Information governance grew out of records and compliance; AI governance grew out of model risk. They meet at the decision, and the decision is exactly what neither was built to govern. That is the space Digital Information Governance occupies.
| Dimension | How they differ |
|---|---|
| Origin | Information governance: records and compliance. AI governance: model risk and ML assurance. |
| Focus | IG: information lifecycle. AI governance: model behavior. |
| The decision | Neither fully governs the AI-influenced decision; DIG does. |
| Convergence | Incumbents now extend each toward AI; DIG names the decision layer directly. |
Frequently asked questions
How is information governance different from AI governance?
Information governance manages the records and data lifecycle; AI governance manages model behavior. Digital Information Governance manages the decisions AI influences, which sits above both.
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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. 99559923, Digital Information Governance / DIG, owner Matthew Bertram. View source ↗