Paulo Carvao

Slavina Ancheva

Yam Atir

Shaurya Jeloka

Brian Zhou

We present ACO-ToT, an algorithm that leverages fine-tuned LLM "ants" guided by ant colony optimization to efficiently uncover optimal reasoning paths for complex problems.

The accelerated adoption of Artificial Intelligence marks a pivotal moment in technological progress. AI is reshaping industries, redefining labor markets, and prompting critical societal reflections on intelligence, reasoning, and the dissemination of information. While AI offers opportunities for economic growth, it also presents risks that must be managed to avoid adverse societal and geopolitical outcomes, making effective and transparent governance more urgent than ever.

This paper explores the potential of dynamic, collaborative public-private governance to foster safe innovation. Drawing from primary research, including interviews with tech industry leaders, U.S. Members of Congress, and staff, and an analysis of 150 AI-related bills introduced by the 118th U.S. Congress, this work identifies emerging areas of alignment between policymakers and industry stakeholders. It also highlights opportunities for a unified national approach, despite the challenges of a fragmented legislative environment.

The authors propose a dynamic governance approach that brings government and industry together while combining the foresight of ex-ante measures with the adaptability needed to address technological advancements. Coupled with existing ex-post mechanisms, the Dynamic Governance Model creates a comprehensive framework to promote competition, innovation, and accountability. It represents a policy-agnostic extra-regulatory framework, including a public-private partnership for standards setting and a market-based ecosystem for audit and compliance.

Ultimately, this governance approach can provide regulatory clarity and predictability, fostering an environment where businesses and innovation thrive while mitigating the risks inherent to AI’s transformative power.

AI at the Brink: Preventing the Subversion of Democracy

Beyond AI regulation: How government and industry can team up to make the technology safer without hindering innovation

A Dynamic Governance Model for AI

The 3 major decisions the next Congress must make about AI policy

Governance at a Crossroads: Artificial Intelligence and the Future of Innovation in America

Papers coauthored with Paulo Carvao

Publications

Governance at a Crossroads: Artificial Intelligence and the Future of Innovation in America