Catalog Description
Introduction to generative artificial intelligence from a human-in-the-loop perspective, including an overview of the field and its historical development, ethical dilemmas, and the creation and evaluation of systems.
Instructor Description
Introduction to generative artificial intelligence from a human-in-the-loop perspective, including an overview of the field and its historical development, ethical dilemmas, and the creation and evaluation of systems.
Prerequisites
Graduate Standing. Introductory-level familiarity with Python programming recommended.
Restrictions
Enrollment in Information Studies (INF) courses is restricted to graduate students in the School of Information through registration periods 1 and 2, with outside students only being accepted during period 3.
A limited number of seats may also be reserved for non-iSchool students participating in the Graduate Portfolio Program in Ethical AI. Eligible students are advised to contact the instructor for consideration.
Notes
Students with prior credit in INF 385T Prompt Engineering are advised not to enroll in this class.
Current and Upcoming Classes for this Course
| Class Name | Semester | Day(s) | Start Time(s) | End Time(s) | Building | Room |
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| INF 385T: Special Topics in Information Science: Human-Centered Generative AI
Michael Mcquaid |
Spring Term 2027 |
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