Public Records and AI Template
Use this template to document how an organization manages public-records, retention, transparency, disclosure, and documentation responsibilities related to AI-assisted work.
Records and AI Profile
Organization: [Organization Name]
Policy or Guidance Name: [Public Records and AI Guidance]
Concept ID: [namespace:public_records_ai]
Policy Owner: [Department, Clerk, Legal, Records Manager, or IT]
Audience: Staff, managers, legal counsel, records officers, AI users
Status: Draft
Last Reviewed: [Month Year]
Purpose
Explain how the organization will identify, preserve, review, disclose, and manage records created through or connected to AI-enabled systems.
Scope
This guidance may apply to:
AI-generated drafts
Prompts entered by staff
Uploaded documents
Chat histories
AI-assisted reports
Public-facing chatbot interactions
Vendor audit logs
System-generated recommendations
AI-related approval records
AI incident records
Core Principles
AI use does not remove records-management obligations.
Staff remain responsible for preserving required records.
Records should be maintained according to applicable retention rules.
Sensitive information should not be entered into unapproved AI systems.
Public-facing AI interactions may require additional review and retention controls.
Vendor contracts should support export, retention, deletion, and audit needs.
Record Categories
| Record Type | Example | Retention or Handling Requirement |
| Prompt | Staff request entered into an AI tool | [Requirement] |
| Output | AI-generated draft memo or response | [Requirement] |
| Uploaded File | Policy, spreadsheet, or public document uploaded to AI tool | [Requirement] |
| Chat History | User interaction with an internal or public AI assistant | [Requirement] |
| Approval Record | Decision approving AI use case or vendor | [Requirement] |
| Audit Log | System access or AI activity record | [Requirement] |
| Incident Record | Harmful output, data issue, or misuse report | [Requirement] |
Staff Responsibilities
Staff should:
Use only approved AI tools for agency work.
Avoid entering confidential, protected, or restricted information into unapproved systems.
Preserve work products when required.
Follow department retention schedules.
Escalate uncertain records questions to records-management, legal, or supervisory staff.
Review AI-generated content before relying on or releasing it.
Does the platform retain prompts, uploaded files, or outputs?
Can records be exported?
Can records be searched and retrieved?
Can data be deleted according to retention rules?
Are audit logs available?
Does the vendor use organizational data for model training?
Can the organization respond to a records request involving AI use?
Are public-facing AI interactions captured and retained?
Public-Facing AI Requirements
For public-facing AI assistants, document:
The purpose of the assistant
The information sources used
Human review requirements
Disclaimer language
Escalation paths
Record-retention approach
Accessibility expectations
Monitoring and quality-review practices
Required Documentation
Approved AI use case
Data categories involved
Retention guidance
Vendor contract terms
Audit-log availability
Approval records
Incident procedures
Staff training materials
Review schedule
Revision History
| Version | Date | Change | Owner |
| 0.1 | [Month Year] | Initial draft | [Name or role] |