Economic Foundations of AI Certification

Developing a "safety-through-certification" framework to address the urgent need for robust AI oversight.

| April 11, 2026
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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