AI Ethics & Bias for Graduate Students credit:

4 Hours

Addresses ethical guidelines and bias in AI models. In addition to learning these legal and policy frameworks, students apply them to activities that are common for mid-career professionals in business, tech, and related industries through case studies that ask them to do things such as debias AI methods, evaluate AI frameworks, and prepare recommendations to ensure equitable AI deployments. Prerequisite: Restricted to graduate students in the College of Law.