RFC-024: D-DNA for Governed Autonomy — 1. Abstract
AIGP Specification › RFC-024: D-DNA for Governed Autonomy › 1. Abstract
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RFC-024: D-DNA for Governed Autonomy
PRIVATE AND PROPRIETARY — NOT A PUBLIC RFC. Owned by Kanjani AI Research & Causum. See NOTICE.md.
Status: Draft Version: 0.1 Protocol Family: AIGP Depends On: RFC-020 Governed Autonomy, Symbolic Intent, and D-DNA Evidence; RFC-021 AIGP-SGL; RFC-022 AIGP-VGL; RFC-023 ENFORCE Broadcast Related RFCs: RFC-025 Cognitive Harm Governance Applies To: Agentic AI, autonomous AI, embodied AI, drones, robotics, autonomous vehicles, autonomous aircraft components, cyber-physical systems, hybrid human-machine actors, force-capable systems, and cognitive-safety governed systems
1. Abstract
This RFC defines D-DNA for Governed Autonomy.
D-DNA is the signed evidence lineage of governed AI behavior. In the AIGP autonomy model, D-DNA records the authority, intent, symbolic constraint, runtime context, enforcement state, decision, action, outcome, and prior event chain that together establish whether an autonomous or agentic action was legitimate at the time it occurred.
D-DNA is not merely an audit log.
D-DNA is the evidence genome of governed autonomy.
It allows AIGP to answer:
Who acted?Under what governance intent?Under what authority?Inside what operational envelope?Against what symbolic constraint?With what runtime context?What decision was made?What action occurred?What consequence followed?What evidence proves the chain?The central principle is:
Autonomous action is not governed unless its authority, constraint, decision, action, and consequence are preserved as D-DNA signed temporal evidence.