By on May 25th, 2018. This post currently has no responses.

CCC’s: What do we know about algorithmic collusion? (Guest Post by Ai Deng PhD)

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Dr. Ai Deng of Bates White Economic Consulting has been a long time and frequent contributor to Cartel Capers.  He is a leading voice in the area of artificial intelligence and algorithmic collusion.  You can follow him on LinkedIn (here).  HIs most recent post is below:

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I had the pleasure of speaking about artificial intelligence and algorithmic collusion at the American Bar Association Section of Antitrust Law Spring Meeting 2018 last month. The star war-themed session seemed to have gone very well. I want to thank again Paul Saint-Antoine, Lesli Esposito, Professors Maurice Stucke and Joshua Gans for putting together the panel with me.

I have just posted another article on algorithmic collusion on SSRN. The paper is partially based on my remarks at the Spring Meeting but expands on several fronts. Below is the abstract. You can download the full working paper at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3171315

Abstract

The past few years have seen many legal scholars and antitrust agencies expressing interest in and concerns with algorithmic collusion. In this paper, I survey and draw lessons from the literature on Artificial Intelligence and on the economics of algorithmic tacit collusion. I show that a good understanding of this literature is a crucial first step to better understand the antitrust risks of algorithmic pricing and devise antitrust policies to combat such risks.

Keywords: algorithmic pricingalgorithmic collusionartificial intelligenceantitrust

This is one of a series of papers I have written in the past year about the general topic of machine learning and artificial intelligence, and their implications on antitrust issues.

As always, I appreciate your thoughts and comments. You can reach me at [email protected] or connect with me on LinkedIn [here]

Ai Deng, PhD

Principal at Bates White Economic Consulting

Lecturer at Advanced Academic Program, Johns Hopkins University

direct: 2022161802 | fax: 2024087838

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