Machine Learning Algorithms and Police Decision-Making: Legal, Ethical and Regulatory Challenges

Alexander  Babuta; Marion Oswald; Christine Rinik

Machine Learning Algorithms and Police Decision-Making: Legal, Ethical and Regulatory Challenges

Alexander Babuta, Marion Oswald, Christine Rinik

Law Department

Research output: Book/Report › Commissioned report › peer-review

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Abstract

This report seeks to critically assess the use of machine learning algorithms for policing, and provide practical recommendations designed to contribute to the fast-moving debate over policy and governance in this area.

Original language	English
Place of Publication	London
Publisher	Royal United Services Institute
Number of pages	45
Publication status	Published - Sept 2018

Publication series

Name	Whitehall Reports
No.	18
Volume	3
ISSN (Print)	1750-9432

Access to Document

Babuta et al - Machine Learning Algorithms and Police Decision-Making OAFinal published version, 1.37 MBLicence: CC BY-NC-ND

https://rusi.org/publication/whitehall-reports/machine-learning-algorithms-and-police-decision-making-legal-ethicalLicence: CC BY-NC-ND

Artificial Intelligence and Public Standards: A Review by the Committee on Standards in Public Life, February 2020
Oswald, M. (Participant)
Impact: Public policy, law and services

Cite this

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Machine Learning Algorithms and Police Decision-Making: Legal, Ethical and Regulatory Challenges

Abstract

Publication series

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Impacts

Artificial Intelligence and Public Standards: A Review by the Committee on Standards in Public Life, February 2020

Cite this