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The hiring model kept rejecting qualified women. The team was baffled — "we never put gender in the model." They didn't have to.

Bias enters through the data, long before training. A model industrializes your history — faster, cheaper, with a veneer of objectivity. You can't bolt fairness on at the exit.

"We didn't put it in the model" — heard that one before? 👇 (What box did we miss? Add it in the comments.)

— Field notes from the AI Governance Gap · Day 5 of 30

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"It's just a chatbot. Low risk. Don't overthink it." That chatbot was telling customers whether they qualified for a loan.

Where have you seen a high-stakes system dressed up as a harmless one? 👇

— The Governance Gap · Day 3 of 30

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We have a full AI inventory, he said, and slid a spreadsheet across the table. It was last updated eight months ago.

A dead inventory is more dangerous than no inventory — it gives you the confidence of control without the reality of it. An inventory isn't a document. It's a process with a heartbeat.

How old is your AI inventory right now? Be honest. 👇 (What box did I miss? Add it in the comments.)

— Field notes from the AI Governance Gap · Day 2 of 30

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