Tom Slater

speaker

197 appearances 1 recordings 1 series first heard May 2026 last heard 11 May

Tom Slater’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months

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

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Merryn Talks Money · What If AI’s Biggest Impact Isn’t Jobs, But Minds? · 11 May 2026 podcast

It's that prior mastery which allows you to genuinely evaluate what's coming out of these systems rather than just giving it a superficial check.

Yeah.

And so for those that have not gained the skills prior to using these tools, you don't have the ability to do that.

There's a completely different power balance between the AI system and the human.

Yeah, that's it.

So you get this one-time benefit, if you like, that you have a workforce who's been through the effortful struggle to gain capability and knowledge and mastery and then can use these tools.

But unless you invest in the next generation and ensure that they have those skills, they don't simply use these tools or they don't simply oversee these tools, then they can never have that same relationship with them and you don't get the same productivity benefit.

Yeah, that's right.

So you saw, you had these experienced practitioners using AI systems and then after you took the AI systems away, there was one key indicator, for example, where the detection rate fell 21% with the same group

before and after they'd had access to these AI tools.

But then there was this, and I think this was probably the more worrying result, was that people tend to trust the output from the AI.

And so when the experimenters went in and tweaked the AI to give confident but incorrect interpretations, what you saw was that human performance collapsed.

So humans were much more likely to accept that the answer that they were being given was right, even though it was not.

Even when they were experienced, yes.

And AI literacy was not sufficient to protect against that.

So knowing that the tool is fallible did not prevent over-reliance.

Yeah.

And it's back to this, if you get good results from the system, then you fall into this pattern of not questioning the output.

And that's true of experienced professionals.

And it's a problem that only gets worse if people don't get that sort of underlying experience and understanding before they start using the tools.

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