#312 - The Trouble with AI

<p><span style="font-weight: 400;">Sam Harris speaks with Stuart Russell and Gary Marcus about recent developments in artificial intelligence and the long-term risks of producing artificial general intelligence (AGI). They discuss the limitations of Deep Learning, the surprising power of narrow AI, ChatGPT, a possible misinformation apocalypse, the problem of instantiating human values, the business model of the Internet, the meta-verse, digital provenance, using AI to control AI, the control problem, emergent goals, locking down core values, programming uncertainty about human values into AGI, the prospects of slowing or stopping AI progress, and other topics.</span></p> <p><strong>Stuart Russell</strong><span style="font-weight: 400;"> is a Professor of Computer Science at the University of California at Berkeley, holder of the Smith-Zadeh Chair in Engineering, and Director of the Center for Human-Compatible AI. He is a recipient of the IJCAI Computers and Thought Award and held the Chaire Blaise Pascal in Paris. In 2021, he received the OBE from Her Majesty Queen Elizabeth and gave the Reith Lectures. He is an Honorary Fellow of Wadham College, Oxford, an Andrew Carnegie Fellow, and a Fellow of the American Association for Artificial Intelligence, the Association for Computing Machinery, and the American Association for the Advancement of Science. His book, </span><a href="https://amzn.to/3IRaEVh" target="_blank" rel="noopener"><em><span style="font-weight: 400;">Artificial Intelligence: A Modern Approach</span></em></a><span style="font-weight: 400;">, co-authored with Peter Norvig, is the standard text in AI, used in 1500 universities in 135 countries. Russell is also the author of </span><a href="https://amzn.to/3L5LxRh" target="_blank" rel="noopener"><em><span style="font-weight: 400;">Human Compatible: Artificial Intelligence and the Problem of Control</span></em></a><span style="font-weight: 400;">. His research covers a wide range of topics in artificial intelligence, with a current emphasis on the long