Keynote speakers

Kernel-driven and Learnable Self Supervision over Graphs

Socially Responsible and Trustworthy AI

[introductory] Responsible AI

[introductory] Facts and Rules in LLMs

[introductory] Algorithmic Fairness in High-Risk AI Applications

[introductory/intermediate] Differential Privacy beyond Algorithms

[introductory] AI for Social Justice

[introductory] Credit, Blame, and Personalisation in Human-AI Cooperation

[introductory/intermediate] Auditory Cognition in Humans and Machines

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

[intermediate/advanced] Probabilistic Verification for Neural Networks

[intermediate] Computational Cognitive Models of Human-AI Teaming

[introductory/intermediate] Interacting with Socially Interactive Agents

[intermediate] Lessons from Infants: Efficient Learning from Learner-generated Training Sets (A more transformative idea than might first appear)

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