AI and Policing: Impact Assessment and Empirical Evidence Needed

15 Pages Posted: 3 Feb 2021

See all articles by Emre Kazim

Emre Kazim

Holistic AI; University College London

Adriano Koshiyama

Department of Computer Science, University College London

Danielle Denny

University of São Paulo (USP) - Escola Superior de Agricultura “Luiz de Queiroz” (ESALQ); National University of Singapore (NUS) - Asia-Pacific Centre for Environmental Law (APCEL)

Date Written: March 3, 2020

Abstract

This paper is about the report ‘Data Analytics and Algorithms in Policing in England and Wales’ written by the Royal United Services Institute (RUSI) and commissioned by the Centre for Data Ethics and Innovation to study the use of data analytics by police force, with a focus on algorithmic bias. In this piece we will first provide a summary of the report and then further comment on three core areas of the report: the need of governance, the integrated impact assessment, and the discussion about transparency, explainability and accountability. We used the descriptive methodology with document analyses as research technique.

Keywords: Digital ethics, Data ethics, AI, RUSI, algorithmic bias

Suggested Citation

Kazim, Emre and Koshiyama, Adriano and Denny, Danielle and Denny, Danielle, AI and Policing: Impact Assessment and Empirical Evidence Needed (March 3, 2020). Available at SSRN: https://ssrn.com/abstract=3742604 or http://dx.doi.org/10.2139/ssrn.3742604

Emre Kazim

Holistic AI ( email )

18 Soho Square
London, W1D 3QH

University College London ( email )

United Kingdom

Adriano Koshiyama

Department of Computer Science, University College London ( email )

Gower Street
London, London WC1E 6BT
United Kingdom

Danielle Denny (Contact Author)

University of São Paulo (USP) - Escola Superior de Agricultura “Luiz de Queiroz” (ESALQ) ( email )

Brazil

National University of Singapore (NUS) - Asia-Pacific Centre for Environmental Law (APCEL) ( email )

259776
Singapore

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