Professors and Courses

Ricardo Baeza-Yates
[introductory] Introduction to Responsible AI

Thomas Breuel
[introductory] Facts and Rules in LLMs

Carlos Castillo
[introductory] Algorithmic Fairness in High-Risk AI Applications

Rachel Cummings
[introductory/intermediate] Differential Privacy beyond Algorithms

Alan Dix
[introductory] AI for Social Justice

Brian D. Earp
[introductory] Credit, Blame, and Personalisation in Human-AI Cooperation

Elia Formisano
[introductory/intermediate] Auditory Cognition in Humans and Machines

Marijn Janssen
[introductory/advanced] Data and AI Governance – From Control to Trust

Marta Kwiatkowska
[intermediate/advanced] Probabilistic Verification for Neural Networks

Christian Lebiere
[intermediate] Computational Cognitive Models of Human-AI Teaming

Catherine Pelachaud
[introductory/intermediate] Interacting with Socially Interactive Agents

Linda B. Smith
[intermediate] Toddlers and Machines: Insights into Efficient Learning

Paul Smolensky
[intermediate/advanced] Symbol Processing in Transformers and Other Neural Networks