Seminar by Prof Murray Shanahan, 27 May 2025
Seminar by Prof Murray Shanahan at UCL Centre for Artificial Intelligence

The UCL AI Centre is pleased to host a talk by Murray Shanahan, Professor of Cognitive Robotics at Imperial College London and Principal Research Scientist at Google DeepMind.
The talk, "Palatable Conceptions of Disembodied Being", is part of the UCL AI Centre seminar series.
Further details, an abstract and Prof Shanahan’s bio are available on the Eventbrite registration page.
For those joining in person the talk will be followed by drinks and nibbles. The talk will also be streamed live on Teams and will be recorded and available on the AI Centre YouTube channel.
Professor of Cognitive Robotics, Imperial College London; Principal Research Scientist, Google DeepMind
Imperial College London and Google DeepMind
Murray is a principal research scientist at Google DeepMind and Professor of Cognitive Robotics at Imperial College London. Educated at Imperial College (BSc(Eng) computer science, 1984) and Cambridge University (King’s College; PhD computer science, 1988), he became a full professor at Imperial in 2006, and joined DeepMind in 2017. His publications span artificial intelligence, machine learning, logic, dynamical systems, computational neuroscience, and philosophy of mind. He is active in public engagement, and was scientific advisor on the film Ex Machina. He has written several books, including “Embodiment and the Inner Life” (2010) and “The Technological Singularity” (2015).
He has devoted his career to trying to understand cognition and consciousness in the space of possible minds. This space of possibilities encompasses biological brains, human and animal, as well as artificial intelligence. He likes to look at the topic from multiple, interdisciplinary perspectives: computational, empirical, and philosophical. He worked in classical, symbolic AI for over 10 years, concentrating on so-called common sense reasoning. He then spent 10 years or so studying the biological brain, specifically how its connectivity and dynamics support cognition and consciousness. (He has been particularly influenced by global workspace theory.) Then, when AI got exciting again, he migrated to machine learning, where he got involved in deep reinforcement learning. Most recently, he has been working with large language models, trying to understand them from theoretical, philosophical, and practical points of view.
Further information
Ticketing
Pre-booking essential
Cost
Free
Open to
All
Availability
Yes