Rate My Professor Pauline Kim

A nationally recognized expert in employment law, Pauline Kim has authored dozens of articles and book chapters on workplace governance, including employee privacy, discrimination, job security, and the challenges posed by artificial intelligence and big data. Key publications include the leading textbook Work Law: Cases and Materials (4th ed., 2015, with Marion Crain and Michael Selmi), “Data-Driven Discrimination at Work” (58 William & Mary Law Review 857, 2017), “Race-Aware Algorithms: Fairness, Nondiscrimination and Affirmative Action” (110 California Law Review 1539, 2022), “Less Discriminatory Algorithms” (forthcoming 113 Georgetown Law Journal, 2024, with Emily Black et al.), and “Limitations of the ‘Four-Fifths Rule’ and Statistical Parity Tests for Measuring Fairness” (8 Georgetown Law Technology Review 93, 2024, with Manish Raghavan). Her scholarship has received major honors, including election to the American Academy of Arts and Sciences in 2024, the Future of Privacy Forum’s Privacy Papers for Policymakers Award in 2024 for “Less Discriminatory Algorithms,” the International Association of Privacy Professionals Best Paper award in 2016 for “Data-Driven Discrimination at Work,” and Washington University Founders Day Distinguished Faculty Award in 2021. Kim’s empirical research on judicial hierarchies and employment discrimination enforcement has significantly influenced legal academia and policy.