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Chun-Ping Yen

Biographic Data

ID5995946
NAMEChun-Ping Yen
GIVEN NAMESChun-Ping
FAMILY NAMEYen
SIGNATUREYEN C
AFFILIATIONSInstitute of European and American Studies, Academia Sinica
ORCID0000-0001-7576-3115
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Predictive policing and algorithmic fairness

    Open Access•Tzu-Wei Hung, Chun-Ping Yen•ARTICLE•Synthese•2023•References: 91

    This paper examines racial discrimination and algorithmic bias in predictive policing algorithms (PPAs), an emerging technology designed to predict threats and suggest solutions in law enforcement. We first describe what discrimination is in a case study of Chicago’s PPA. We then explain their causes with Broadbent’s contrastive model of causation and causal diagrams. Based on the cognitive science literature, we also explain why fairness is not …

  • On the person-based predictive policing of AI

    Open Access•Tzu-Wei Hung, Chun-Ping Yen•ARTICLE•Ethics and Information Technology•2021

  • Achieving Equity with Predictive Policing Algorithms

    Open Access•Chun-Ping Yen, Tzu-Wei Hung•ARTICLE•Science and Engineering Ethics•2021

No prominent works on this page.

  • On the person-based predictive policing of AI

    Open Access•Tzu-Wei Hung, Chun-Ping Yen•ARTICLE•Ethics and Information Technology•2021

  • Achieving Equity with Predictive Policing Algorithms

    Open Access•Chun-Ping Yen, Tzu-Wei Hung•ARTICLE•Science and Engineering Ethics•2021

  • Predictive policing and algorithmic fairness

    Open Access•Tzu-Wei Hung, Chun-Ping Yen•ARTICLE•Synthese•2023•References: 91

    This paper examines racial discrimination and algorithmic bias in predictive policing algorithms (PPAs), an emerging technology designed to predict threats and suggest solutions in law enforcement. We first describe what discrimination is in a case study of Chicago’s PPA. We then explain their causes with Broadbent’s contrastive model of causation and causal diagrams. Based on the cognitive science literature, we also explain why fairness is not …

Computer Science (3 works) · Sociology (3 works) · Crime Patterns and Interventions (2 works) · Criminology (2 works) · Ethics and Social Impacts of AI (2 works) · Law (2 works) · Law enforcement (2 works) · Political science (2 works) · Predictive analytics (2 works) · Psychology (2 works)

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