The Fact Theory

Here is what it looks like.

Someone walks into a meeting.

They pulled a stat from an AI tool the night before. They did not verify it. They did not read the source. They do not fully understand the context.

But they say it with absolute conviction.

And no one challenges them.

Because confidence is often mistaken for accuracy.

The hallucination happened in the human. The conviction made it contagious. The meeting made it policy.

KMPG found that 77% of executives trust AI outputs. Only 35% verify them before acting.

IDC puts the cost of poor information quality at $3.1 trillion per year globally.

AI hallucination is sudden and detectable.

Human Drift is slow, confident, and invisible.

And it is already steering decisions in your organization.

The antidote is four steps. I call it the FACT Framework.

Flag it. Tell the room it came from AI before you present it.

Attribute it. Name the original source, not just the AI tool.

Challenge it. One person asks: how do we know this is accurate.

Test it. Find a second independent source before it becomes a decision.

Four steps. Thirty seconds.

Because the greatest risk of AI is not that machines get the answer wrong. It is that humans stop asking whether the answer is right.