A template for establishing organizational AI governance structure, principles, roles, and decision rights. Adapt to your organization's context, scale, and regulatory environment.
This charter establishes the governance framework for all artificial intelligence and machine learning systems developed, deployed, or procured by [Organization Name]. It defines the principles, roles, decision rights, escalation paths, and review cadence that ensure AI systems operate safely, ethically, and in alignment with organizational objectives and regulatory requirements.
This charter applies to:
Key Principle: If a system uses AI to influence a decision, generate content, or take an action — it is in scope. No exceptions for "internal only" or "low risk" classifications without formal risk assessment.
This charter is designed to be compatible with, and support compliance under:
All AI activities under this charter are governed by five principles. These principles are not aspirational statements — they are decision-making criteria. When in doubt about an AI deployment decision, apply these principles in order.
No AI system shall be deployed or maintained in production if it poses a known, unmitigated risk to human safety, wellbeing, or rights. Safety concerns override speed, cost, and competitive considerations. If a system cannot be made safe, it shall not be deployed.
All AI systems shall be documented, explainable to the degree required by their risk tier, and disclosed to affected stakeholders. Users interacting with AI systems shall be informed that they are doing so. Decision logic shall be auditable. "Black box" deployments require explicit senior leadership approval with documented justification.
Every AI system in the organizational inventory shall have a named governance owner — a specific individual (not a committee, not a team) who is accountable for its compliance, performance, and risk profile. Accountability cannot be delegated to the AI system itself.
AI systems shall be tested for bias and disparate impact before deployment and monitored for drift after deployment. Fairness is not a subjective judgment — it is measured through defined metrics (demographic parity, equalized odds, or domain-appropriate alternatives) with documented thresholds and remediation triggers.
Governance requirements shall be proportional to the risk tier of the AI system. A Tier 1 (low-risk) recommendation engine does not require the same oversight as a Tier 3 (high-risk) clinical decision support system. Over-governance is waste. Under-governance is liability. The risk tier determines the right level.
| Role | Responsibilities | Decision Rights |
|---|---|---|
| Chief AI Officer (CAIO) [Name / TBD] |
Sets AI governance strategy. Reports to the Board on AI risk posture. Owns the AI system inventory. Chairs the Governance Committee. Ensures regulatory compliance across all AI systems. | Approve or reject Tier 3 (high-risk) AI deployments. Authorize exceptions to governance policies. Set governance budget allocation. Approve incident response actions exceeding $[threshold]. |
| AI Governance Committee Cross-functional |
Reviews all Tier 2 and Tier 3 AI deployments. Monitors governance KPIs. Conducts quarterly risk assessments. Reviews incident reports and remediation actions. Maintains the AI Risk Register. | Approve Tier 2 (medium-risk) deployments. Recommend policy changes to CAIO. Escalate risk concerns to Board. Set monitoring frequency by risk tier. |
| Business Unit AI Leads Per department |
Serve as governance owner for AI systems within their business unit. Conduct initial risk assessments. Ensure team compliance with governance policies. Report incidents within 24 hours. | Approve Tier 1 (low-risk) deployments. Assign risk tiers for new AI use cases (subject to Committee review for Tier 2+). Authorize model retraining within approved parameters. |
| AI Engineering Team Technical |
Implement governance requirements in AI systems. Conduct bias testing, model validation, and documentation. Maintain monitoring infrastructure. Execute remediation actions. | Technical implementation decisions within approved governance framework. Recommend risk tier classifications. Flag technical risks for Committee review. |
| Board of Directors Oversight |
Receives quarterly AI governance reports from CAIO. Ensures AI governance is integrated into enterprise risk management. Approves AI governance budget and charter amendments. | Approve charter amendments. Set risk appetite for AI deployments. Approve AI governance budget above $[threshold]. Mandate external audits. |
Escalation paths are defined by severity. Every AI incident, risk discovery, or governance concern follows the path below. Timeliness requirements are non-negotiable.
| Severity | Definition | Escalation Path | Timeline |
|---|---|---|---|
| Low | Minor model performance degradation, non-critical documentation gap, internal process deviation | BU AI Lead → AI Engineering | Resolve within 5 business days |
| Medium | Bias detected in non-critical system, compliance gap identified, customer complaint related to AI output | BU AI Lead → Governance Committee | Report within 24 hours. Remediation plan within 5 days. |
| High | Bias in high-risk system, data breach involving AI, regulatory inquiry, public-facing AI failure | BU AI Lead → CAIO → Legal → Board (if required) | Report within 4 hours. System suspended pending review. Board notification within 24 hours. |
| Critical | Active harm to individuals, regulatory enforcement action, litigation filed, safety incident | Immediate → CAIO + Legal + CEO → Board | Immediate system shutdown. Board notification within 2 hours. External counsel within 4 hours. |
Kill Switch Protocol: Any individual listed in the Roles table above has the authority to suspend an AI system immediately if they believe it poses an imminent risk. Suspension first, investigation second. No approval required for emergency shutdown.
| Activity | Frequency | Owner | Output |
|---|---|---|---|
| AI System Inventory Update | Monthly | BU AI Leads | Updated inventory with new systems, decommissioned systems, and risk tier changes |
| Governance KPI Review | Monthly | Governance Committee | Dashboard covering incident rate, audit completion, compliance status, drift detection |
| Risk Register Update | Quarterly | CAIO + Committee | Updated risk register with new risks, changed ratings, and remediation progress |
| Board Governance Report | Quarterly | CAIO | Executive summary: risk posture, incidents, governance investment, regulatory changes |
| Bias Audit (Tier 3 systems) | Quarterly | AI Engineering + External | Bias testing results, drift analysis, remediation actions |
| Bias Audit (Tier 2 systems) | Semi-annually | AI Engineering | Bias testing results, performance metrics |
| Charter Review | Annually | CAIO + Board | Updated charter reflecting regulatory changes, organizational changes, lessons learned |
| External Governance Audit | Annually | Board | Independent assessment of governance maturity and compliance posture |
This charter is effective upon approval by the signatories below. Amendments require Board approval and follow the annual review cadence unless an emergency amendment is triggered by a Critical-severity incident.
| Role | Name | Signature | Date |
|---|---|---|---|
| Chief Executive Officer | |||
| Chief AI Officer | |||
| General Counsel | |||
| Board Chair / Committee Chair |