• Mandate and scope: Set policy and standards, triage proposals by risk, review high-risk uses, oversee incidents and monitoring, and report AI risk to senior leaders. Define coverage for internally built systems, vendor tools, models, and use cases, with a way to expand the scope as organizational needs change.^{[11][12][13][14]}
• Decision rights: Identify what the committee may approve, reject, defer, or recommend for executive or board decision. Specify approval thresholds, escalation routes, and who may restrict or stop AI-driven processes.^[15][16]
• Accountability: Name the people responsible for proposing, assessing, approving, operating, monitoring, and escalating each system. A RACI matrix, which identifies who is responsible, accountable, consulted, and informed, can make these assignments visible.^[17][18]
• Records and reporting: Require decision rationales, minutes, conflicts and recusals, incidents, remediation actions, and a system inventory. Set the reporting audience and schedule, and cover portfolio status, risk posture, incidents, audit findings, and escalations.^[19][20][21]

AI GOVERNANCE / ETHICS COMMITTEE CHARTER

Purpose and mandate:
[Policies, oversight responsibilities, and intended outcomes]

Scope:
[Systems, vendors, use cases, lifecycle stages, and risk triggers covered]

Authority and decision rights:
[Advisory / approval / pause authority; delegated decisions; quorum; voting; override authority]

Membership and appointments:
[Roles, selection criteria, terms or review cycle, alternates, external advisers]

Accountability:
[Owner for proposal, assessment, approval, operation, monitoring, incident response]

Review and escalation:
[Risk tiers; required reviewers; escalation triggers; urgent review route]

Conflicts and records:
[Disclosure, recusal, minutes, decision rationale, dissent, evidence retention]

Reporting:
[Audience, schedule, portfolio and risk information, incident and remediation updates]

Approval and maintenance:
[Approving authority, effective date, review date, amendment process]

1. Intake: Before development or procurement, collect the purpose, owner, intended users, data sources and sensitivity, model or provider, deployment context, and whether the system makes or informs decisions. Register the workflow and downstream uses, not just the model.^[41][42]
2. Tier and route: Consider severity, likelihood, reversibility, affected people, decision impact and autonomy, data sensitivity, failure consequences, and ability to intervene. Route high-impact uses, including decisions affecting rights, health, finances, or legal status, to rigorous review; direct privacy, security, and bias questions to the relevant specialists. Treat prohibited uses as a stop, not as a risk tier that controls can automatically clear.^{[43][44][45][46]}
3. Assess: Set evaluation criteria and acceptable thresholds before testing. Review data provenance and quality, relevant performance, fairness, robustness and security, privacy and safety, explainability where needed, and human oversight and recourse. For high-risk uses, bring in relevant legal, privacy, security, ethics, and domain reviewers; use independent validation where warranted and test the integrated workflow.^{[47][48][49][50]}
4. Decide and deploy: Record the risk rationale, intended and prohibited uses, data lineage, test results, limitations, mitigations, monitoring plan, owner, reviewers, decision, exceptions, and approved model or system version. Unresolved material risks mean reject, defer, or mitigate and retest. Define rollback conditions, and require re-review when material aspects such as use, users, data access, provider, model version, or operating context change.^{[51][52][53][54][55]}
5. Monitor and retire: Track approval measures plus drift, fairness, safety, misuse, unexpected behavior, and use outside scope. Set tier-based monitoring and alert thresholds, assign responders, and schedule reviews. When retiring a system, document the reason and date, manage dependent transitions, and retain the governance evidence trail.^[56][57][58]

• Escalate to senior leadership or the board when the matter exceeds the committee’s authority or requires an executive or board decision; specify that route and the committee’s reporting line in the charter.^[62][63]
• Escalate to the appropriate specialist leads when an incident or assessment involves security, privacy, legal, compliance, or business impacts; identify response roles, communication paths, and evidence handling in advance.^[64][65]
• After containment, investigate and close the loop: document root cause, remediation, communications, and follow-up; feed the findings back into risk tiers, controls, and approval criteria. Define whether executive, board, or regulator notification is required under the organization’s circumstances. The research does not establish a universal incident threshold or response deadline, so set these in advance for the organization and applicable obligations.^[66][67]

AI USE-CASE INTAKE
System / use case:
Business owner and operational owner:
Purpose, users, and workflow:
Model / provider and version:
Data sources, sensitivity, and lineage:
Decisions made or informed; affected people:
Risk tier and rationale:
Required reviewers and evidence:

REVIEW DECISION
Criteria and thresholds set before testing:
Evaluation results and known limitations:
Mitigations and residual risks:
Decision: approve / reject / defer / mitigate and retest
Authorized decision-maker; reviewers; date:
Approved version, scope, and prohibited uses:
Monitoring plan, thresholds, and rollback conditions:
Exceptions and follow-up actions:

INCIDENT RECORD
Date, system, reporter, and severity:
Impact, affected people, and evidence preserved:
Containment action and operational owner:
Leads notified; executive / board / regulator notification considered:
Root cause, remediation, and communications:
Reassessment, control changes, and closure owner: