23. Robots that Could Beat World Cup Champs and How Governments Can Work With and Plan For Artificial Intelligence and Effect of AI on Jobs and Society | Prof Peter Stone
Summary: Prof Peter Stone is the founder and director of the Learning Agents Research Group (LARG) within the <a href="http://www.cs.utexas.edu/~pstone/index.shtml">Artificial Intelligence Laboratory</a> in the Department of Computer Science at The University of Texas at Austin, as well as associate department chair and chair of the University’s Robotics Portfolio Program.<br> He is also the President, COO, and co-founder of Cogitai, a startup company building AIs that learn continually from interaction with the real world – ie brains or continual-learning AI sof tware.<br> Peter’s main research interest is understanding how we can best create complete intelligent agents and focuses mainly on machine learning, multiagent systems, and robotics. Prof Stone has worked with modeling/creating robot soccer, autonomous bidding agents, autonomous vehicles, autonomic computing and social agents.<br> In 2007 he received the prestigious IJCAI Computers and Thought Award, given biannually to the top AI researcher under the age of 35, and in 2016 he was awarded the ACM/SIGAI Autonomous Agents Research Award.<br> <br> <br> <br> <br> <a href="https://fringe.fm/itunestextlink">You can listen right here on iTunes</a><br> In our wide-ranging conversation, we cover many things, including:<br> <br> * Why the general public is confused about artificial intelligence<br> * What is cutting edge in the space of robotics and AI<br> * How Peter and his team are perfecting soccer robotically<br> * The big problem with government action/inaction when it comes to AI<br> * The different types of AI and machine learning and advantages of each<br> * How Peter and others think about consciousness with machines<br> * The problems Peter sees with hype and fear mongering<br> * The implications to healthcare and quality of life in an society with increased automation<br> * Peter’s recommendations to governments and regulators on AI<br> * Why Peter believes we are still a long way off from AGI<br> * Why AI is overhyped and underhyped<br> <br> <a href="https://ai100.stanford.edu/2016-report">Here’s the AI 100 Report we discussed</a><br> <br> <a href="http://fringe.fm/itunes"></a><br> <a href="http://fringe.fm/stitcher"></a><br> —<br> Make a Tax-Deductible Donation to Support FringeFM<br> <br> FringeFM is supported by the generosity of its readers and listeners. If you find our work valuable, please consider supporting us on <a href="http://fringe.fm/donate">Patreon,</a> via <a href="https://fringe.fm/paypal">Paypal</a> or with <a href="https://fringe.fm/donorbox">DonorBox powered by Stripe</a>.<br> <br> <br> <br>
