The Inscrutable Code?

The Deficient Scrutiny Problem of Automated Government

Authors

  • Richard Mackenzie-Gray Scott University of Oxford
  • Lilian Edwards Newcastle University | The Alan Turing Institute

DOI:

https://doi.org/10.71265/sxb9dj82

Keywords:

Automated Decision-Making , Data-Driven Governance , Executive Accountability , Public Scrutiny , Separation of Powers

Abstract

Public administration in the United Kingdom increasingly features automated decision-making. From predictive policing and prisoner categorisation, to asylum applications and tenancy relationships, automated government exists across various domains. This article examines an underlying issue concerning government automated decision-making systems: the lack of public scrutiny they receive across pre- to post-deployment. Branches of the state tasked with scrutinising government, namely Parliament and the courts, appear outmoded to address this problem. These circumstances prompt a concern of where the public can expect safeguards from government overreach manifested through computer software. Two regulatory solutions are proposed. First, mandating pre-deployment impact assessments of automated decision-making systems intended for use by government, either during their design, or before procurement. Second, incorporating algorithmic auditing as part of reinforcing the duty of candour in judicial review, so as to better inform courts about specific systems and the data underpinning them.

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Author Biographies

  • Richard Mackenzie-Gray Scott, University of Oxford

    Dr Richard Mackenzie-Gray Scott is Postdoctoral Fellow at the Bonavero Institute of Human Rights and St Antony's College, University of Oxford.

  • Lilian Edwards, Newcastle University | The Alan Turing Institute

    Prof Lilian Edwards is Professor Emeritus at Newcastle University and Director of Pangloss Consulting.

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Published

17-03-2025 — Updated on 17-03-2025

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How to Cite

Mackenzie-Gray Scott, R., & Edwards, L. . (2025). The Inscrutable Code? The Deficient Scrutiny Problem of Automated Government. Technology and Regulation, 2025, 37-59. https://doi.org/10.71265/sxb9dj82

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