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Aurelius · Work & Leadership
Knowledge + Guidance

What if I can't explain my model to a regulator?

You worry about the day someone asks you to account for a model you built on data you trust but logic you cannot fully trace. That is a real risk. It is not an excuse to stop using the tool, and it is not a reason to pretend you understand more than you do. Here is what you keep avoiding: you do not need to understand the model's full mathematics to be accountable for it. You need to know what it was built to do, what you tested, where it fails, and why you still chose to use it. That is within your power. The algorithm's inner workings may not be. Stop treating this as a future problem. The regulator is not your real audience — your own conscience is. Write the explanation now, before anyone asks for it.

◆ How this problem reads on the two dials
GuidanceKnowledge
More coaching
Some to learn
1:1 with AureliusWith others (a Pod)
Mostly you & the coach
A little with peers
The real work here is confronting avoidance and building a habit of honest documentation — coaching carries more weight than teaching new facts.
How the two dials adapt to you →
What’s really going on

You do not need to explain every calculation. You need to explain the decision: what the model does, why you trust it, and what you checked before you used it. Start documenting that today. The parts you cannot explain are the parts you have not yet forced yourself to write down.

🔒 What you’ll build togetherUnlock by starting
A moveWrite a one-page plain-language account of what the model decides and why you trust it — today, not before an audit.
A moveList what you tested before deployment and what you did not test. Be honest about the gap.
A moveFind a colleague or compliance person outside your field and explain the model to them. If they cannot follow it, your document is not ready.
A moveSeparate 'I cannot explain the math' from 'I cannot explain the decision.' Only the second is your job.
A moveDecide now what you will do if asked to stop using a model you cannot fully justify — before fear makes that choice for you.

What changes unlock by starting

  • A written account of the model's purpose and limits, ready before anyone demands one.
  • A clear line between what you are responsible for and what you are not.
  • Less dread, because the unknown now has a name and a document.
  • A concrete answer ready if a regulator or manager asks tomorrow.

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One object, two jobs: a public answer to a real problem, and — the moment you start the chat — Aurelius’s live plan for your version of it.