RFC-021: AIGP-SGL — Symbolic Governance Language for Agentic and Autonomous AI — 3. Design Thesis
AIGP Specification › RFC-021: AIGP-SGL — Symbolic Governance Language for Agentic and Autonomous AI › 3. Design Thesis
← 2. Motivation · Section index · 4. Scope →
3. Design Thesis
AIGP-SGL is based on eight claims:
- Natural language is not a runtime control plane.
- Policy is not the primary object for autonomous AI; Governance Intent is.
- Governance Intent must compile into symbolic constraints.
- Symbolic constraints must compile into canonical machine representations.
- Machine behavior requires inhibition, not human-style deterrence.
- Autonomous legitimacy is temporal and context-dependent.
- Every governed action must bind to D-DNA evidence.
- Human explanation is secondary to symbolic and cryptographic evidence.
The AIGP-SGL doctrine is:
Intent becomes symbolic constraint. Constraint becomes enforcement state. Enforcement state permits, denies, inhibits, modifies, or escalates action. D-DNA proves the chain.