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

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The authors discuss big data and the implications it has for consumer protection in this special report by the ABA’s Section of Antitrust.

As members of the Big Data Task Force of the American Bar Association’s Antitrust Law Section, several authors from Cornerstone Research contributed to a special report, Artificial Intelligence & Machine Learning: Emerging Legal and Self-Regulatory Considerations, Part One. This report provides an overview of big data and discusses the legal issues currently raised by the use of big data, with a focus on how corporations’ use of data analytics affects consumers.

  • Big data methodologies and applications
  • Opportunities and challenges presented by data analytics
  • Legal and regulatory authority applicable to big data and AI in the United States and the European Union
  • Role of self-regulation in addressing legal and ethical concerns related to algorithmic decision-making

Members of the Task Force from Cornerstone Research include:

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

This report was originally published by the American Bar Association’s Section of Antitrust Law in September 2019.


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 One

Authors

  • San Francisco

Vandy M. Howell

Senior Vice President

  • New York

Vildan Altuglu

Vice President

  • New York

Avigail Kifer

Principal