An AI governance playbook for Chief Risk Officers in regulated energy markets.
Energy markets sit at the intersection of safety, reliability, and public trust.
AI governance is not a compliance overlay.
Most AI governance frameworks we see were written for content moderation or HR screening.
Every model in your dispatch environment needs a model card. The model card documents what the model does, what data it was trained on, what its known failure modes are, and who is accountable for its operation.
Every consequential AI decision gets logged with inputs, outputs, model version, confidence, the human who reviewed it, and the override (if any). Logs are immutable, retained for the full regulatory window, and queryable by case ID.
If the human can't override, it is not human-in-the-loop. It is human-as-decoration.
Every model in your dispatch environment needs a model card.
Every consequential AI decision gets logged with inputs, outputs, model version, confidence, the human who reviewed it, and the override (if any).
If the human can't override, it is not human-in-the-loop.
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