Stanford Computational Antitrust

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

Mar 5, 2021
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1
Introduction
00:00 • 4min
2
How Much Did the Experiment Cost You?
03:32 • 4min
3
The Cost of a New Algorithm
07:30 • 3min
4
The Benefits of Unsupervised Learning in Antitrust
10:21 • 3min
5
Why Unsupervised Learning Is the Best Approach for AI Applications
12:59 • 3min
6
The Importance of Combining Data From the FTC and the DOJ in AI Applications
15:43 • 4min
7
The Importance of Clean Data in AI Algorithms
19:29 • 3min
8
Machine Learning and Antitrust in the Pharmaceutical Industry
22:02 • 5min
9
The Tall Order of Machine Learning Techniques
26:39 • 2min
10
The Future of Computational Antitrust
28:54 • 4min
11
The Future of AI in Antitrust
33:14 • 2min