2021
DOI: 10.1017/err.2021.52
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A Sandbox Approach to Regulating High-Risk Artificial Intelligence Applications

Abstract: 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 a… Show more

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Cited by 40 publications
(12 citation statements)
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“…Regulatory sandboxes were originally used by financial regulators to encourage financial innovation. The regulatory sandbox is about providing a secure and fast testing environment in which fintech companies can test innovative financial products and services, and then decide whether to carry out real marketing outside the sandbox [36]. By building an AI regulatory sandbox, the risks posed by AI products can be better assessed and addressed.…”
Section: Discussion and Recommendationsmentioning
confidence: 99%
“…Regulatory sandboxes were originally used by financial regulators to encourage financial innovation. The regulatory sandbox is about providing a secure and fast testing environment in which fintech companies can test innovative financial products and services, and then decide whether to carry out real marketing outside the sandbox [36]. By building an AI regulatory sandbox, the risks posed by AI products can be better assessed and addressed.…”
Section: Discussion and Recommendationsmentioning
confidence: 99%
“…From product safety standards to truth-in-advertising laws, these regulations aim to safeguard consumers from fraudulent practices, ensure transparency in business transactions, and uphold the integrity of products and services in the market. In an era where data has become a valuable commodity, regulations addressing data privacy have gained prominence (Allen, 2020, Borgogno & Colangelo, 2019, Truby, et. al., 2022.…”
Section: Regulatory Environment In the Usamentioning
confidence: 99%
“…166 Truby et al criticize this approach as "eroding the very essence of sandbox regulation". 167 According to them, sandbox participants run a considerable risk: they are exposed to compliance and setup costs, an added layer of regulatory scrutiny and supervision, and their classified and commercially sensitive information and trade secrets are exposed to regulators and third parties. These risks should at least be offset by a diversified approach to liability issues.…”
Section: Benefits and Challenges Of Ai Regulatory Sandboxesmentioning
confidence: 99%