AI and the Future of Work: Joshua Gans on Navigating Job Displacement

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Scaling Laws

Lawfare & University of Texas Law School

181 episodes

4 days ago

Scaling Laws explores (and occasionally answers) the questions that keep OpenAI’s policy team up at night, the ones that motivate legislators to host hearings on AI and draft new AI bills, and the ones that are top of mind for tech-savvy law and policy students. Co-hosts Alan Rozenshtein, Professor at Minnesota Law and Research Director at Lawfare, and Kevin Frazier, AI Innovation and Law Fellow at the University of Texas and Senior Editor at Lawfare, dive into the intersection of AI, innovation policy, and the law through regular interviews with the folks deep in the weeds of developing, regulating, and adopting AI. They also provide regular rapid-response analysis of breaking AI governance news.

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Hosted on Acast. See acast.com/privacy for more information.

AI and the Future of Work: Joshua Gans on Navigating Job Displacement

Scaling Laws

57 minutes 56 seconds

1 month ago

AI and the Future of Work: Joshua Gans on Navigating Job Displacement

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.

Select works by Gans include:

A Quest for AI Knowledge (https://www.nber.org/papers/w33566)

Regulating the Direction of Innovation (https://www.nber.org/papers/w32741)

How Learning About Harms Impacts the Optimal Rate of Artificial Intelligence Adoption (https://www.nber.org/papers/w32105)

Hosted on Acast. See acast.com/privacy for more information.