Gary Marcus, best-selling author and NYU professor, has spent decades studying how children learn and is a known critic of deep learning. Gary was the founder and CEO of Geometric Intelligence, which uses insights from cognitive psychology to build better AI systems. Gary discusses why we still have a long way to go to get to Strong AI and why his sparse data approach is so valuable. We also get into the challenges for AI startups competing with the resources of Google, how corporates aren't focused on what society actually needs from AI, his proposal to revamp the outdated Turing test, and why programming a robot to understand "harm" is so difficult.
This episode was produced by Allison Behringer.
TEDxCERN (Marcus) - Why toddlers are smarter than computers
The New Yorker (Marcus) - IS “DEEP LEARNING” A REVOLUTION IN ARTIFICIAL INTELLIGENCE?
Scientific American (Marcus) - The Search for a New Test of Artificial Intelligence
Financial Times - Microsoft’s Tay back swearing on Twitter