Gritsenko, D. and Wood, M. orcid.org/0000-0002-0433-2972 (2022) Algorithmic governance : a modes of governance approach. Regulation & Governance, 16 (1). pp. 45-62. ISSN 1748-5983
Abstract
This article examines how modes of governance are reconfigured as a result of using algorithms in the governance process. We argue that deploying algorithmic systems creates a shift toward a special form of design-based governance, with power exercised ex ante via choice architectures defined through protocols, requiring lower levels of commitment from governing actors. We use governance of three policy problems – speeding, disinformation, and social sharing – to illustrate what happens when algorithms are deployed to enable coordination in modes of hierarchical governance, self-governance, and co-governance. Our analysis shows that algorithms increase efficiency while decreasing the space for governing actors' discretion. Furthermore, we compare the effects of algorithms in each of these cases and explore sources of convergence and divergence between the governance modes. We suggest design-based governance modes that rely on algorithmic systems might be re-conceptualized as algorithmic governance to account for the prevalence of algorithms and the significance of their effects.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 The Authors. Regulation & Governance published by John Wiley & Sons Australia, Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited (http://creativecommons.org/licenses/by/4.0/). |
Keywords: | algorithm; automation; design‐ based governance; modes of governance |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Department of Politics and International Relations (Sheffield) |
Funding Information: | Funder Grant number Economic and Social Research Council ES/S00730X/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 24 Feb 2022 15:05 |
Last Modified: | 24 Feb 2022 15:05 |
Status: | Published |
Publisher: | Wiley |
Refereed: | Yes |
Identification Number: | 10.1111/rego.12367 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:183926 |