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A comparative user study of human predictions in algorithm-supported recidivism risk assessment.

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Title: A comparative user study of human predictions in algorithm-supported recidivism risk assessment.
Authors: Portela, Manuel1, manuel.portela@upf.edu, Castillo, Carlos1,2, chato@acm.org, Tolan, Songül3, songueltolan@gmail.com, Karimi-Haghighi, Marzieh1, marzieh.karimihaghighi@upf.edu, Pueyo, Antonio Andres4, andrespueyo@ub.edu
Source: Artificial Intelligence & Law; Jun2025, Vol. 33 Issue 2, p471-517, 47p
Database: Applied Science & Technology Source
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Header DbId: aci
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PubType: Academic Journal
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  Data: A comparative user study of human predictions in algorithm-supported recidivism risk assessment.
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  Data: <searchLink fieldCode="AU" term="%22Portela%2C+Manuel%22">Portela, Manuel</searchLink><relatesTo>1</relatesTo>, <i>manuel.portela@upf.edu</i><br /><searchLink fieldCode="AU" term="%22Castillo%2C+Carlos%22">Castillo, Carlos</searchLink><relatesTo>1,2</relatesTo>, <i>chato@acm.org</i><br /><searchLink fieldCode="AU" term="%22Tolan%2C+Songül%22">Tolan, Songül</searchLink><relatesTo>3</relatesTo>, <i>songueltolan@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Karimi-Haghighi%2C+Marzieh%22">Karimi-Haghighi, Marzieh</searchLink><relatesTo>1</relatesTo>, <i>marzieh.karimihaghighi@upf.edu</i><br /><searchLink fieldCode="AU" term="%22Pueyo%2C+Antonio+Andres%22">Pueyo, Antonio Andres</searchLink><relatesTo>4</relatesTo>, <i>andrespueyo@ub.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Artificial+Intelligence+%26+Law%22">Artificial Intelligence & Law</searchLink>; Jun2025, Vol. 33 Issue 2, p471-517, 47p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=185686891
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        Value: 10.1007/s10506-024-09393-y
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      – Code: eng
        Text: English
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        PageCount: 47
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      – TitleFull: A comparative user study of human predictions in algorithm-supported recidivism risk assessment.
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            NameFull: Portela, Manuel
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            NameFull: Castillo, Carlos
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            – D: 01
              M: 06
              Text: Jun2025
              Type: published
              Y: 2025
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              Value: 33
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