19-746 Special Topics: Fundamentals of Responsible AI

12 units, Carnegie Mellon University

This course provides an interdisciplinary introduction to the key principles and topics in responsible AI, including bias, fairness, interpretability, explainability, privacy, robustness, and safety. Students will develop an understanding of these topics from multiple stakeholder perspectives. The course will cover key methods in responsible AI, drawing on machine learning, statistics, and economics. It will also examine emerging frameworks in AI policy and regulation.

Prerequisites: none listed

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