Signal Mechanism-Design Model Proposes Governing AI Agents Through Compute Budgets

Summary

A preprint by Praphul Chandra, Sujit Gujar, and Ganesh Ghalme sets out a formal mechanism-design model for continuously governing a deployed AI agent through participation. The model rests on the principle that governance should control an agent through resource allocation, making authorization self-enforcing via a compute budget rather than relying on after-the-fact enforcement or trust. The authors place this within a broader 'Safe AI' paradigm that treats compute as an effective governance lever. Because an agent's actions are bounded by the resources it is granted, the central claim is that governance can act proactively instead of reactively. The work adds a theoretical framework to the emerging discussion of compute governance as AI agents are deployed with growing autonomy.