Brooke McNamara

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275 appearances 1 recordings 1 series first heard Jul 2026 last heard 22 Jul

Brooke McNamara’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.

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Speaking of Psychology · AI “de-skilling”: What happens when we offload our work to AI? With Brooke Macnamara, PhD · 22 Jul 2026 podcast

Benefits are always going to lead to saying use the AI because in the the immediate, the short-term effects are it's probably you're going to get a better result, it's probably going to be more efficient, it's going to be less effortful.

But long term, if that's a skill that you don't want to use, then maybe think about not using AI every time.

uh testing your skills without AI or using it in a way where you are

generating first and then asking for feedback where you are interrogating the prompts that you're giving it and the responses that it's giving you, or asking it to fill in gaps that you're missing and the next time try to do it without the the AI providing you those cues and see if you can do it.

I think they are.

I mean, I'm sure there's a lot of variability, and some places probably are are thinking about it more or less.

And of course, people are using AI in all sorts of very different ways from creative endeavors to, you know, sort of more procedural uh endeavors.

So for example, one way that it's being used is in radiology.

In radiology, a lot of systems either have just a

A computer-assisted device, or it is true AI that's helping find abnormalities in an image.

Now, it's always the recommendation that radiologists first try to find the abnormalities themselves and then click the button to see what the system says it's there.

But again, we don't really know what they're doing.

So if they really don't feel like putting in the effort or they're less concerned about uh their skills, they might just be clicking that button and then hopefully at least checking the work.

And again, immediate reward is that it's less time.

It's they're going to be more efficient and probably have a high uh success rate in terms of detection.

Long term, we

Want to worry about their skills and making sure that they could still do this without the AI.

Because AIs are not perfect.

They are fallible and people are fallible.

But if we start leaning too much on the AI or forgetting about its fallibility, then we're not putting that shared cognition together.

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