Transparency: Say What the AI Does, in Words People Understand

Transparency is one of those words that sounds simple until you try to practice it.

In the AI governance world, it means this: the people affected by your AI should understand, in plain language, that AI is involved, what it does, and what it does with their information. No buried disclosures. No "our advanced algorithms optimize your experience."

ISO 42001 weaves transparency through the management system — in how you communicate about AI, what you document, and what you tell interested parties. It is not a marketing exercise. It is a respect exercise.

Here is my test. Show your explanation to the least technical person affected by the system. If they cannot tell you back what the AI does and what it means for them, you are not done.

Practical transparency looks like: "We use AI to sort job applications. A person reviews every shortlisted candidate before any decision. Here is what data the system sees, and here is how to ask for a human review." Short. Honest. Useful.

Transparency will not fix a bad system. But its absence guarantees distrust, and distrust is expensive — in customers, in talent, in regulatory attention.

Say what the AI does. Say it plainly. Say it before someone has to ask.

I explain frameworks; I don't give legal counsel.