Open Seminar Series
Access the knowledge
We've assembled world-class researchers to teach in the International Programme on AI Evaluation — but we don't want to gatekeep their expertise.
If we want AI evaluation to become a real discipline, the knowledge can't stay in a room of 40. Through the Open Seminar Series, we're opening select lectures from the programme to anyone who wants to learn.
What to expect
As our first cohort works through the programme's modules, we’ll open selected sessions to the wider community. These are live lectures by leading researchers — the same sessions our students attend — covering topics from uncertainty estimation to red-teaming to AI governance.
Sessions are free, and delivered on Zoom.
Evaluating Multi-Agent / Social Systems — Prof. Joel Z. Leibo
What happens when we need to evaluate AI systems that don't act alone — but interact with each other and with us? This talk explores evaluation in multi-agent systems, through benchmarks like Melting Pot and Concordia.
Uncertainty Estimation — Prof. Thomas Dietterich
When an AI makes a prediction, how much should we trust it? This lecture looks at the tools we use to quantify uncertainty — from understanding where it comes from, to flagging when something looks completely unfamiliar to the model.
Want to go deeper?
The International Programme on AI Evaluation trains 40 selected participants each year in a comprehensive 150-hour programme.