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April 2019 Recap

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Last month on TAP one of the blogs gave an intriguing glimpse into the soon-to-be-released book, The Economics of Artificial Intelligence: An Agenda. Editors Ajay Agrawal, Joshua Gans, and Avi Goldfarb, all University of Toronto Rotman School of Management professors, write:
 

“Artificial intelligence (AI) technologies have advanced rapidly over the last several years. As the technology continues to improve, it may have a substantial impact on the economy with respect to productivity, growth, inequality, market power, innovation, and employment. Without a better understanding of how AI might impact the economy, we cannot design policy to prepare for these changes.”


The TAP blog, TAP Scholars Discuss the Economics of AI, provides snapshot summaries of chapters that were written by TAP scholars. MIT’s Erik Brynjolfsson and Joshua Gans contributed articles in the section focused on artificial intelligence as a general purpose technology. Daron Acemoglu (MIT), James Bessen (Boston University School of Law), and Austan Goolsbee (University of Chicago Booth School of Business) shared their insights on AI as it relates to jobs and inequality. The section on machine learning and regulation has chapters authored by Hal  Varian (emeritus professor at UC Berkeley) and Catherine Tucker (MIT). The final section of The Economics of Artificial Intelligence: An Agenda, machine learning and economics, includes insights from Susan Athey (Stanford Graduate School of Business).
 

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