A Sandbox Approach to Regulating High-Risk Artificial Intelligence Applications

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A Sandbox Approach to Regulating High-Risk Artificial Intelligence Applications
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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 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.

About The Authors:

Jon Truby

Associate Professor of Law and Director, Centre for Law & Development, College of Law, Qatar

Rafael Dean Brown

Qatar University College of Law

Imad Antoine Ibrahim

Research Assistant Professor at Qatar University

Oriol Caudevilla Parellada

Center for Law & Development, College of Law, Qatar University | Autonomous University of Barcelona (UAB) | Expert and Senior Lecturer at CFTE – Centre for Finance Technology & Entrepreneurship

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