{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/61e878a1419a9b0013b27134/689a51925edc63baa3b4979c?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"AI and the Future of Work: Joshua Gans on Navigating Job Displacement","description":"<p>Joshua Gans, a professor at the University of Toronto and co-author of \"Power and Prediction: The Disruptive Economics of Artificial Intelligence,\" joins Kevin Frazier, the AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to evaluate ongoing concerns about AI-induced job displacement, the likely consequences of various regulatory proposals on AI innovation, and how AI tools are already changing higher education. </p><p><br></p><p>Select works by Gans include: </p><p>A Quest for AI Knowledge (<a href=\"https://www.nber.org/papers/w33566\" rel=\"noopener noreferrer\" target=\"_blank\">https://www.nber.org/papers/w33566</a>)</p><p>Regulating the Direction of Innovation (<a href=\"https://www.nber.org/papers/w32741\" rel=\"noopener noreferrer\" target=\"_blank\">https://www.nber.org/papers/w32741</a>)</p><p>How Learning About Harms Impacts the Optimal Rate of Artificial Intelligence Adoption (<a href=\"https://www.nber.org/papers/w32105\" rel=\"noopener noreferrer\" target=\"_blank\">https://www.nber.org/papers/w32105</a>)</p>","author_name":"Lawfare & University of Texas Law School"}