Governance-Constrained Agentic AI: Blockchain-Enforced Human Oversight for Safety-Critical Wildfire Monitoring

Researchers propose a blockchain-based AI system for wildfire monitoring that requires mandatory human authorization before issuing alerts. The system uses smart contracts to enforce governance constraints on autonomous AI agents, combining UAV monitoring with cryptographic verification to prevent false alarms and ensure accountability.

• →Blockchain-enforced human oversight is integrated into AI wildfire monitoring systems to prevent false alarms and governance failures.
• →The system uses smart contracts to mandate human authorization as a state-transition requirement for AI agents.
• →Hierarchical multi-agent coordination enables dynamic reallocation of UAVs based on risk-adaptive policies.
• →Security analysis shows resistance to alert injection, replay, and tampering attacks through cryptographic verification.
• →Experimental results demonstrate limited operational overhead while maintaining detection performance and reducing false public alerts.