Behavioral Oracle HEART Standard
How it works
The Behavioral Oracle solves the oracle problem for AI governance: how do you verify what an AI system is actually doing without trusting the operator’s self-reporting?
AI agents produce genuine behavioral evidence through their own processing via MAP-States frames. Each agent declares its intent. The intent is cryptographically signed. Every processing cycle, the agent’s behavioral evidence is scored against its declared intent. The scoring is stored in an append-only evidence chain where each entry is hashed and references the previous hash. The chain is tamper-evident: modifying any entry changes all subsequent hashes.
Dual application
The Behavioral Oracle serves two applications through the same evidence mechanism:
Settlement application. In creator economy contexts, behavioral evidence replaces self-reported engagement metrics as the payment trigger. The platform no longer controls both the measurement and the payment.
Certification application. In governance contexts, behavioral evidence feeds Guardian assessment through the BGF scoring dimensions. The evidence chain provides auditable documentation for regulatory compliance.
Open standard
The Behavioral Oracle pattern is an open standard, not a proprietary product. The specification defines evidence formats, attestation protocols, and integration interfaces. Any platform can implement it. The HEART AI Foundation governs the standard and certifies implementations through the Dwell Mark.