Frank Fagan

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v88.2
Competing Algorithms for Law: Sentencing, Admissions, and Employment
Saul Levmore
William B. Graham Distinguished Service Professor of Law, The University of Chicago Law School.

We benefited from discussions with colleagues at a University of Chicago Law School workshop and with Concetta Balestra Fagan and Eliot Levmore.

Frank Fagan
Associate Professor of Law, EDHEC Business School, France.

When the past is thought to predict the future, it is unsurprising that machine learning, with access to large data sets, wins prediction contests when competing against an individual, including a judge. Just as computers predict next week’s weather better than any human working alone, at least one study shows that machine learning can make better decisions than can judges when deciding whether or not to grant bail.

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