Governance Frameworks for Real-World Agentic Systems
Develop comprehensive governance frameworks for agentic reasoning systems that integrate model-level alignment, agent-level policy controls, and ecosystem-level interaction oversight, and demonstrate their effectiveness under realistic deployment conditions.
References
A central open problem is to develop governance frameworks that jointly address model-level alignment, agent-level policies, and ecosystem-level interactions under realistic deployment conditions.
Four open problems bound what the framework can currently guarantee. Sensor-manipulation adversaries who target both V2X messages and the physical observations used to validate them can evade Tier 1 cross-modal reasoning - closing this gap requires hardware-rooted sensor attestation that current automotive standards do not yet specify. Certificate propagation latency creates a revocation window that behavioral flagging only partially closes, and resolving it requires changes at the SCMS standards level rather than the detection layer. The autonomous execution of Drop and Quarantine responses operates without regulatory authorization frameworks that do not yet exist, and near-term deployment may require constraining autonomous action to Escalation-only pending future standardization.