What Does Governance Look Like?

When people hear the words AI governance, they immediately see boardrooms filled with CEO’s discussing policies, lawyers debating regulations, and committees deciding what AI risks should be mitigated

These conversations matter, absolutely, but I think we might be overlooking something -

AI governance doesn't begin in the boardroom, it begins the first time someone opens ChatGPT, or Claude, or any other AI platform.

Think about this for a minute - at any given moment on any given day, millions of people decide:

· Whether they should trust AI's answer or whether they should question it
· Whether they should verify the information or simply accept it
· Whether they let people know that AI helped create something, or let them assume it was entirely their own work

None of those decisions will make the evening news, but collectively they can shape how AI is used, just as much as the policies written in corporate offices.

Businesses absolutely need governance - they need clear policies, accountability, and thoughtful leadership.

But governance isn't just written into policy and then forgotten, it’s reflected in every day decisions.

Every person who uses AI is making small decisions about trust, responsibility, transparency, and judgment.

Those decisions become habits, and habits become culture.

This is the part of AI governance that needs more discussion.

The boardroom creates the framework and the rest of us decide what happens inside that framework - and if we want responsible AI, we are going to need both.

Not because every person needs to become an AI expert, but because every person who uses AI is helping to shape what responsible AI use will look like.