RFC 0004 — Human Authority Model
Status: Draft Author: Martín Nicolás Sánchez Morales Created: 2026
Summary
This RFC defines the human authority model used in Janus governance systems.
Janus requires that certain decisions involving accountability, interpretation, or escalation remain under explicit human authority.
Such decisions are recorded using the canonical governance event:
HUMAN_DECISION
Motivation
AI-assisted systems may produce analysis, recommendations, or automated actions.
However, institutional accountability cannot be delegated to automated systems.
Janus therefore defines a governance model in which human authorities retain final responsibility for decisions that require accountability.
Specification
Human authority
When a governance process requires explicit human accountability, the system MUST record a governance event:
HUMAN_DECISION
The event represents the formal acknowledgment that a designated human authority has made, confirmed, or assumed responsibility for a decision.
HUMAN_DECISION is a governance event produced by governance evaluation flows when explicit human accountability is required, regardless of whether the evaluation is based on E+ or E− evidence.
Event recording
HUMAN_DECISION events MUST be written to:
AUDIT_LOG
The event SHOULD reference:
- the triggering governance context
- any supporting evidence (E+ or E−)
- any relevant governance events (e.g., OMISSION_DETECTED)
AI-assisted interpretation
AI systems MAY assist in analysis, detection, or recommendation.
However:
AI outputs MUST NOT substitute for HUMAN_DECISION when explicit accountability is required.
Rationale
Governance systems must maintain a clear boundary between automated analysis and accountable decision-making.
The HUMAN_DECISION event ensures that final authority remains explicit and auditable.
Backwards compatibility
Not applicable (initial human authority specification).
Security considerations
Risks related to human authority include:
- unauthorized human decision recording
- ambiguous accountability assignments
- automation incorrectly bypassing required human decisions
Implementations must ensure that governance flows correctly enforce human authority requirements.
License
MIT License