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 1

Q2 Social Sciences Federal Probation Pub Date : 2018-09-01 DOI:10.2139/SSRN.3271682
Alexander M. Holsinger, Christopher T. Lowenkamp, Edward J. Latessa, R. Serin, Thomas H. Cohen, Charles R. Robinson, Anthony W. Flores, Scott W. VanBenschoten
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引用次数: 11

Abstract

Alexander M. Holsinger Criminal Justice Coordinator, Johnson County, KS Christopher T. Lowenkamp Administrative Office of the U.S. Courts Edward J. Latessa University of Cincinnati Ralph Serin Carleton University, Ottawa Thomas H. Cohen Administrative Office of the U.S. Courts Charles R. Robinson Administrative Office of the U.S. Courts Anthony W. Flores California State University, Bakersfield Scott W. VanBenschoten Administrative Office of the U.S. Courts
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对Dressel和Farid的反驳:新研究发现,计算机算法在预测逮捕方面比人类更准确,与20名非专业专家的预测一样好
亚历山大·m·霍尔辛格刑事司法协调员,约翰逊县,KS克里斯托弗·t·洛温坎普美国法院行政办公室爱德华·j·拉特萨辛辛那提大学拉尔夫·瑟林·卡尔顿大学,渥太华托马斯·h·科恩美国法院行政办公室查尔斯·r·罗宾逊美国法院行政办公室安东尼·w·弗洛雷斯加利福尼亚州立大学,贝克斯菲尔德斯科特·w·范本斯霍滕美国法院行政办公室
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来源期刊
Federal Probation
Federal Probation Social Sciences-Law
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Three Strikes and You're Out!: The Political Sentencing Game Using a Train-the-Trainer Model to Promote Practice Change among Agencies Serving Justice-Involved Youth. Operationalizing a Behavioral Health Services Cascade of Care Model: Lessons Learned from a 33-Site Implementation in Juvenile Justice Community Supervision. Fidelity in Evidence-based Practices in Jail Settings. 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 1
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