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

Jens Ludwig | Zendy; Sendhil Mullainathan | Zendy

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

Author(s) -

Jens Ludwig,

Sendhil Mullainathan

Publication year - 2021

Publication title -

the journal of economic perspectives

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 9.614

H-Index - 196

eISSN - 1944-7965

pISSN - 0895-3309

DOI - 10.1257/jep.35.4.71

Subject(s) - key (lock) , criminal justice , rest (music) , algorithm , computer science , economic justice , sociology , economics , artificial intelligence , machine learning , political science , criminology , law , computer security , medicine , cardiology

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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