CSCI 6907 / EMSE 6992
Classroom: SEH B1270. This is one of the lecture halls in the basement of the SEH building. If you go into the building and descend the stairs, turn right at the bottom.
Meeting Time: Mondays 3:30 PM – 6:00 PM. Typically, 3:30 PM – 4:30 PM will feature an invited speaker, followed by an in-class exercise.
Remote Access: This course is intended to be in-person, but most guest lectures are public. If you can't attend, use the Zoom link below. Note that in-class exercises are essential for learning, so this is not a remote course.
If prompted for a password, use: 12481632 (Sequence: 1, 2, 4, 8, 16, 32)
Syllabus: Spring2026TrustworthyAISyllabus.docx.
This class will explore the technical and societal approaches that are being developed to deploy trustworthy AI (TAI) systems in real-world situations. The course is open to graduate students across the University and will explore topics that may include bias in AI, misinformation and disinformation, IP rights and credit assignment in generative AI, ethical frameworks for AI deployment, and human oversight and governance models. Course work will focus on four large projects, structured to be approachable from social, legal, scientific or computational perspectives.