Fragile Algorithms and Fallible Decision-Makers: Lessons from the Justice System

47 Pages Posted: 20 Sep 2021 Last revised: 20 Dec 2021

See all articles by Jens Ludwig

Jens Ludwig

Georgetown University - Public Policy Institute (GPPI); National Bureau of Economic Research (NBER); IZA Institute of Labor Economics

Sendhil Mullainathan

University of Chicago

Multiple version iconThere are 2 versions of this paper

Date Written: September 2021

Abstract

Algorithms (in some form) are already widely used in the criminal justice system. We draw lessons from this experience for what is to come for the rest of society as machine learning diffuses. We find economists and other social scientists have a key role to play in shaping the impact of algorithms, in part through improving the tools used to build them.

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Suggested Citation

Ludwig, Jens and Mullainathan, Sendhil, Fragile Algorithms and Fallible Decision-Makers: Lessons from the Justice System (September 2021). NBER Working Paper No. w29267, Available at SSRN: https://ssrn.com/abstract=3926948

Jens Ludwig (Contact Author)

Georgetown University - Public Policy Institute (GPPI) ( email )

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National Bureau of Economic Research (NBER)

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IZA Institute of Labor Economics

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Sendhil Mullainathan

University of Chicago ( email )

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Chicago, IL 60637
United States

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