Regulating Artificial Intelligence in a Fragmented World — Regula

Regulating Artificial Intelligence in a Fragmented World — Regula

https://natlawreview.com/press-releases/regulating-artificial-intelligence-fragmented-world-regulatingai-podcast

Publish Date: 2026-02-09 08:04:00

Source Domain: natlawreview.com

• AI Governance vs. Rapid AI Development:

  • AI is evolving faster than accompanying regulations can keep up, creating tension in effective governance.
  • Sanjay Puri leads the Regulating AI podcast, addressing these challenges through discussions in Davos and the UN General Assembly.

• Inclusive Governing Approach:

  • Governance is framed as an all-encompassing process affecting societies and democracies, not just institutions.
  • Participants emphasize that diplomacy, policy, education, healthcare, and industry all need to engage in the conversation.

• Fragmentation in Practice:

  • While fundamental principles like accountability and transparency can often align, differences often emerge in execution.
  • Dr. Jess Coner illustrates four zones of AI maturity, emphasizing that convergence is a continuous journey that relies on literacy and foundational understanding.

• Coalitions of Willing:

  • Given rapid AI advancements, waiting for universal consensus may be inefficient; thus, the concept of coalitions of willing is proposed.
  • Such coalitions can prototype governance models that may be adopted by others, stressing shared constraints and responsibilities across diverse political systems.

• The EU AI Act:

  • The conversation includes insights on the EU AI Act, emphasizing the need to balance innovation with safeguarding democratic freedoms.
  • Brando Benifei highlights that certain AI uses, like mass biometric surveillance and AI-only predictive policing, are explicitly banned, and regulation must remain flexible.

• Role of Small States and Industry:

  • Smaller states are seen as influential in AI governance due to their agility and neutral role.
  • Collaboration between government and industry is underscored as crucial; they need governance that bridges profit-driven corporations and mission-driven governments.

• Responsive Governance:

  • Ultimately, Dr. Jess Coner emphasizes that governance should be responsive rather than restrictive—knowing when to slow down, speed up, or become more responsive.
  • The success of democratic AI governance relies on pace-matching, coalition-building, and shared responsibility.