Gary Marcus on Rebooting AI: Building Artificial Intelligence We Can Trust

It’s been 7 years since my first interview with Gary Marcus and I felt it’s time to catch up with him. Gary is the youngest Professor Emeritus at NYU and I wanted to get his contrarian views on the major things that have happened in AI as well as those that haven’t happened. Prof. Marcus is an interesting interviewee not only because he is an expert in the field but also because he is a skeptic on the current approaches to and progress towards Artificial General Intelligence but an optimist that we will eventually figure it all out. During this 90 min interview with Gary Marcus we cover a variety of interesting topics such as: Gary’s interest in the human mind, natural and artificial intelligence; Deep Mind’s victory in Go and what it does and doesn’t mean for AGI; the need for Rebooting AI; trusting AI and the AI chasms; Asimov’s Laws and Bostrom’s paper-clip-maximizing AI; the Turing Test and Ray Kurzweil’s singularity timeline; Mastering Go Without Human Knowledge; closed vs open systems; Chomsky, Minsky and Ferrucci on AGI; the limits of deep learning and the myth of the master algorithm; the problem of defining (artificial) intelligence; human and machine consciousness; the team behind and the mission of Robust AI. As always you can listen to or download the audio file above or scroll down and watch the video interview in full. To show your support you can write a review on iTunes, make a direct donation or become a patron on Patreon.