Charlotte Blease

I think it's, you know, in some sense, large language models are just one giant plagiarism machine.

They're standing on the shoulders of previous human beings.

So in some sense, it's sort of by extension, the intent could be viewed as the intention to be compassionate.

I mean, that's taking quite a long lens to it.

But

I discuss that in the book.

And yes, there are programs where people are using these tools within training.

And I think that whatever is in the benefit of patients and can improve delivery of compassion, and if you put it in those sorts of terms, I think it's got to be a good thing.

You know, if you consider younger people who are going through medical school, they may not have an awful lot of life experience with

death or chronic illness or addiction or all kinds of things to which I say if these tools are useful and I suspect aside from formalized within medical education training programs, which I know some are doing, some educators are doing, but from my service, I suspect that's actually probably in the era of online record access, I suspect that's a chief use

when it comes to writing documentation that doctors know patients will read, writing it in an accessible and an empathetic way?

That's definitely my angle.

I mean, I take the view that technology now is the worst it's ever going to be,

I certainly don't think we're there yet.

But I also close the book by saying, look, I'm considering certain psychological challenges that doctors face and patients with a traditional visit, but there's a much wider conversation.

Those aren't the only ethical concerns.

It's about who do we want to run our health systems?

What happens to privacy, inequality?

What's the point in having diagnostic accuracy if you don't have

We can't pay for medications or you're not living in sanitary conditions.