Artificial Intelligence & Machine Learning: Emerging Legal and Self-Regulatory Considerations, Part Two

Share

In the second installment of this report by the ABA’s Section of Antitrust, the authors discuss the competition implications of big data and artificial intelligence/machine learning.

As members of the Big Data Task Force of the American Bar Association’s Antitrust Law Section, authors from Cornerstone Research contributed to a special two-part report, Artificial Intelligence & Machine Learning: Emerging Legal and Self-Regulatory Considerations. The first part of the report focused on legal issues raised by the use of big data and how corporations’ use of data analytics affects consumers.
In the second installment, the authors discuss the rise of artificial intelligence (AI) and machine learning (ML) and their impact on competition law, both in the United States and internationally. Topics covered include:
  • Economic models for competition law analysis
  • Implications for market definition and market power
  • Tensions between competition and consumer protection law
  • Monopolization and abuse of dominance scenarios
  • Mergers and acquisitions
  • Multi-firm conduct
  • International reports on digital competition

Members of the Task Force from Cornerstone Research include:

  • Vandy Howell, Vice Chair
  • Vildan Altuglu
  • Gila Bronshtein
  • Avigail Kifer

This report was originally published by the American Bar Association’s Section of Antitrust Law in February 2021.


The views expressed in this article are solely those of the authors, who are responsible for the content, and do not necessarily represent the views of Cornerstone Research.

Artificial Intelligence & Machine Learning: Emerging Legal and Self-Regulatory Considerations, Part Two

Authors

  • San Francisco

Vandy M. Howell

Senior Vice President

  • New York

Vildan Altuglu

Vice President

  • Silicon Valley

Gila Bronshtein

Senior Manager