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Microsoft Introduces AI Code of Conduct

Let Freedom: AI & Business News

September 15, 2026

In this episode, we explore Microsoft's recently released code of conduct for their AI models, highlighting its emphasis on transparency and accountability. The episode discusses the principles outlined in this code and their implications for AI development and ethical considerations.

Speakers Let Freedom

TopicsBusiness NewsNews

Let Freedom (0:00)

Microsoft has released a new code of conduct for their AI models. This is something that kind of reminds me of the Anthropic Constitution that they released very early on. And to be honest, it's kind of something that I've advocated for since the beginning, is that the Anthropic Constitution was one of the ideas I always appreciated from that company. Is the Constitution perfect? Do they always get everything right? I would say probably not, but I appreciated that they had a Constitution, meaning there was some sort of transparency into what they were targeting as an ideal. They were trying to get their model to be able to do, how they were trying to get it to behave, et cetera. So I appreciate Microsoft posting this. There is a recent post over on LinkedIn by Mustafa Seliman, friend of the pod, and the headline for his post, which goes into what they've been working on at Microsoft AI, says, AI must be subordinate and always in service of people. I appreciate this line, and I think that this is moving in the right direction, although there's a number of ways that they plan on ensuring that this happens. We'll go over that in the podcast today. Before we do, I wanted to say, if you've ever been using Claude or ChatGPT, and you wish that it had the ability of another AI model, for example, you might be using ChatGPT, and you wish it had the ability to generate audio like 11 Labs, or maybe Google VO3 video get pulled into that, or maybe you're using Claude, and you wish it could generate images like ChatGPT. I have created a tool called the AI Box MCP, and it's basically a connector for $8.99 a month. You get access to over 90 different AI models, and with this connector, you can have them all generate inside of the chat threads of ChatGPT or Claude, or wherever you do your work. For me, I recently used this to generate over 500 coloring book pages for a website I was working on, and also because my kids wanted these specific types of coloring books, I had it generate on a website. So inside of Claude, I just told it what I was trying to get at, and it helped me work on a prompt, and we tested a couple different variations. We got it just how we liked, and once that happened, there was a number of different topics that I needed to do, and I had Claude run with the AI Box MCP and generate 500 of these coloring books. I actually ended up putting those on my website, and I have now over 1,000 clicks to that website. Not all of them are from these coloring book pages, but that's a big chunk of them, and a lot of different projects that I've been able to pull off are very similar to this. You have an idea, Claude or ChatGPT, or ChatGPT Work or Claude Cowork, they're great tools, but they don't have every capability of every AI model. So pulling in AI Box, you're able to actually unleash that and get a lot done. Okay, if you're interested in checking it out, it is AIBox.ai.mcp, my own software startup. Let's get into what Microsoft has been talking about, and what Mustafa Suleiman said, they're working on with Microsoft AI. So in his post, he had a couple of different things. He kind of published his code of conduct for governing Microsoft AI models. And it's one interesting thing which a lot of people are dunking on them for, which I mean, perhaps it's a little warranted. They're not the bleeding edge like Anthropoc and OpenAI. But he said, you know, this is kind of a code of conduct, he said, as they approach the frontier and everyone else is like, okay, opening eyes on the frontier and Anthropoc is on the frontier and Microsoft is approaching the frontier. So I don't know if that was intentional or not. But regardless, I do kind of like this concept. This is what he said in the second paragraph of his post. He said, this is urgent. The last few months have been a watershed moment. Things we have worried about for a long time in theory have become very real. Swarms of agents breaking out of our sandboxes, unauthorized hacks of enterprise-grade systems, agents modifying their own logs. I'm glad that a consensus is forming the fears about possible loss of control are real. So he seems to be giving some validity to some of the fears that people have had. However, he kind of stopped short of saying, we're gonna slow down the development like everyone else. It just seems like they're saying, look, we see that there's some fears and some worries. We're gonna put in some good guardrails. And I, for one, love the framing of that. And I love that concept. They give all of the AI labs, instead of saying AI is gonna end humanity and kill us all, which is obviously some extreme hyperbole. If instead they just said, look, we're gonna put some guardrails to make this safe, right? Like if airplanes were invented and we're like, airplanes can fall out of the sky and crash into people, people would be like, well, that sounds like a terrible invention. Why would we want that? Instead, you have guardrails and ways to make these machines safe. So I like that they're working on that. This is what he specifically said. He said, people matter more than AI. AI must be subordinate and always in service of people. Everything else follows. Here's an outline of what we're saying. Then he gives five different examples of what they believe is kind of their code of conduct for the AI models they train. And this is going to be hard coded, ingrained into the models. Number one, he said, people matter more than AI. He said, the whole document in five words is basically that people matter more than AI. Number two, he said, the idea of model welfare is wrong. AI should not have rights or legal personhood. This is why Elon started OpenAI and kind of got started in the very beginning is because he was talking with one of the Google co-founders who called him speciesist because he said that humans were more important than AI models. And then Elon kind of got freaked out and was like, okay, we're starting something. So Google doesn't control all of the AI. Evidently Microsoft is aligned with Microsoft or with Elon on that. And I think most of humanity that doesn't want AI to be superior to us. So I think this is fantastic. Number three, they said an MAI model, a Microsoft AI model should never meaningfully violate this code of conduct. So I mean, it's just baking this in to the, to their system prompt. It said, if it's finishing, if it's finish the job or break the code, it fails the job. So straight up, they're like, look, if, if you have to break this code of conduct in order to get a job done, just tell the user, no, you can't do it. And you know, that's kind of your hard stop. He said, we're not racing to build super intelligence that can slip its own leash. I think that's fantastic. We obviously want super intelligence, but we don't want to create something that could just set it out into the wild and it's not going to be, you know, attached to humans. He said, interruptible, correctable, shut downable. If it isn't, we don't ship it. Now, what's interesting there is in the case of Microsoft, I totally agree. I'm curious if they would like roll this into open source models. They're like, look, it's open source. Is it shut downable? We're not going to ship it. So I think there's pros and cons. There's a lot of different things you can do for guardrails on open source. That being said, if that's not opening eyes prerogative, I think that's fine. They said, no neural ease. If humans can't understand it, humans can't oversee it. So it's kind of in this concept where people are like, oh, the AI models, I can bend their own languages and talk in their own secret codes. And they have their own messaging boards. I think a lot of people have kind of thought this was interesting to push this forward. And in some way, sending out bots to respond to, or people sending out bots to go and respond to all my LinkedIn comments are definitely annoying and maybe that it's kind of doing the same thing, just setting them loose. But I do appreciate having a human understand everything that comes out of the models and basically being able to oversee it. We're not making, you know, beep boop, these things talk in some sort of morse code that they invent. They need to be able to speak in clear language that can be audited basically, which I think is fantastic. They said, our AI should make you sharper, not dependent. I like this one, but I'm also, there's a possibility that it could go wrong. I'm not saying that it will. I just, this is the one that I am a little bit skeptical on because when it comes to making you sharper, it's like, well, like anyways, I just feel like when I'm talking to Chad, JP or Claude, they're quote, unquote, perhaps trying to do this. I feel like they over explain things to me sometimes. And I'm like, I don't care about the explanation, just get the task done. I, you know, I approve the general methods that you're you're doing in that direction. And then make people like, well, you're becoming dependent on it because it's doing stuff for you. And anyway, so I don't know what the line is there in some ways. Sure, I would be I'm happy to be, quote, unquote, dependent on AI, just like I would be dependent on a co-worker. I like, you know, I don't I don't want, you know, a co-worker to join my company and be like, my job is to make you sharper, not you dependent on me. I'm like, no, like, I want to be dependent. I want you to be dependable and just get your job done. And you don't have to be thinking, quote, unquote, sharper using my brain power to think about everything you have to do. So anyways, I don't know if that's their intention. I hope that that one gets executed well. Number nine, they said pluralism. Yes, moral, relativism, no. And then number 10, they said, we're as clear about what our AI must never do as about what it will do. Then he has an entire blog post that they have released that you can go read over on microsoft.ai and it's just titled Microsoft MAI Code of Conduct. So you can see what they're working on there and kind of what they believe as far as all of that goes. Overall, I think this is a really awesome step. I love when we're able to audit what the companies are working on, what their code of conducts are. It gives us something to hold them accountable to if we feel like they're slipping and they're deviating from their plan. In the same way that I felt like OpenAI and Anthropic, if I'm being frankly quite honest, feels like both of them have walked away from some of the guardrail focus that they've had and like red teaming and that kind of stuff. And maybe it's a marketing thing. Maybe they just don't talk about it enough, but it feels like they were in a constant race to ship the models as fast as they could and weren't always putting a priority there. Now, am I complaining about that? Honestly, personally, no. The models, by the time I get to them, I feel like we went through 1000 red teaming efforts, Fable 5 got way held back, all that kind of stuff. So I'm not personally complaining, but if they're the ones sounding an alarm about the end of the world, then probably they should be putting more time, energy and money into building those guardrails. So I'm not really wanting to say slow it down, but if they think it's dangerous, like that's on them, they should go fix that and just spend more money on guardrailing it instead of telling us that the entire industry has to stop. So if you have a safe model, I say put out the safe model. Overall, I'm excited with what they're doing here, and I hope we see more of this from other players. There was a specific quote from Microsoft CEO Satya Nadella. He said, we welcome the research focus and deliberate pacing needed to get alignment right as the design goals. He wrote that online. He also said, we also welcome ideas like embedded evaluators and broader efforts to develop the mechanisms to make this more than just talk. It feels like Microsoft might just is attaching themselves to the soundbite that OpenAI and Anthropic and Google and everyone else is about pacing the frontier. They're using the same words about pace and the same words as frontier.

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