Just public algorithms: Mapping public engagement with the use of algorithms in UK public services

Pallett, Helen ORCID: https://orcid.org/0000-0001-5014-6356, Price, Catherine, Chilvers, Jason ORCID: https://orcid.org/0000-0001-9238-1653 and Burall, Simon (2024) Just public algorithms: Mapping public engagement with the use of algorithms in UK public services. Big Data and Society, 11 (1). ISSN 2053-9517

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This paper proposes and models a novel approach to public engagement with the use of algorithms in public services. Algorithms pose significant risks which need to be anticipated and mitigated through democratic governance, including public engagement. We argue that as the challenge of creating responsible algorithms within a dynamic innovation system is one that will never definitively be accomplished – and as public engagement is not singular or pre-given but is always constructed through performance and in relation to other processes and events – public engagement with algorithms needs to be conducted and conceptualised as relational, systemic, and ongoing. We use a systemic mapping approach to map and analyse 77 cases of public engagement with the use of algorithms in public services in the UK 2013–2020 and synthesise the potential benefits and risks of these approaches articulated across the cases. The mapping shows there was already a diversity of public engagement on this topic in the UK by 2020, involving a wide range of different policy areas, framings of the problem, affordances of algorithms, publics, and formats of public engagement. While many of the cases anticipate benefits from the adoption of these technologies, they also raise a range of concerns which mirror much of the critical literature and highlight how algorithmic approaches may sometimes foreclose alternative options for policy delivery. The paper concludes by considering how this approach could be adopted on an ongoing basis to ensure the responsible governance of algorithms in public services, through a ‘public engagement observatory’.

Item Type: Article
Additional Information: Funding information: This work was supported by the Engineering and Physical Sciences Research Council, (grant number EP/R044929/1).
Uncontrolled Keywords: algorithms,public engagement,public engagement observatories,public services,information systems,communication,computer science applications,information systems and management,library and information sciences ,/dk/atira/pure/subjectarea/asjc/1700/1710
Faculty \ School: Faculty of Science > School of Environmental Sciences
University of East Anglia Research Groups/Centres > Theme - ClimateUEA
UEA Research Groups: Faculty of Science > Research Groups > Environmental Social Sciences
Faculty of Science > Research Groups > Science, Society and Sustainability
Related URLs:
Depositing User: LivePure Connector
Date Deposited: 20 Mar 2024 09:31
Last Modified: 03 Apr 2024 10:31
URI: https://ueaeprints.uea.ac.uk/id/eprint/94726
DOI: 10.1177/20539517241235867


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