Professors and Courses

Ana Bazzan
[introductory/intermediate] Autonomous Agents, Multiagent Systems, Swarm Intelligence and Reinforcement Learning: What Are These and Why They Matter in the Current AI Agenda

Justine Cassell
[introductory/intermediate] Building Agents that Collaborate with People rather than Replacing Them

Pierre Dillenbourg
[introductory] Productive Noise: The Benefits of Misunderstandings in Collaboration

Steven Drucker
[introductory/intermediate] Attention Is All You Have: Human-Centered AI in the Agentic Era

Peter Flach
[introductory/intermediate] Classifier Calibration: A Prerequisite for Trustworthy AI

James Hollan
[intermediate] The Future of HCI: Generative AI, Negotiated Agency, and Co-Adaptive Systems

Andreas Holzinger
[introductory/intermediate] Trustworthy Agentic AI: Human-AI Collaboration, Explainability, and Verifiable Autonomy

Jason Hong
[introductory/intermediate] Challenges in Human-AI Interaction

Christian Lebiere
[intermediate] Metacognition and Theory of Mind in Humans and Machines

Sijia Liu
[introductory/advanced] Safety Alignment for AI Agents: From Centralized to Distributed Solutions

Simon Parsons
[introductory] Agents and Agentic AI

Simone Stumpf
[introductory/intermediate] Explainable AI (XAI) and Debugging in the Era of Agentic AI

Lyle Ungar
[introductory] From Tools to Teammates: How AI Changes Human Work and Relationships


