Experimental Regulations for AI: Sandboxes for Morals and Mores

Sofia Ranchordas

doi:10.5771/2747-5174-2021-1-86

Contents
- Chapter Expand | CollapseAuthorsPage
- 1–2 Cover 1–2
- 3–6 Editorial 3–6
- 7–8 Contributors 7–8
- 9–9 Content 9–9
- 10–21 Hybrid Reality: The Rise of Deepfakes and Diverging Truths Miriam Meckel, Léa Steinacker Miriam Meckel, Léa Steinacker 10–21
- 22–29 Clout Chasing for the Sake of Content Monetization: Gaming Algorithmic Architectures with Self-Moderation Strategies Thales Bertaglia, Adrien Dubois, Catalina Goanta Thales Bertaglia, Adrien Dubois, Catalina Goanta 22–29
- 30–43 On The Verge of the Hybrid Mind Surjo Soekadar, Jennifer Chandler, Marcello Ienca, Christoph Bublitz Surjo Soekadar, Jennifer Chandler, Marcello Ienca, Christoph Bublitz 30–43
- 44–51 Beyond the Binary: Building a Quantum Future Shohini Ghose Shohini Ghose 44–51
- 52–59 Addressing the Legal Dimensionof Quantum Computers Valentin Jeutner Valentin Jeutner 52–59
- 60–73 Research in AI has Implications for Society: How do we Respond? Henrik Skaug Sætra, Eduard Fosch-Villaronga Henrik Skaug Sætra, Eduard Fosch-Villaronga 60–73
- 74–85 Tackling the Grand Challenge of Algorithmic Opacity Through Principled Robust Action Alexander Buhmann, Christian Fieseler Alexander Buhmann, Christian Fieseler 74–85
- 86–100 Experimental Regulations for AI: Sandboxes for Morals and Mores Sofia Ranchordas Sofia Ranchordas 86–100
Durchsuchen Sie das Werk
Geben Sie ein Keyword in die Suchleiste ein
No access

Morals & Machines , page 86 - 100

Experimental Regulations for AI: Sandboxes for Morals and Mores

Autoren

Sofia Ranchordas

DOI
- doi.org/10.5771/2747-5174-2021-1-86
- ISSN: 2747-5174
- ISSN online: 2747-5182
Zusammenfassung

Recent EU legislative and policy initiatives aim to offer flexible, innovation-friendly, and future-proof regulatory frameworks. Key examples are the EU Coordinated Plan on AI and the recently published EU AI Regulation Proposal which refer to the importance of experimenting with regulatory sandboxes so as to balance innovation in AI against its potential risks. Originally developed in the Fintech sector, regulatory sandboxes create a test bed for a selected number of innovative projects, by waiving otherwise applicable rules, guiding compliance, or customizing enforcement. Despite the burgeoning literature on regulatory sandboxes and the regulation of AI, the legal, methodological, and ethical challenges of these anticipatory or, at times, adaptive regulatory frameworks have remained understudied. This exploratory article delves into the some of the benefits and intricacies of allowing for experimental instruments in the context of the regulation of AI. This article’s contribution is twofold: first, it contextualizes the adoption of regulatory sandboxes in the broader discussion on experimental approaches to regulation; second, it offers a reflection on the steps ahead for the design and implementation of AI regulatory sandboxes.

Abstract

Recent EU legislative and policy initiatives aim to offer flexible, innovation-friendly, and future-proof regulatory frameworks. Key examples are the EU Coordinated Plan on AI and the recently published EU AI Regulation Proposal which refer to the importance of experimenting with regulatory sandboxes so as to balance innovation in AI against its potential risks. Originally developed in the Fintech sector, regulatory sandboxes create a test bed for a selected number of innovative projects, by waiving otherwise applicable rules, guiding compliance, or customizing enforcement. Despite the burgeoning literature on regulatory sandboxes and the regulation of AI, the legal, methodological, and ethical challenges of these anticipatory or, at times, adaptive regulatory frameworks have remained understudied. This exploratory article delves into the some of the benefits and intricacies of allowing for experimental instruments in the context of the regulation of AI. This article’s contribution is twofold: first, it contextualizes the adoption of regulatory sandboxes in the broader discussion on experimental approaches to regulation; second, it offers a reflection on the steps ahead for the design and implementation of AI regulatory sandboxes.
Share