Economic Foundations of AI Certification
Developing a "safety-through-certification" framework to address the urgent need for robust AI oversight.
This project addresses the urgent need for robust AI oversight as models demonstrate increasingly superhuman yet unpredictable capabilities. While current regulations focus on technical malfunctions, they lack a framework for certifying AI in specific professional roles. By integrating economic theory and computer science, the project team will develop a “safety-through-certification” framework that evaluates economic rationality and models multiagent interactions using behavioral game theory. Ultimately, the project provides a blueprint for domain-specific certification standards, ensuring agentic AI remains accountable and aligned with human welfare across sectors like healthcare and finance.
Collaborators
Kevin Leyton-Brown
Jesse Perla
Serena Wang

