An Antitrust Lawyer's Guide to Machine Learning

11 Pages Posted: 8 Dec 2017 Last revised: 20 Jan 2018

Ai Deng

Bates White Economic Consulting; Advanced Academic Programs, Johns Hopkins University

Date Written: January 9, 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

Deng, Ai, An Antitrust Lawyer's Guide to Machine Learning (January 9, 2018). Available at SSRN: https://ssrn.com/abstract=3082514 or http://dx.doi.org/10.2139/ssrn.3082514

Ai Deng (Contact Author)

Bates White Economic Consulting ( email )

1300 Eye St NW
Suite 600
Washington, DC DC 20005
United States

Advanced Academic Programs, Johns Hopkins University ( email )

Baltimore, MD 20036-1984
United States

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