Source: The Regulatory Review

The Regulatory Review features an article by Gabriel X. Nay and Enrique Paredes discussing the urgent need for regulatory institutions to evolve in response to the rapid expansion of artificial intelligence technologies. The authors argue that traditional regulatory models—characterized by slow, rigid procedures—are poorly suited for addressing the unpredictable and dynamic nature of AI development.

The article explores how public administration can adapt by becoming more proactive, experimental, and anticipatory. It suggests that regulators should integrate interdisciplinary expertise, use digital tools to model policy outcomes, and build institutional flexibility to act in real time. The authors advocate for governance strategies that are adaptive and iterative, rather than linear and static.

Importantly, the piece calls for a balance between innovation and oversight, warning that excessive caution could stifle progress, while regulatory inaction could allow widespread harm. The authors conclude by emphasizing the need for a new regulatory ethos that combines ethical commitment with institutional agility to safeguard democratic values in the AI era.