in-depth look at the intellectual foundations and practical challenges of automated decision-making. Discover the risks inherent in machine learning applications and review emerging solutions designed to mitigate them. The book delves into statistical and causal measures for evaluating fairness, examining both procedural and substantive aspects of algorithmic discrimination through legal and philosophical lenses. Prepare to engage critically with the quantitative and ethical dimensions of fairness in AI, making it a vital resource for understanding and building more equitable machine learning systems.