Machine Learning Predictive Algorithms and the Policing of Future Crimes: Governance and Oversight

In Policing and Artificial Intelligence (Dr John L.M. McDaniel and Prof Ken Pease OBE, eds., Routledge, Forthcoming 2020)

19 Pages Posted: 12 Nov 2019

See all articles by Marion Oswald

Marion Oswald

University of Northumbria at Newcastle

Alexander Babuta

affiliation not provided to SSRN

Date Written: October 31, 2019

Abstract

This chapter focuses upon machine learning algorithms within police decision-making in England and Wales, specifically in relation to predictive analytics. It first reviews the state of the art regarding the implementation of algorithmic tools underpinned by machine learning to aid police decision-making, and notes the impact of austerity as a driver for the development of such tools. We discuss how what could be called ‘Austerity AI’ is often linked to the prevention and public protection common law duties and functions of the police, a broad and imprecise legal base that the ECtHR in Catt found less than satisfactory. The potential implications of these tools for appropriate application of discretion within policing, as well as their potential impact on individual rights are then considered. Finally, existing and recommended governance and oversight processes, including those designed to facilitate trials of emerging technologies, are reviewed, and proposals made for statutory clarification of policing functions and duties, thus providing a clearer framework against which proposals for new AI development can be assessed.

Keywords: machine learning, algorithms, policing, discretion, Austerity AI

JEL Classification: K10

Suggested Citation

Oswald, Marion and Babuta, Alexander, Machine Learning Predictive Algorithms and the Policing of Future Crimes: Governance and Oversight (October 31, 2019). In Policing and Artificial Intelligence (Dr John L.M. McDaniel and Prof Ken Pease OBE, eds., Routledge, Forthcoming 2020), Available at SSRN: https://ssrn.com/abstract=3479081

Marion Oswald (Contact Author)

University of Northumbria at Newcastle ( email )

Pandon Building
208, City Campus East-1
Newcastle-Upon-Tyne, Newcastle NE1 8ST
United Kingdom

Alexander Babuta

affiliation not provided to SSRN

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
210
Abstract Views
932
rank
178,299
PlumX Metrics