This is CBSI on the world.

I'm John Batchelor.

Artificial intelligence, affordability.

This is a challenge, and I welcome Kevin Frazier of the University of Texas Law School at Austin,

writing at Civitas Outlook for the Civitas Institute,

often, who has introduced me to our official intelligence and the anxiety and the promise.

We're going to start with the promise because Kevin publishes a piece at the Hill

identifying AI as an affordability answer, not the answer, but an answer. Kevin, a very good evening

to you. Healthcare. How can AI help us with health care, given the anxiety about AI being every

once in a while hallucinatory? Good evening to you. Good evening, John. Thank you so much for

having me on. Always a pleasure to talk AI's pros and cons with you. And when we're talking about

healthcare and affordability, what I really want to stress is that there are a number of what I like

to call boring use cases of AI. When we see AI in the headlines, it's often about

its most extreme use cases, whether it's going to go off the rails in cybersecurity or it's going

to allow a bad actor to deploy a weapon system. And those are all very real, very valid public

policy conversations we should have. But we also have to

talk about the boring use cases of AI, the things like transcribing conversations between you and your

doctor, the things like identifying when there are patients who are most likely to miss their

appointments and predicting that so that more patients

can see their doctors with greater frequency. These are the sorts of boring use cases of AI

that hospitals are already making use of, and as a result, saving millions of Americans

millions more dollars on their health care expenditures, which we know is one of the most

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