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

48 Pages Posted: 22 Sep 2021 Last revised: 30 Sep 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 20, 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.

JEL Classification: C01,C54,C55,D8,H0,K0

Suggested Citation

Ludwig, Jens and Mullainathan, Sendhil, Fragile Algorithms and Fallible Decision-Makers: Lessons from the Justice System (September 20, 2021). University of Chicago, Becker Friedman Institute for Economics Working Paper No. 2021-112, Available at SSRN: https://ssrn.com/abstract=3927932 or http://dx.doi.org/10.2139/ssrn.3927932

Jens Ludwig

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

3600 N Street, NW Suite 200
Washington, DC 20057
United States

National Bureau of Economic Research (NBER)

1050 Massachusetts Avenue
Cambridge, MA 02138
United States

IZA Institute of Labor Economics

P.O. Box 7240
Bonn, D-53072
Germany

Sendhil Mullainathan (Contact Author)

University of Chicago ( email )

1101 East 58th Street
Chicago, IL 60637
United States

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