Today in alpha I T U S house bands, Microsoft copilot, forced to heifers. We're going to take a look at that. My name is bill Russell. I'm a former CIO for a 16 hospital system and creator this week health. Set of channels and events dedicated to transform health care. One connection at a time. We want to thank our show sponsors who are investing in developing the next generation of health leaders.

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They can subscribe wherever you listen to podcasts. All right, let's get to this story. Us house bans, Microsoft copilot for 4, 365 for staffers. And. Directs, put this story in there and here's a little bit of the gist of it. So in response to cybersecurity concerns, The us house of representatives has prohibited congressional staffers from utilizing Microsoft's copilot for 365.

AI chat bot as determined by the house's chief administrative officer and office of cybersecurity due to the risk. Of data leakage. Okay. This decision extends to a previous restriction on chat GPT use. Emphasizing the legislative bodies, cautious stance on AI tools, industry professionals from quorum, cyber, and Verona systems.

However, assert the security and potential of copilot highlighting Microsoft's commitment to data privacy and the development of specialized solutions to ensure co-pilots secure. Deployment Microsoft is actively working on enhancing security measures. And has launched co-pilot for security data. I had a bunch of other things. The company plans to introduce more government oriented tools to address congresses. Security concerns and leverage AI technology for secure mission, critical applications.

All right. So this will probably be a quick episode for once it's not. It will be a quick episode. It's interesting. I did a poll. On LinkedIn and is, will AI transform healthcare in the next five years? And 84% is yes. As you would imagine, 16% is no, it's not as split as you would think.

I can see who voted for what and the 16% has at least three CEO's in the group. And majority of the other, one of the CEO's are in the other group. But it's interesting to me. That we still have a varying opinions on this. Even in the technology world. How impactful this will be. And it takes me back to a time when I was installing networks.

And I remember. I was at most be yearbook must be yearbook, did a lot of medical publications and whatnot. Back in the day, they were a midsize employer in St. Louis. And I remember they were one of the. First that decided, Hey, we're going to put IP addresses on all these computers. And we're going to put them on the internet. And I remember thinking, how forward thinking that was at the time. And now it's interesting because I remember going back there a couple years later and they said, The internet makes solitaire looked like a productivity tool.

If you remember windows 3.1, I don't know how far back you go, but windows 3.1. Has solitaire on it. And so it was it was the G. The game that got played incessantly in offices, and it was considered a productivity killer. And, you go. You fast forward and the internet. Was also a huge time-waster within organizations, but it also introduced a whole host of things. That enabled us.

And it wasn't the internet per se. It was the network that underlie the entire, um, internet that gave us the ability to communicate send messages and really do away with the fax machine and a bunch of other things. Along the way. But that took a fair amount of time to really have its full effect. On a business and it has been transformative in business, but it took a while. For it, you saw little bits and pieces up front, and then things started to come together. AI is interesting to me in that I don't believe we are looking at something that needs a lot of things to come together in order for it to really go to the next step.

I think the underlying technology is there. We've been playing with it for better part of 20 to 30 years. So people were saying, Hey, it's going to be moving slow. Failed to recognize that we've been working with this technology for decades. Quite frankly. So it has had its slow phase and I think we're entering its fast phase. And people who are in the know essentially saying, Hey, we're going to see advancements. In this and the next couple of years with the processing power that's being developed by Nvidia. And the data centers were being built out by Google, AWS and Microsoft amongst others. And we're just going to see. Massive amounts of compute power.

We're going to see these systems being trained. On individual sets of data. So that we're going to get really knowledgeable. Large language models around specific datasets and all of this is going to converge rather quickly. And so when I see something like us house bands, Microsoft copilot for staffers. I think that has got to be a temporary fix. And those health systems that are saying, Hey, we're just going to tell people they can't use Chatsy PT. They're going to find that it is being used much like the cloud was being used. When we were saying, Hey, we're not using cloud systems. It just ended up. Being I don't know, it was like a. Not I, in fact, the story I have is when I became the CIO at St.

Joe's, one of the phone calls I got in the first couple of months was from Dropbox. And they said, Hey, congratulations. You're one of our biggest. Corporate users. And we want to sit down with you and, do some. Do some stuff and, explore different ways that you can use the system. And so I asked somebody to give me the contract for Dropbox.

It turns out we had no contract for Dropbox. It was not a corporate system. It was just being used. By so many of the employees. And you want to talk about data leakage. How about that? For data leakage. And so we had to do a corporate agreement with a system that had the security and controls around it. I think that's the only way that you're going to go down this path. Is you're going to have to make it available to people, but you're gonna have to educate them.

You're going to have to give the right guard rails. You're gonna have to build the technology guard rails in order to prevent data leakage and whatnot. And maybe that's a current browser. Maybe it's maybe it's a an independent system. Maybe it's building out your own LLMs. That's pretty extreme, but that could be a path that you take.

But at the end of the day, telling people, they're not gonna be able to use this. Is like telling people they're not going to be able to use the internet. Or they're not going to be able to use the cloud. If they have a credit card, if they have a computer, if they have access to the, to a network, they are going to be able to use. The large language models, and they're going to be able to tap into AI models that are going to be. Fairly sophisticated, but not controlled and therefore represent some risk to your organization.

So us house bans. Microsoft copilot for staffers. I'm not going to go into the, why. Why are they banning it? And that kind of stuff. Data leakage is you. I think they're just afraid of that stuff going in training the model or getting beyond the model and being pushed out. By the large language model to another client, like they will ask a question about a Senator and end up with documents that shouldn't be in there. In their purview. And that's what they're afraid of.

And if that's what you're afraid of, there should be ways to create wall gardens around this. Telling people they just can't use it is not going to fly as So there you go. That's all for today. Don't forget. Share this podcast with a friend or colleague. Use it as a foundation for mentoring.

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