Proposal for Coordinated Cross-Border Governance of Artificial Intelligence (AI)
Title: Global Efforts Needed for Effective Governance of Artificial Intelligence
Artificial Intelligence (AI) is rapidly advancing and is set to revolutionize various industries, but with great opportunities come significant risks. To effectively govern AI, coordinated cross-border efforts are essential to build expertise, dispel misconceptions, foster innovation, and align global safety priorities. Oscar Borgogno and Alessandra Perrazzelli propose a structured dialogue and a bottom-up approach to avoid redundancy and legal unpredictability in AI governance.
Critics often argue that regulations stifle innovation, but Anu Bradford highlights that attributing the technological gap between the US and the EU solely to regulatory differences is oversimplified. Structural challenges in the EU, such as the lack of a common fiscal policy and a culture of risk-taking, hinder innovation. However, well-designed regulations can foster trust in markets, protect human rights, and ensure safety standards.
Governance of AI is a choice that policymakers must make, as Daron Acemoglu and Simon Johnson emphasize. Regulatory frameworks in industries like pharmaceuticals ensure safety and build public trust. Similarly, AI requires tailored supervision to prevent misuse, ensure healthy competition, and maximize societal benefits.
The diversity of approaches to AI regulation globally highlights the need for a common understanding among enforcers and supervisors. Without globally shared expertise, there is a risk of unsafe AI deployment. Therefore, a shared monitoring scheme is crucial to develop best practices and address cross-industry challenges.
National frameworks that facilitate dialogue and coordination between market supervisors are essential for developing institutional expertise and laying the groundwork for international understanding. The EU’s AI Act and other sectoral regulations demonstrate the feasibility of institutional alignment.
Coordinated efforts at the transnational level, such as between the UK and the EU, can strengthen dialogue and exchange best practices. International institutions like the UN Secretary-General’s AI Advisory Body and the OECD play a crucial role in facilitating global dialogue on AI risks.
In conclusion, a cross-supervisory AI monitoring scheme is necessary to enforce regulations coherently within and across borders. Through institutional coordination and a balanced approach to AI supervision, the challenges and opportunities of AI innovation can be navigated to ensure benefits for all of humanity.
