Prerequisites: EE 142 or EE 146 or EE 148 or CS 148 or CS 171; or equivalent; graduate standing; or consent of instructor
Description: Introduces core principles and practices for developing safe, reliable AI in autonomous systems and robotics, covering foundational and advanced concepts in trustworthy AI and machine learning. Integrates cutting-edge research on building safe, robust, generalizable, and explainable systems, emphasizing the critical role of trust and ethics in AI deployment.
Credit: May be taken Satisfactory (S) or No Credit (NC) with consent of instructor and graduate advisor.