RFC-022: AIGP-VGL — Visual Glyph Governance Profile — 1. Abstract
AIGP Specification › RFC-022: AIGP-VGL — Visual Glyph Governance Profile › 1. Abstract
Section index · 2. Motivation →
RFC-022: AIGP-VGL — Visual Glyph Governance Profile
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 — Symbolic Governance Language Related RFCs: RFC-023 ENFORCE Broadcast; RFC-024 D-DNA for Governed Autonomy; 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, first responder systems, battlefield systems, and degraded-communications environments
1. Abstract
AIGP-VGL defines a visual glyph governance profile for agentic and autonomous AI systems.
AIGP-SGL defines symbolic governance statements. AIGP-VGL defines how selected SGL governance state may be projected into compact, visual, machine-readable glyph frames.
AIGP-VGL exists because autonomous systems may operate in environments where normal communication is unavailable, unreliable, degraded, contested, delayed, bandwidth-constrained, or too slow for safe coordination.
In such conditions, autonomous actors may need to expose their governance state visually so that other actors can observe, parse, corroborate, challenge, avoid, assist, or rebroadcast that state.
The central principle is:
AIGP-VGL is not the source of governance truth. It is a visual projection of signed governance state.
The source of truth remains:
Governance Intent+ AIGP-SGL canonical statement+ canonical AST+ runtime enforcement state+ D-DNA signed evidence+ local sensor corroboration