An AI governance checklist is a practical list of controls for keeping AI-influenced decisions defensible. This one is organized by the four pillars of Digital Information Governance.
Use this checklist to test whether your AI-influenced decisions are defensible today. It is organized by the four pillars of DIG. To score yourself in two minutes, use the DIG maturity self-assessment.
Information Provenance
- You can trace the source of the information behind each AI-influenced decision.
- You know whether that information was authoritative and current when it was used.
- You can tell whether inputs were altered between source and decision.
Decision Traceability
- There is a record of what was recommended, by which system, and on what basis.
- You can show who reviewed and approved the decision, and on whose authority.
- The record is captured as part of the decision, not reconstructed afterward.
Representation Integrity
- You monitor how AI systems and search engines describe your organization.
- You can correct an inaccurate AI-generated statement about your company quickly.
Audit Readiness
- You can produce the full decision trail for any AI-influenced decision on demand.
- Your controls are tested, not assumed.
- Coverage is measured: you know which decisions are governed and which are not.
Frequently asked questions
What should an AI governance checklist cover?
The controls that make an AI-influenced decision defensible: the provenance of its inputs, a trace of who decided and why, accurate representation across AI systems, and the ability to prove all of it on demand. The DIG four pillars organize these.
How do I know where we stand?
Run the free DIG maturity self-assessment to score your organization on the five-level scale and get a recommended next step.
References
- NIST AI Risk Management Framework (AI RMF 1.0): Govern, Map, Measure, Manage. National Institute of Standards and Technology, 2023. View source ↗
- Information governance: the records and data lifecycle discipline (storage, retention, disposition), distinct from AI decision governance. ARMA International, Generally Accepted Recordkeeping Principles; AIIM. View source ↗
- EU AI Act, Regulation (EU) 2024/1689 (Official Journal of the European Union); ISO/IEC 42001:2023; Texas Responsible AI Governance Act (TRAIGA). View source ↗
- USPTO Trademark Reg. No. 8147558 (Supplemental Register), Digital Information Governance / DIG, owner Matthew Bertram. View source ↗
Cite this page
Bertram, M. (2026). AI Governance Checklist. Digital Information Governance® (DIG), Framework v1.1. https://digitalinformationgovernance.com/ai-governance-checklist
@misc{dig-ai-governance-checklist,
author = {Bertram, Matthew},
title = {AI Governance Checklist},
year = {2026},
howpublished = {Digital Information Governance (DIG), Framework v1.1},
url = {https://digitalinformationgovernance.com/ai-governance-checklist}
}