3min chapter

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

Stanford Computational Antitrust

CHAPTER

The Importance of Clean Data in AI Algorithms

There is hope that one day we may be able to train or to develop an AI what algorithm working on the basis of you know the decisions coming from all agencies but indeed it seems that for the short term it might be an idea to start doing its purgier's diction and then to see if there are inconsistencies actually which is already something which is I think very valuable in your paper. The fact that we know there are those inconsistencies and difficulty in training or to put the data field data from two agencies is already some telling us something very useful, he says.

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