Robust and Responsible AI

3 credits · Undergraduate

This course combines the ethical, social, and governance aspects of AI with the technical principles of robustness and resilience. Students will examine how to develop machine learning systems that are fair, accountable, transparent, interpretable, and secure in the face of data drift, adversarial threats, and uncertainty. Through theory, hands-on work, and a semester-long project, students will build practical, defensible AI systems. PREREQUISITES: CSCI 3152.03 with a grade of C or better