Spring 2026 Computer Science W4710 section 001

Ethical and Responsible AI

ETHIC AND RESPONSIBLE AI

Call Number 12362
Day & Time
Location
TR 1:10pm-2:25pm
To be announced
Points 3
Grading Mode Standard
Approvals Required None
Instructor Ansaf Salleb-Aouissi
Type LECTURE
Method of Instruction In-Person
Course Description

Principles of Ethical Artificial Intelligence across technical and societal dimensions. Combines technical AI and machine learning implementations and ethical analysis. Students will learn to build, audit, and mitigate ethical risks in AI systems using tools like fairness libraries, explainability frameworks, and privacy-preserving techniques. Emphasizes coding, algorithmic critique, and real-world cases.
Topics include: foundations of AI ethics, fairness, interpretability, explainability,  accountability, privacy, robustness, alignment, safety, and societal benefit. 
Assessments include coding projects, bias auditing assignments, and ethical analysis papers.

Web Site Vergil
Department Computer Science
Enrollment 0 students (120 max) as of 10:05AM Friday, October 10, 2025
Subject Computer Science
Number W4710
Section 001
Division School of Engineering and Applied Science: Graduate
Section key 20261COMS4710W001