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AuthorTruby, jon
AuthorBrown, Rafael Dean
AuthorIbrahim, Imad Antoine
AuthorParellada, Oriol Caudevilla
Available date2021-11-18T11:05:21Z
Publication Date2021-11-12
Publication NameEuropean Journal of Risk Regulation
Identifierhttp://dx.doi.org/10.1017/err.2021.52
CitationTruby, J., Brown, R., Ibrahim, I., & Parellada, O. (2021). A Sandbox Approach to Regulating High-Risk Artificial Intelligence Applications. European Journal of Risk Regulation, 1-29. doi:10.1017/err.2021.52
URIhttp://hdl.handle.net/10576/25007
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 analyze 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.
Languageen
PublisherCambridge University Press
Subjectartificial intelligence
sandbox regulation
EU regulation
fault-based liability
strict liability
TitleA Sandbox Approach to Regulating High-Risk Artificial Intelligence Applications
TypeArticle
dc.accessType Open Access


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