Digital Information Governance applies anywhere AI influences decisions, but it matters most where being wrong is expensive, dangerous, or unlawful. In regulated, capital-intensive industries, the AI-influenced decision is exactly the thing a regulator, partner, or court will examine.
Energy
In energy, AI increasingly touches operations, integrity, safety, and trading. The highest-stakes decisions are physical, and the accountability is licensed. DIG keeps those decisions traceable and auditable, which is also where TRAIGA and the EU AI Act are heading.
Financial services
Lending, pricing, and risk decisions influenced by AI face long-standing fair-lending and disclosure scrutiny. DIG supplies the provenance and decision trail those obligations assume.
Healthcare
Clinical and coverage decisions carry obvious stakes and dense regulation. DIG makes AI-influenced decisions defensible without slowing the clinicians accountable for them.
The common thread: a licensed, accountable human must be able to stand behind the decision. DIG is the discipline that lets them.
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 ↗