Dr. Mark Khater

And we enter into the room and then we realize we're in agreement.

So you think, well, I must be right.

You know, this chap agrees with me.

Well, I must be right.

This chap agrees with me.

All right, let's overcommit.

But in fact, we've just used the same data resources and the exact same techniques and models.

And that's why there's a silent correlation between our conclusions.

What would be your practical hack for the people before the meeting or students or what would you advise them?

I think people need to be clear on what the data was.

I think people need to actually debate a lot more if they realize that they're agreeing too quickly and they're agreeing on the exact same details very fast.

I think pilot projects are going to be a big thing moving forward, not overcommitting.

We need to also very carefully look at our decision-making process, and we need to introduce all those little sort of, you know, checkpoints to go –

But are we just going down the same road because we are all overly similar and our models are similar?

We need to ask that question.

What did you use to get to these conclusions?

What prompts have you used?

How did you figure it out?

A lot of us actually still walk into those meetings, think, I don't want to say that I've used AI.

I don't want to.