MAI 553: Trustworthy and Ethical AI Systems

This course delves into the critical aspects of creating AI systems that are both trustworthy and ethical. It covers the principles of ethical AI design, including transparency, fairness, privacy, and accountability. Students will explore various frameworks and guidelines for ethical AI development, discuss case studies of AI systems with significant societal impacts, and learn how to implement techniques for bias detection and mitigation. The course also addresses the importance of trust in AI, focusing on building reliable systems that earn user confidence through ethical decision-making processes. Through interactive discussions, hands-on projects, and critical analysis, participants will learn how to navigate the ethical challenges in AI development and contribute to the creation of responsible AI technologies.