4min chapter

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Episode 1: Gleaning Insight from Antitrust Cases Using Machine Learning (Massarotto & Ittoo)

Stanford Computational Antitrust

CHAPTER

Introduction

Computational Antitrust is a new domain of legal informatics. The project gathers over 50 antitrust agencies and 35 academics in the advisory board. Jovana Masaroto co-authored an article discussing what AI can learn from antitrust cases. For the purpose of their paper they have coded FTC rulings and trained a machine learning algorithm on that basis.

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