MBAI 5200G - Ethical and Legal Issues in Analytics and AI

This course highlights key legal and ethical issues related to data analytics and AI. Increasingly, scholars and practitioners are urging data scientists and business persons to be more cognizant of the accidental and intentional harms caused by the widespread deployment of machine learning and AI. This course examines potential liabilities in law related to data analytics and AI and juxtaposes legal requirements with ethical considerations. The course will also explore some of the most pressing ethical issues related to data analytics and AI. This course situates these explorations in the context of a set of core guiding principles for ethical and responsible data management. Possible topics include: obtaining meaningful consent to the collection of data; standard contractual provisions related to data analytics; liabilities related to outsourcing elements of data analytics (jurisdiction); privacy-related torts, negligence liability; ethical frameworks; implicit bias and the problem of bias in AI; tensions fairness and IP rights in black box AI; and the principles of ethical research in AI.
Credit hours: 3
Experiential learning Yes