Abstract

ABSTRACT This paper considers legal contestation in the UK as a source of useful reflections for AI policy. The government has published a ‘National AI Strategy’, but it is unclear how effective this will be given doubts about levels of public trust. One key concern is the UK’s apparent ‘side-lining’ of the law. A series of events were convened to investigate critical legal perspectives on the issues, culminating in an expert workshop addressing five sectors. Participants discussed AI in the context of wider trends towards automated decision-making (ADM). A recent proliferation in legal actions is expected to continue. The discussions illuminated the various ways in which individual examples connect systematically to developments in governance and broader ‘AI-related decision-making’, particularly due to chronic problems with transparency and awareness. This provides a fresh and current insight into the perspectives of key groups advancing criticisms relevant to policy in this area. Policymakers’ neglect of the law and legal processes is contributing to quality issues with recent practical ADM implementation in the UK. Strong signals are now required to switch back from the vicious cycle of increasing mistrust to an approach capable of generating public trust. Suggestions are summarised for consideration by policymakers.

Highlights

  • Artificial intelligence (AI) is a hot topic in public policy around the world

  • The present study focuses on the United Kingdom (UK), where the government has expressed strong interests in the ‘wondrous benefits of this technology, and the industrial revolution it is bringing about’ (Johnson 2019), and wishes to lead the G7 in working ‘together towards a trusted, values-driven digital ecosystem’ (DCMS 2021c)

  • This paper presents a policy-oriented analysis of a workshop held on 6 May 2021, the culmination of a series of collaborative events over the first half of 2021 to discuss AI in the UK from a critical legal perspective

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Summary

Introduction

Artificial intelligence (AI) is a hot topic in public policy around the world. Alongside efforts to develop and use information technology, AI has become a ubiquitous feature in visions of the future of society. This paper considers the relevance of legal and regulatory A. Frameworks in guiding these initiatives and ideas, challenging the ‘wider discourse ... Towards soft self-regulation’ (Black and Murray 2019). As discussed under ‘Findings’ below, it suggests that AI has become a problematic concept in policy. Policymakers might more responsibly focus on how to foster good decision-making as technology changes

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