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Reflecting on public service regulation by algorithm

Lodge, Martin ORCID: 0000-0002-4273-6118 and Mennicken, Andrea ORCID: 0000-0002-5658-7678 (2019) Reflecting on public service regulation by algorithm. In: Yeung, Karen and Lodge, Martin, (eds.) Algorithmic Regulation. Oxford University Press, Oxford, UK, 178 - 200. ISBN 9780198838494

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Identification Number: 10.1093/oso/9780198838494.003.0008

Abstract

This chapter focuses on the potentials and challenges posed by the utilization of machine learning algorithms in the regulation of public services, that is services supplied by or on behalf of government to a particular jurisdiction’s community, including healthcare, education, or correctional services. It argues that the widespread enthusiasm for algorithmic regulation hides much deeper differences in worldviews about regulatory approaches, and that advancing the utilization of algorithmic regulation potentially transforms existing mixes of regulatory approaches in non-anticipated ways. It also argues that regulating through algorithmic regulation presents distinct administrative problems in terms of knowledge creation, coordination, and integration, as well as ambiguity over objectives. These challenges for the use of machine learning algorithms in public service algorithmic regulation require renewed attention to questions of the ‘regulation of regulators’.

Item Type: Book Section
Official URL: https://global.oup.com/academic/product/algorithmi...
Additional Information: © 2019 The Authors
Divisions: Government
Accounting
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
J Political Science > JF Political institutions (General)
Date Deposited: 30 May 2022 15:09
Last Modified: 16 May 2024 05:57
URI: http://eprints.lse.ac.uk/id/eprint/115247

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