A Sandbox Approach to Regulating High-Risk Artificial Intelligence Applications

Jon Truby; Rafael Dean Brown; Imad Antoine Ibrahim; Oriol Caudevilla Parellada

doi:10.1017/err.2021.52

journal article Open Access Nov 12, 2021

A Sandbox Approach to Regulating High-Risk Artificial Intelligence Applications

Jon Truby

Rafael Dean Brown Imad Antoine Ibrahim

Oriol Caudevilla Parellada

European Journal of Risk Regulation Vol. 13 No. 2 pp. 270-294 · Cambridge University Press (CUP)

View at Publisher Save 10.1017/err.2021.52

Abstract

AbstractThis paper argues for a sandbox approach to regulating artificial intelligence (AI) to complement a strict liability regime. The authors argue that sandbox regulation is an appropriate complement to a strict liability approach, given the need to maintain a balance between a regulatory approach that aims to protect people and society on the one hand and to foster innovation due to the constant and rapid developments in the AI field on the other. The authors analyse the benefits of sandbox regulation when used as a supplement to a strict liability regime, which by itself creates a chilling effect on AI innovation, especially for small and medium-sized enterprises. The authors propose a regulatory safe space in the AI sector through sandbox regulation, an idea already embraced by European Union regulators and where AI products and services can be tested within safeguards.

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Details

Published: Nov 12, 2021
Vol/Issue: 13(2)
Pages: 270-294
License: View

Authors

J

Jon Truby

Law & Development, College of Law Qatar University Doha Qatar

Oriol Caudevilla Parellada

Cite This Article

Jon Truby, Rafael Dean Brown, Imad Antoine Ibrahim, et al. (2021). A Sandbox Approach to Regulating High-Risk Artificial Intelligence Applications. European Journal of Risk Regulation, 13(2), 270-294. https://doi.org/10.1017/err.2021.52

A Sandbox Approach to Regulating High-Risk Artificial Intelligence Applications

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