Legal Studies 342 - Machine Bias and Law

In this course, we will explore the political, legal, and social implications of Big Data, artificial intelligence, and the increasing reliance on automated, machine learning algorithms across many different decision-making contexts, with a particular focus on the manifestations of bias in computationally or machine-based decisions. The course will address both the promise and perils of data-based, machine decision-making as well as the multiplicity of ways in which it already influences our daily lives. Topics will include predictive policing, privacy concerns on social media and in consumer choice, Facebook news recommendation and free speech, the transformation of the legal profession, racial and gender discrimination in language, and health care policy. Satisfies the Integrative Experience requirement for Legal Studies majors.

Senior or Junior LEGAL primary majors only. LEGAL 101