Foundations for the future: institution building for the purpose of artificial intelligence governance
AbstractGovernance efforts for artificial intelligence (AI) are taking on increasingly more concrete forms, drawing on a variety of approaches and instruments from hard regulation to standardisation efforts, aimed at mitigating challenges from high-risk AI systems. To implement these and other efforts, new institutions will need to be established on a national and international level. This paper sketches a blueprint of such institutions, and conducts in-depth investigations of three key components of any future AI governance institutions, exploring benefits and associated drawbacks: (1) “purpose”, relating to the institution’s overall goals and scope of work or mandate; (2) “geography”, relating to questions of participation and the reach of jurisdiction; and (3) “capacity”, the infrastructural and human make-up of the institution. Subsequently, the paper highlights noteworthy aspects of various institutional roles specifically around questions of institutional purpose, and frames what
AbstractGovernance efforts for artificial intelligence (AI) are taking on increasingly more concrete forms, drawing on a variety of approaches and instruments from hard regulation to standardisation efforts, aimed at mitigating challenges from high-risk AI systems. To implement these and other efforts, new institutions will need to be established on a national and international level. This paper sketches a blueprint of such institutions, and conducts in-depth investigations of three key components of any future AI governance institutions, exploring benefits and associated drawbacks: (1) “purpose”, relating to the institution’s overall goals and scope of work or mandate; (2) “geography”, relating to questions of participation and the reach of jurisdiction; and (3) “capacity”, the infrastructural and human make-up of the institution. Subsequently, the paper highlights noteworthy aspects of various institutional roles specifically around questions of institutional purpose, and frames what these could look like in practice, by placing these debates in a European context and proposing different iterations of a European AI Agency. Finally, conclusions and future research directions are proposed.
Executive Summary
The article 'Foundations for the future: institution building for the purpose of artificial intelligence governance' explores the necessity of establishing new institutions to effectively govern artificial intelligence (AI) on both national and international levels. It provides a comprehensive blueprint for such institutions, focusing on three key components: purpose, geography, and capacity. The article delves into the benefits and drawbacks of each component and proposes a European AI Agency as a practical example. It concludes with future research directions, highlighting the importance of robust institutional frameworks for AI governance.
Key Points
- ▸ The need for new institutions to govern AI effectively.
- ▸ Three key components for AI governance institutions: purpose, geography, and capacity.
- ▸ Proposal for a European AI Agency as a practical example.
- ▸ Future research directions in AI governance.
Merits
Comprehensive Analysis
The article provides a thorough analysis of the components necessary for effective AI governance institutions, offering a well-rounded perspective.
Practical Proposal
The proposal for a European AI Agency is a concrete and actionable suggestion that can be implemented in practice.
Balanced Perspective
The article balances the benefits and drawbacks of each component, providing a nuanced understanding of the challenges and opportunities.
Demerits
Limited Scope
The focus on a European context may limit the applicability of the proposed solutions to other regions.
Theoretical Nature
While the article provides a theoretical framework, it lacks detailed case studies or empirical data to support its proposals.
Future Research Directions
The article acknowledges the need for further research but does not provide a clear roadmap or prioritization of research areas.
Expert Commentary
The article 'Foundations for the future: institution building for the purpose of artificial intelligence governance' presents a timely and critical analysis of the need for robust institutional frameworks to govern AI. The authors' focus on purpose, geography, and capacity as key components for effective AI governance institutions is both insightful and practical. The proposal for a European AI Agency serves as a concrete example of how such institutions can be structured and implemented. However, the article's emphasis on the European context may limit its broader applicability. Additionally, while the theoretical framework is well-developed, the lack of empirical data and case studies weakens the practical implications of the proposals. Future research should prioritize empirical studies and explore the ethical and international dimensions of AI governance to provide a more comprehensive understanding of the challenges and opportunities in this rapidly evolving field.
Recommendations
- ✓ Conduct empirical studies and case analyses to support the theoretical framework proposed in the article.
- ✓ Explore the ethical implications of AI governance and integrate these considerations into institutional design.