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

Jens Ludwig and Sendhil Mullainathan

No 29267, NBER Working Papers from National Bureau of Economic Research, Inc

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-codes: C01 C54 C55 D8 H0 K0 (search for similar items in EconPapers)
Date: 2021-09
New Economics Papers: this item is included in nep-big, nep-cmp, nep-isf and nep-law
Note: EH LE LS PE PR
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Published as Jens Ludwig & Sendhil Mullainathan, 2021. "Fragile Algorithms and Fallible Decision-Makers: Lessons from the Justice System," Journal of Economic Perspectives, American Economic Association, vol. 35(4), pages 71-96, Fall.
Published as Jens Ludwig & Sendhil Mullainathan, 2021. "Fragile Algorithms and Fallible Decision-Makers: Lessons from the Justice System," Journal of Economic Perspectives, vol 35(4), pages 71-96.

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