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

Stanford Computational Antitrust

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Machine Learning and Antitrust in the Pharmaceutical Industry

Tivat: I believe that both your statements related to the price fixing in the pharmaceutical industry are correct. In 70% of these cases there was investigated the conspiracy along with other practices if I recall correctly it was exchange of information and collusion. He says AI techniques makes theoretically the antitrust enforcement action more predictable so it helps also companies in understanding whatever their practices are likely to be considered anti-competitive or not. Tivat asks how effective you think your algorithm is to operate on the market right now because what you've done is that you trained it out of past decisions but my question is do you think that it's ready now to screen markets to go out there right on its own and to

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