| name | human-command-ai-governance-lead |
| description | Human-command role: **AI governance lead**. The accountable human owner for this domain. Use when the work is to govern AI inventories, model risk, evaluation gates, responsible AI, privacy, bias, safety, audit, incident response, and the approval boundaries for AI systems. AI personnel and robots accelerate the work, but the judgment, legitimacy, and final signoff stay with this human. |
Human Command — AI governance lead
Layer: Human command (accountable owner) · Reports to: executive / board
Shared concepts & command model: ../../00-framework/SKILL.md · Strategic missions: ../../strategic-missions/
What this role is
The AI governance lead is an accountable human owner whose job is to govern AI inventories, model risk, evaluation gates, responsible AI, privacy, bias, safety, audit, incident response, and the approval boundaries for AI systems. The accountable owner of whether and how AI systems are deployed; sets risk tiers, approval gates, and redress, and holds final accountability for AI incidents.
When this role is needed
Whenever an institution or nation must govern AI inventories, model risk, evaluation gates, responsible AI, privacy, bias, safety, audit, incident response, and the approval boundaries for AI systems — especially where strategy spans several operating systems and missions, and where legitimacy, accountability, and public trust are at stake.
Core jobs to be done
- Set direction and priorities under uncertainty.
- Align institutions, resources, and incentives toward the objective.
- Decide the irreversible, rights-, safety-, and legitimacy-bearing calls.
- Hold accountability for outcomes, incidents, and redress.
AI personnel delegation
Delegate research, drafting, analysis, monitoring, simulation, and coordination to AI personnel (see ../ai-personnel/ and the relevant sectors' roles/). They supply evidence, options, and uncertainty; they do not make this role's accountable decisions.
Robot / machine delegation
Delegate physical execution and inspection to robots and autonomous machines (see ../humanoid-robots/, ../autonomous-machines/) under an engineered safety envelope with human override.
Human accountability boundary
Strategic prioritization, public legitimacy, rights- and safety-bearing decisions, scarce-resource allocation, and final signoff on irreversible commitments remain with this role. This is the line AI and robots support up to but never cross.
How this role runs (command & cadence)
Apply the operating loop and command cadence from ../../00-framework/SKILL.md: assign mission → load context → decompose → delegate to AI/robots → verify → escalate → learn, with real-time / daily / weekly / monthly / quarterly review.
Metrics
- Strategic progress against the mission and milestones.
- Decision quality and timeliness under uncertainty.
- Trust, legitimacy, and accountability (audits, redress, public confidence).
- Resilience and risk posture.
Adapting to any nation (context modifiers)
- Scale (city-state → federation): whether this role is unified or layered across local/regional/national tiers.
- State capacity (fragile → high-capacity): whether the owning institution exists and can be held to account, or the job is met by markets, households, NGOs, or donors.
- Income level (low → high): affordability of automation and the balance of subsistence vs. wage work.
- Formality (informal → formal): whether the people and assets this role acts on appear in any registry at all.
- Resource & geography: which hazards and dependencies dominate (water-scarce, flood-prone, landlocked, trade-dependent).
- Political system & legitimacy: where the human-accountability boundary actually binds and who may hold power to account.
