2024-2025 Undergraduate Catalog

CPS 3820 TRUSTWORTHY AND RESPONSIBLE AI

This course explores the principles and practices of Trustworthy and Responsible AI, emphasizing the foundational aspects for the development and implementation of reliable, safe, ethical, and fair AI systems. Students will examine the challenges and solutions related to bias, privacy, and security in AI systems, with discussions on emerging technologies like federated learning. Through lectures, case studies, and hands-on projects, students will learn how to design and evaluate AI systems that adhere to ethical standards and respect user privacy and security.

Credits

3

Prerequisite

CPS*2800 and CPS*2232 or CPS*2240