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Ramsi Woodcock, assistant professor of law at the University of Kentucky, joins the Business Scholarship Podcast to discuss his article The Market as a Learning Algorithm: Consequences for Regulation and Antitrust. In this article, Woodcock questions the Chicago School's reliance on skepticism and the metaphor of evolutionary biology to undermine pre-1970s antitrust enforcement. Rather than the evolutionary metaphor, he explains that machine learning more aptly describes how antitrust and other forms of economic regulation can foster social advancement and guard against social predation.
This episode is hosted by Andrew Jennings, a teaching fellow and lecturer in law at Stanford Law School.
By Andrew Jennings4.9
3232 ratings
Ramsi Woodcock, assistant professor of law at the University of Kentucky, joins the Business Scholarship Podcast to discuss his article The Market as a Learning Algorithm: Consequences for Regulation and Antitrust. In this article, Woodcock questions the Chicago School's reliance on skepticism and the metaphor of evolutionary biology to undermine pre-1970s antitrust enforcement. Rather than the evolutionary metaphor, he explains that machine learning more aptly describes how antitrust and other forms of economic regulation can foster social advancement and guard against social predation.
This episode is hosted by Andrew Jennings, a teaching fellow and lecturer in law at Stanford Law School.

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