Prof. Hal Abelson, Part 1: Lessons from a Computer Scientist: Machines, Humans, Regulation, and More

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Manage episode 238869055 series 1331295
By Troy A. Paredes & Lee A. Schneider, Troy A. Paredes, and Lee A. Schneider. Discovered by Player FM and our community — copyright is owned by the publisher, not Player FM, and audio is streamed directly from their servers. Hit the Subscribe button to track updates in Player FM, or paste the feed URL into other podcast apps.

Professor Hal Abelson of MIT joins Troy and Lee to explain key elements of the internet, machine learning, and the policy that governs them. He has broad experience from more than 40 years at MIT working with various types of computer systems. His insights into how things work and his efforts to educate policy makers is informative and timely given all technological breakthroughs that we’re living through. We take a deep dive into how machines learn, the limits of machine learning and artificial intelligence, and the sometimes inexplicable nature of what machines tell us. Our discussion got us thinking that machines and humans have some similar learning characteristics, even though machines do it with much less intuition and without any type of understanding... at least not yet.

71 episodes