Topics will vary from semester to semester. See Computer Science Division announcements.

This is a graduate-level, research-focused course on Human-AI Interaction. Lectures will cover the evolving connections between HCI and AI research on a variety of topics, including: Mixed-Initiative Interaction, Natural Language Interactions, Sensing-Based Input, Co-Pilots/Co-Designers/Co-Creators, Explanations and Interpretability, Generative AI and the Arts, AI for Accessibility. Readings will cover a balance of foundational and recent HAI research literature. Students will read and critique papers and discuss them in class. Each student will co-lead at least one in-class discussion. Students will also design, conduct, and write up a HAI research project suitable for submission and peer review in small groups. Project ideas can be student initiated; we will also provide a number of promising project directions. Graduate students with a background in either Human-Computer Interaction or Artificial Intelligence will be best prepared for this course.

- Prerequisites: Suggested background in either HCI or AI

- No time conflicts

- An alternate final will be offered

Requisites

• Graduate students, excluding non-EECS MEng.

Repeat Rules