Exploring human and machine intelligence
Conversations between Mihaela van der Schaar and Andrew Rashbass
About: This series of conversations between Mihaela and Andrew explores how humans and machines can partner in ways that empower and help people. The discussions are informal and explore a particular topic in some depth. The topics explored will be wide-ranging – from much-discussed machine-learning topics such as reinforcement and inverse reinforcement learning, causality, meta-learning and transfer-learning, and discovery from data to less-known subjects such as quantitative epistemology, reasoning in a complex and messy world, and which human-machine partnerships are advantageous and why.
The conversations will take place in person, usually at universities throughout the world, and will typically not be streamed nor recorded.
Upcoming session will be published on this website.
31 January, 8pm GMT
Interpretability in machine learning: how computers should explain their thinking
Oxford – hosted by the Oxford University Invariants Society
Mathematical Institute L1
6 February – Emmanuel College (Cambridge)
15 March – TBC
16 March – Emmanuel College (Cambridge)
15 May – Emmanuel College (Cambridge)
If you would like to host a session: please write to Mihaela and Andrew