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The Federal Government is looking to regulate AI. Today we discuss what they are saying.

Transcript
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And that is the concern. Right. It's the, , fairly affluent who have made their money predominantly through algorithms and predominantly through technology. And investing in technology, you could even count the senators and congressmen in that group. They've made a ton of money through technology. We, , anyone who's invested in the last, , couple of decades has made a ton of money in that way. Plus the, obviously the tech entrepreneurs have made a ton of money in that direction. , do we trust them to set the framework for this? And I think this is one of those things where. We are going to want to keep a close eye on this. We are going to want to. , be able to make our concerns known with regard to healthcare. I again, I'm leaning on the side of, of innovation more than, , protecting the, , the interests of the consumer. In this case now I think there needs to be transparency. If an AI is actually caring for me, I need to know that. I need to know that and understand that now. I was in a room where they were talking about. , essentially inventory, all AI algorithms that are being used in a health system and making a requirement for those to be available to the public, to query and know how AI algorithms are being used in the health system. I think that is a. An example of an onerous and silly regulatory framework. But by the way, it's not regulatory today. This was actually a health system. , Going down that path, taking that initiative. My question is as a consumer, am I ever going to query? The algorithms of my local healthcare system to ensure that they are using my data and, and caring for me. , in the right way. I wouldn't even know what to, what I'm looking at. Quite frankly. , you would have to be a tech expert and a healthcare expert in order to bring those two things together and not just a healthcare expert. An expert in the delivery of healthcare. And that might even be specialty specific to understand the algorithm that's been written and the AI that's being utilized. So I'm not sure where they were going with that. I'm not sure who that's being developed for. But it again, I, I just think that's, , that's probably a bridge too far with regard to transparency. , But again, If I'm receiving a note, I want to know if the doctor has reviewed it. I want to know if a doctor has written it. I want to know if AI has written it. If startups start to build, , solutions that are essentially delivering care advice in any care advice, period, startup, otherwise. I want to know if it's, if I'm actually interacting with, , AI. I think the same, thing's true of call centers, although a little less, so not so much risk. If, if I'm dealing with. , AI and it's helping me set an appointment. , in fact, I would hope that that's happening. I would hope that we're getting more efficient and that we are utilizing all the tools available to us to get more efficient and make sure I get the right appointment. So anyway, these are some of the things that are out there. These are some of the things that are being talked about today with regard to regulation, where do you think it should go? I'm curious, do you have a point of view on this? Do you have a point of view of how AI should be regulated moving forward? Are you slowing down to wait to see where the regulation goes or are you full steam ahead? And we'll figure it out as we go. Be interesting to see what the, , What the current, , temperature of health it professionals is with regard to this. , topic and I think it's an important one. When would you keep an eye on? All right. That's all for today. Don't forget, share this podcast with a friend or colleague, keep the conversation going. We want to thank our channel sponsors who are investing in our mission to develop the next generation of health leaders. Short test artists, I parlance certified health, notable and 📍 service. Now check them out at this week. health.com/today. Thanks for listening. That's all for now.

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