This book addresses the issue of algorithmic discrimination, assessing the extent to which the existing European legal framework on equality and non-discrimination can capture this phenomenon and provide effective legal protection. Intended primarily for legal scholars, it identifies potential safeguards while highlighting gaps and weaknesses in the current framework's ability to address unfair outcomes arising from algorithmic decision-making.
The book examines the characteristics of algorithmic decision-making and the ways discrimination can emerge within these processes. It traces the evolution of the European Union's approach to equality and non-discrimination, from a focus on market integration to a broader emphasis on social objectives and fundamental rights. It further analyzes the challenges that algorithmic discrimination and differentiation pose to the structure and logic of EU non-discrimination law and concludes with a discussion of algorithmic discrimination in employment, considering the specific rights and interests of workers at stake.

Martina Migliorati is a member of the Legal Service of the European Parliament. She holds a Ph.D. in European Law from Roma Tre University (Italy), a Master of Laws from the University of Parma (Italy), and a Master's degree in European Studies from the European College of Parma (Italy). She also completed academic exchange programmes at Ghent University (Belgium) and the University of Baltimore School of Law (United States).