RFC-020: Governed Autonomy, Symbolic Intent, and D-DNA Evidence — 23. Scientific Contribution

AIGP Specification › RFC-020: Governed Autonomy, Symbolic Intent, and D-DNA Evidence › 23. Scientific Contribution

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23. Scientific Contribution

This RFC does not claim to invent policy languages, access control, robotics safety, runtime assurance, or AI ethics.

Instead, AIGP contributes a protocol-level synthesis:

human-authorized intent
→ symbolic machine-verifiable constraints
→ runtime enforcement state
→ redundant distributed enforcement
→ architectural inhibition
→ governed action trajectory
→ D-DNA signed evidence
→ temporal replay

The contribution is the binding of governance, autonomy, enforcement, evidence, and replay into one protocol model.

This model is testable through:

conformance tests
simulation
red-team scenarios
runtime monitor evaluation
D-DNA replay validation
peer-state conflict testing
cognitive harm trajectory testing
force-capability denial testing

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