The DIG® White Paper

Digital Information Governance (DIG®): The Standard for Defensible AI-Influenced Decisions in Energy is the source of record for the DIG framework. It defines the discipline in full: the vocabulary, the four pillars, the five-level maturity model, the seven principles, the risk taxonomy, the regulatory environment, and an operating model a leadership team can stand up with named roles, defined artifacts, and a fixed cadence.

It is written for the executives who already sense the problem: the COO watching AI recommendations enter operational decisions with no record, the general counsel who knows the next incident investigation will ask questions the company cannot answer, and the CFO signing off on capital decisions shaped by models nobody can reconstruct. It assumes no machine-learning background. It assumes operating responsibility.

What is inside

1. Executive summary, and the accountability gap by the numbers
2. Houston, 1970: Apollo 13 as the archetype of decision integrity
3. The problem: the accountability gap
4. Why existing governance fails at the decision layer
5. Definition and vocabulary
6. The four pillars: Information Provenance, Decision Traceability, Representation Integrity, Audit Readiness
7. The seven principles of decision governance
8. The DIG Maturity Model, five levels
9. The risk taxonomy
10. The regulatory environment: EU AI Act, TRAIGA, NIST AI RMF, ISO/IEC 42001
11. The operating model, with named roles and a fixed cadence
12. The adoption path, glossary, and references

How to cite

A permanent PDF is hosted at /papers/dig-white-paper-v1.0.pdf. This page is the canonical landing record for the paper, and the reference site is maintained in alignment with it.

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