A rejoinder to dressel and farid: New study finds computer algorithm is more accurate than humans at predicting arrest and as good as a group of 20 lay experts

Holsinger, Alexander M.; Lowenkamp, Christopher T.; Latessa, Edward J.; Serin, Ralph; Cohen, Thomas H.; Robinson, Charles R.; Flores, Anthony W.; VanBenschoten, Scott W.

Holsinger, A.M. (Alexander M.), Lowenkamp, C.T. (Christopher T.), Latessa, E.J. (Edward J.), R. Serin (Ralph), Cohen, T.H. (Thomas H.), Robinson, C.R. (Charles R.), Flores, A.W. (Anthony W.) and VanBenschoten, S.W. (Scott W.)

2018-09-01

A rejoinder to dressel and farid: New study finds computer algorithm is more accurate than humans at predicting arrest and as good as a group of 20 lay experts

Federal Probation , Volume 82 - Issue 2 p. 50- 55

Additional Metadata
Journal	Federal Probation
Organisation	Department of Psychology
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Holsinger, A.M. (Alexander M.), Lowenkamp, C.T. (Christopher T.), Latessa, E.J. (Edward J.), Serin, R, Cohen, T.H. (Thomas H.), Robinson, C.R. (Charles R.), … VanBenschoten, S.W. (Scott W.). (2018). A rejoinder to dressel and farid: New study finds computer algorithm is more accurate than humans at predicting arrest and as good as a group of 20 lay experts. Federal Probation, 82(2), 50–55.

A rejoinder to dressel and farid: New study finds computer algorithm is more accurate than humans at predicting arrest and as good as a group of 20 lay experts

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A rejoinder to dressel and farid: New study finds computer algorithm is more accurate than humans at predicting arrest and as good as a group of 20 lay experts

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