Show pageOld revisionsBack to top This page is read only. You can view the source, but not change it. Ask your administrator if you think this is wrong. ====== AI Governance Template ====== Use this template to help an organization establish a practical AI governance framework. ===== Governance Record ===== ^ Field ^ Value ^ | Organization | [Organization Name] | | Framework Name | [AI Governance Framework Name] | | Version | 0.1 | | Status | Draft | | Executive Sponsor | [Name or Role] | | Program Owner | [Department or Person] | | Audience | Leadership, IT, legal, privacy, procurement, staff | | Last Reviewed | [Month Year] | ===== Purpose ===== This framework establishes how the organization evaluates, approves, uses, monitors, and governs artificial intelligence tools and AI-enabled services. ===== Governance Principles ===== * Human accountability remains in place. * AI outputs must be reviewed when they affect important decisions. * Sensitive information must be protected. * AI use should support transparency, fairness, accessibility, and public trust. * Approved tools and use cases must be documented. * Risks must be identified before deployment. ===== Governance Structure ===== ^ Role ^ Responsibility ^ | Executive Sponsor | Provides strategic direction and executive accountability | | AI Governance Lead | Coordinates policy, approvals, and ongoing review | | IT / Security | Reviews technical security, access, and system integration | | Legal / Privacy | Reviews legal, records, privacy, and regulatory concerns | | Procurement | Reviews vendor requirements and contract protections | | Department Owner | Defines business need, implementation plan, and local controls | | Staff User | Uses approved tools responsibly and follows agency guidance | ===== Approved AI Use Cases ===== List the categories of AI use that are generally allowed. * Drafting and editing routine communications * Summarizing approved documents * Creating training outlines * Supporting internal knowledge search * Drafting checklists and workflow guides * Creating first drafts for human review ===== Restricted or Prohibited Uses ===== List activities that require elevated review or should not be used without formal authorization. * Eligibility or benefits determinations * Employment decisions * Enforcement or disciplinary decisions * Legal conclusions or legal advice * Safety-critical recommendations * Uploading confidential or protected information into unapproved tools * Fully automated public decisions without meaningful human review ===== AI Use Case Approval Process ===== ==== Step 1: Define the Business Need ==== Describe the problem, service, workflow, or outcome the proposed AI use case is intended to support. ==== Step 2: Assess Risk ==== Identify data, privacy, security, legal, operational, fairness, and public-trust considerations. ==== Step 3: Review the Tool or Vendor ==== Confirm that the proposed tool meets security, privacy, accessibility, data ownership, and procurement requirements. ==== Step 4: Approve or Modify the Use Case ==== Document whether the use case is approved, denied, approved with conditions, or returned for revision. ==== Step 5: Monitor and Review ==== Review performance, incidents, feedback, changes in vendor terms, and continued suitability over time. ===== Required Documentation ===== * AI use case description * Responsible owner * Risk assessment * Data categories involved * Approval decision * Required safeguards * Training requirements * Vendor review record * Review date * Incident or escalation record, if applicable ===== Related OKF Resources ===== * [[government:ai_governance|Example: AI Governance Concept]] * [[government:ai_risk_assessment|Example: AI Risk Assessment]] * [[government:ai_procurement|Example: AI Procurement]] * [[templates:knowledge_concept|OKF Knowledge Concept Template]] * [[templates:knowledge_bundle|OKF Knowledge Bundle Template]] * [[templates:start|Return to OKF Templates]] templates/ai_governance.txt Last modified: 2026/06/26 04:29by leonidas Log In