Download This PaperAn Antitrust Lawyer's Guide to Machine Learning
Antitrust, Vol. 33, No. 1, 2018
6 Pages Posted: 8 Dec 2017 Last revised: 10 Jan 2019
Date Written: December 7, 2018
Abstract
I provide an intuitive guide to some fundamental concepts in machine learning and artificial intelligence through a series of simple examples. I also discuss examples of how these technologies are applied in law and economics. The goal of this article is to give antitrust attorneys and economists enough background knowledge to engage in meaningful conversations about the risks and rewards of AI.
Keywords: Algorithmic Collusion, Antitrust, Machine Learning, Artificial Intelligence
Suggested Citation: Suggested Citation
Deng, Ai, An Antitrust Lawyer's Guide to Machine Learning (December 7, 2018). Antitrust, Vol. 33, No. 1, 2018, Available at SSRN: https://ssrn.com/abstract=3082514 or http://dx.doi.org/10.2139/ssrn.3082514
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