Cited by 167Ethics and Social Impacts of AIArtificial Intelligence in LawPolicing Practices and Perceptions

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A review of predictive policing from the perspective of fairness

Alikhademi, Kiana, Drobina, Emma, Prioleau, Diandra, Richardson, Brianna, Purves, Duncan, Gilbert, Juan E.·2022·Artificial Intelligence and Law

DOI 10.1007/s10506-021-09286-4

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AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias
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Authors: Alikhademi, K., Drobina, E., Prioleau, D., Richardson, B., Purves, D., & Gilbert, J. E.
Affiliations: University of Florida (US)
Corresponding author: Alikhademi, Kiana
ORCID: Alikhademi, Kiana
Prioleau, Diandra
Richardson, Brianna
Purves, Duncan
Gilbert, Juan E.
Venue: Artificial Intelligence and Law
Publisher: Springer Science and Business Media LLC
Published: 2021-04-15
Volume: 30
Issue: 1
Pages: 1-17
ISSN: 0924-8463 (ISSN-L)
1572-8382
DOI: 10.1007/s10506-021-09286-4
OpenAlex: W3155016818
Cited by: 167
References: 53
Citations by year: 2026: 29 · 2025: 26 · 2024: 27 · 2023: 69 · 2022: 14 · 2021: 2
FWCI: 35.01
Type: journal article
Language: en
Update notices: correction (2021-08-28)
Open access: closed
Licence: www.springer.com/tdm (tdm)
www.springer.com/tdm (vor)
Locations: Artificial Intelligence and Law (publishedVersion)
Funders: NSF (1917712)
Topics: Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
Social Sciences › Law › Artificial Intelligence in Law
Social Sciences › Political Science and International Relations › Policing Practices and Perceptions
Keywords: predictive policing, algorithmic fairness, indirect discrimination, systemic bias, criminal justice, algorithmic bias, social justice

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