INF 385T: Special Topics in Information Science: Human-Centered Generative AI

Spring Term 2027
Mode: In-Person
Instructor
Syllabus to come
Program: MSIS/PhD
Unique ID
54050
Day Start End Building Room
  • Wednesday
  • 3:00 pm
  • 6:00 pm
  • UTA
  • 1.208

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 this course is restricted to graduate students in Information Studies through registration period 1, with outside students welcomed beginning in period 2.

Notes

Students with prior credit in INF 385T Prompt Engineering are advised not to enroll in this class.