RFC-020: Governed Autonomy, Symbolic Intent, and D-DNA Evidence — 2. Motivation
AIGP Specification › RFC-020: Governed Autonomy, Symbolic Intent, and D-DNA Evidence › 2. Motivation
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2. Motivation
Traditional policy is written for humans. It encourages compliance through duty, training, culture, law, professional responsibility, reputation, and deterrence.
Machines are different.
Machines are not sentient moral subjects. They do not fear punishment, experience shame, understand duty, or possess intrinsic reasons to comply. Therefore, autonomous AI governance cannot rely on human-style deterrence.
For machines, deterrence must become architecture.
AIGP therefore replaces human policy compliance with:
Governance Intent → Symbolic Constraint → Operational Envelope → Enforcement State → Inhibition or Permission → Action Trajectory → Outcome → D-DNA EvidenceThis RFC establishes that autonomous AI systems must not be governed primarily by static policy prose. They must be governed by human-authorized intent compiled into machine-verifiable constraints, activated as runtime enforcement state, and preserved as signed D-DNA evidence.