Fragile Algorithms and Fallible Decision-Makers: Lessons from the Justice System
47 Pages Posted: 20 Sep 2021 Last revised: 20 Dec 2021
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Fragile Algorithms and Fallible Decision-Makers: Lessons from the Justice System
University of Chicago, Becker Friedman Institute for Economics Working Paper No. 2021-112
Number of pages: 48
Posted: 22 Sep 2021
Last Revised: 30 Sep 2021
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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: 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
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