
Episode 18: Automating Competition Law Enforcement (Hofmann & Lorenzoni)
Stanford Computational Antitrust
00:00
The Potential of Machine Learning in the Enforcement of Computational Law
The main use of machine learning would be the screening tool because I see that whenever there is a possibility to apply a commentary quantitative tools and support machine learning can very well used as well. The investigation phase is mostly they use on natural language processing which is a subfield of AI and possibility to use with machine learning. And when it comes to the decision making also the possibility there are projects going on at the University of Luxembourg to predict the outcome of future cases.
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