Dilemmas in AI Regulation: An Exposition of the Regulatory Trade-Offs Between Responsibility and Innovation

14 Pages Posted: 6 Apr 2022

See all articles by Markus Trengove

Markus Trengove

Holistic AI

Emre Kazim

Holistic AI; University College London

Date Written: April 1, 2022

Abstract

In this paper, we map out key strategic and normative dilemmas that regulators must navigate in regulating the development and application of AI. We propose three such dilemmas. The first and fundamental dilemma concerns the trade-off between Responsibility and Innovation: governments must decide how to balance the imperative for regulatory safety and the imperative to develop and proliferate the use of AI. The first dilemma generates two more specific dilemmas: the choice between Horizontal and Vertical regulation, and the formulation of risk assessment methods. Here, we argue that the latter decision points fundamentally depend on the first: the structure of AI regulation should follow from the relative weighting that regulators give to the competing imperatives of Responsibility and Innovation. The task of this paper is to map out these decision points, and to foreground their normative assumptions and implications.

Keywords: Regulation; Artificial Intelligence; Compliance; Governance; Legislation; Risk Assessment; EU AI Act; UK Data Strategy; Algorithmic Accountability Act

Suggested Citation

Trengove, Markus and Kazim, Emre, Dilemmas in AI Regulation: An Exposition of the Regulatory Trade-Offs Between Responsibility and Innovation (April 1, 2022). Available at SSRN: https://ssrn.com/abstract=4072436 or http://dx.doi.org/10.2139/ssrn.4072436

Markus Trengove (Contact Author)

Holistic AI

18 Soho Square
London, W1D 3QL
United Kingdom

Emre Kazim

Holistic AI ( email )

18 Soho Square
London, W1D 3QH

University College London ( email )

United Kingdom

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