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NYU Professor Rob Seamans and Michael Impink provide key takeaways from this year’s Economics of Robots Conference. Topics discussed include trends on robot adoption, generative AI, and impact of robots on human labor.

Given the recent dramatic increases in AI language modeling capabilities, Professors Ed Felten (Princeton), Rob Seamans (New York University), and Manav Raj (University of Pennsylvania) collaborated to explore how ChatGPT and other AI language modelers will affect jobs and industries.

Stanford Professor Erik Brynjolfsson discusses the perils of focusing AI development on systems that outmatch human capabilities as opposed to systems that complement humans.

Stanford economics professor Nicholas Bloom shared his learnings from two decades of researching remote work on the Recalibrate Reality podcast. Professor Bloom states, “The reality of 2022 onwards is that hybrid is here to stay.”

Stanford economics professor Nicholas Bloom joins Prof Nirvikar Singh, University of California, Santa Cruz, to discuss the future of work on the “Ideas for India” podcast. Since the onset of the COVID-19 pandemic, remote work has become the norm for many organizations. This has raised questions about worker productivity and equity, work-life balance, and the future of commuting and cities.

Introduction to several recent articles by TAP scholars that explore the impact of artificial intelligence technologies on the future of work, racial and gender equity, privacy, and administrative accountability.

In the latest issue of The Toulouse School of Economics Magazine, Stanford economist Susan Athey discusses how machine learning is transforming economics.

Frank Pasquale, University of Maryland law professor and artificial intelligence (AI) expert, shares his thoughts on four new legally inspired rules that should be applied to robots and AI in our daily lives.

The Economics of Artificial Intelligence: An Agenda, edited by Rotman School of Management professors Ajay Agrawal, Joshua Gans, and Avi Goldfarb, seeks to set the agenda for the economic research on the impact of AI.

Mary Gray and Siddharth Suri’s new book, Ghost Work: How to Stop Silicon Valley from Building a New Global Underclass, explores the lives of people who are paid to train artificial intelligence and serve as “humans in the loop” delivering on-demand information services.