Paths to Human-level AI | Murray Shanahan | A-Talk (Part 2)
958 views · Published 19 November 2015 · 14:42 · Indexed 27 September 2026
Channel: NAO by Maxtronics · 2015 · Science & Technology
Murray Shanahan is Professor of Cognitive Robotics in the Dept. of Computing at Imperial College London, where he heads the Neurodynamics Group. His publications span artificial intelligence, robotics, logic, dynamical systems, computational neuroscience, and philosophy of mind. He was scientific advisor to the film Ex Machina, which was partly inspired by his book “Embodiment and the Inner Life” (OUP, 2010). In this talk he describes what he sees as the main obstacles to achieving human-level artificial intelligence given the current state of machine learning, and suggests a number of ways these obstacles might be overcome. These include speculations on a) Geoff Hinton's notion of thought vectors, b) hybrid symbolic-neural approaches, and c) cognitive architectures inspired by Bernard Baars's global workspace theory.
