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A Sandbox Approach to Regulating High-Risk Artificial Intelligence Applications
European Journal of Risk Regulation Pub Date : 2021-11-12 , DOI: 10.1017/err.2021.52
Jon Truby 1 , Rafael Dean Brown 2 , Imad Antoine Ibrahim 2 , Oriol Caudevilla Parellada 2
Affiliation  

This 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.



中文翻译:

一种监管高风险人工智能应用的沙盒方法

本文主张采用沙盒方法来监管人工智能 (AI),以补充严格的责任制度。作者认为,沙盒监管是对严格责任方法的适当补充,因为需要在一方面旨在保护人民和社会的监管方法与由于持续快速发展而促进创新之间保持平衡。另一个是AI领域。作者分析了沙盒监管作为严格责任制度的补充所带来的好处,这本身就会对人工智能创新产生寒蝉效应,尤其是对中小型企业而言。作者通过沙盒监管提出了人工智能领域的监管安全空间,

更新日期:2021-11-12
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