This is not a talk about how AI works.
It’s about what it does to how you think.

We like to think the biggest risk of AI is that it sometimes gets things wrong.
But if you use it every day, you already know that’s not the real problem.

The real problem is that AI is very good at being just convincing enough.

Even when the input is incomplete, the output looks like something you can just move on with.

And that’s where it gets uncomfortable.

Because this isn’t just an AI problem.
Our brains work the same way.
We fill in the gaps. We smooth things over. We turn fragments into something that feels coherent, even when it isn’t.

In this session, I explore that pattern from a psychological point of view, using recognisable and personal examples to show how easily our judgement shifts when working with AI. Along the way, I connect those moments to the cognitive principles behind them.

We’ll look at what that means in practice.
Where you stop checking earlier than you think.
Where “good enough” quietly replaces “actually correct.”
And why the first reasonable answer is often exactly where things go wrong.

This is not an “AI is bad” talk. I use AI myself. Every day.

But once I started noticing this pattern, I also started changing how I use it.
Where I pause. What I double-check. And where I no longer trust the first good answer.

Expect this to be interactive.
You’ll recognise more of your own behaviour than you’re comfortable with.

Fair warning: this is not the session to quietly recover from an after‑lunch slump.
You’ll be involved.

Because the real shift is not only that AI can think with us.
It is that it quietly changes the point where we stop thinking for ourselves.

And if that moment feels familiar…
yeah.
It’s a trap.