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Algorithmic Regulation$
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Karen Yeung and Martin Lodge

Print publication date: 2019

Print ISBN-13: 9780198838494

Published to Oxford Scholarship Online: October 2019

DOI: 10.1093/oso/9780198838494.001.0001

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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 20 September 2021

The Practical Challenges of Implementing Algorithmic Regulation for Public Services

The Practical Challenges of Implementing Algorithmic Regulation for Public Services

Chapter:
(p.150) 7 The Practical Challenges of Implementing Algorithmic Regulation for Public Services
Source:
Algorithmic Regulation
Author(s):

Alex Griffiths

Publisher:
Oxford University Press
DOI:10.1093/oso/9780198838494.003.0007

This chapter focuses on one particularly salient application of algorithmic regulation in the public sector—for the purposes of risk assessment to inform decisions about the allocation of enforcement resources, focusing on their accuracy and effectiveness in risk prediction. Drawing on two UK case studies in health care and higher education, it highlights the limited effectiveness of algorithmic regulation in these contexts, drawing attention to the pre-requisites for algorithmic regulation to fully play to its predictive strengths. In so doing, it warns against any premature application of algorithmic regulation to ever-more regulatory domains, serving as a sober reminder that delivering on the claimed promises of algorithmic regulation is anything but simple, straightforward or ‘seamless’.

Keywords:   algorithmic regulation, public sector, risk assessment, decision-making, resource allocation, enforcement, health care, higher education

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