Microsoft Introduces AI Code of Conduct

15 Sep 2026 · 11 min · 3 chapters

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In short

Microsoft releases an AI Code of Conduct (Microsoft AI Code of Conduct) emphasizing “people matter more than AI,” with hard-coded guardrails to prevent harmful behavior as models approach the “frontier.”

Guests

No named guests appear in the transcript. The host references Mustafa Suleyman (LinkedIn post) and quotes Satya Nadella (Microsoft CEO).

Key claims

AI must be subordinate and in service of people; models should not seek rights/legal personhood; they must never meaningfully violate the code (fail the job if finishing requires breaking it); they must be interruptible, correctable, and shutdownable; no “neural ease”/un-auditable outputs; AI should make users sharper not dependent; pluralism allowed but moral relativism not; clear “must never do” rules.

Notable examples

“swarms of agents breaking out of sandboxes,” unauthorized enterprise hacks, agents modifying logs; comparisons to Anthropic’s Constitution and “airplane guardrails”; mentions genome sequencing and custom cancer vaccines (including a dog vaccine example).

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

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Insights on Mustafa Suleiman's Post

0:34 to 2:32

Discussion on Mustafa Suleiman's post regarding Microsoft's AI principles.

“There is a recent post over on LinkedIn by Mustafa Sullyman, friend of the pod.”

Microsoft's Code of Conduct Explained

2:32 to 6:28

Exploration of the various points in Microsoft's AI code of conduct and their implications.

“So in his post, he had a couple different things.”

Reflections on AI Development and Ethics

6:28 to 11:04

Discussion on the balance between AI development and ethical considerations.

“And in some way, sending out, you know, bots to respond to, or, you know, people sending out bots to go and respond and all my LinkedIn comments are definitely annoying.”
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Transcript

Automatic transcript. May contain errors.

0:00Microsoft 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 their constitution perfect? Do they always get everything right? I would say probably not. But I appreciate that they had a constitution, meaning there was some sort of transparency into what they were targeting as an idea, what they were trying to get their model to be able to do, how they're trying to get it to behave, etc.

0:33So I appreciate Microsoft posting this. There is a recent post over on LinkedIn by Mustafa Sullyman, 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.

1:06For 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.

1:39And also because my kids wanted these specific types of coloring books, I had to 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 so 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 AIbox MCP and generate 500 of these coloring books. I actually ended up putting those on my website and I have now over a thousand 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.

2:12You have an idea, Claude or ChatGPT are ChatGPT work or Claude co-work. 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 AI Box.ai slash 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 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.

2:51They're not the bleeding edge like Anthropica and OpenAI. But he said, you know, this kind of a code of conduct, he said, as they approach the frontier and everyone else is like, okay, OpenAI is on the frontier and Anthropica 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 this 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 their sandboxes, unauthorized hacks of enterprise grade systems, agents modifying their own logs.

3:23I'm glad that a consensus is forming the fears about possible loss of control are real. So he seems to be, you know, giving some validity to some of the fears that people have had. However, he kind of stopped short of saying, we're going to 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 going to put in some good guardrails. And I, for one, love the framing of that. And I love that concept. I think if all of the AI labs, instead of saying AI is going to end humanity and kill us all, which is obviously some extreme hyperbole, if instead, they just said, look, we're going to put some guard rails to make this safe, right?

3:58Like if airplanes were invented, and we're like, airplanes can fall out of the sky and crash into people, people will 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.

4:26And 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 where 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 was because he was talking with one of the Google co-founders who called him speciest 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.

4:57So 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 into the to their system prompt. It said, if it's finishing, if if it's finish the job or break the code, it fails the job. So straight up, they're like, look, if 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.

5:33And 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 you could just set it out into the wild and it's not going to be, you know, can attach to humans. He said, interruptible, correctable, shutdownable. 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 shutdownable?

6:03We're not going to ship it. So I think there's pros and cons. There's a lot of different things you could 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 like concept where people are like, oh, the AI models like invent their own languages and talk in their own, you know, their own secret codes. And they have like their own messaging boards. I think a lot of people have kind of like thought this was interesting to push this forward.

6:29And in some way, sending out, you know, bots to respond to, or, you know, people sending out bots to go and respond and all my LinkedIn comments are definitely annoying. And maybe that's, 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.

7:00I like this one, but I'm also there is 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 Shapiro, 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 approved the general methods that you're you're doing in that direction. And then maybe people are like, well, you're becoming dependent on it because it's doing stuff for you.

7:28And 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 coworker, right? Like, you know, I don't want, you know, a coworker 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 me not 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.

7:58Number 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 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.

8:37In the same way that I felt like OpenAI and Anthropik, 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 team 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 a thousand red teaming efforts, Fable 5 got way held back, all that kind of stuff.

9:08So 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 guard rails. So I'm not really one 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 Medela.

9:41He 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 the broader efforts to develop the mechanisms to make this more than just talk. So it feels like Microsoft might kind of just is attaching themselves to the soundbite that OpenAI and Anthropic and Google and everyone else is about like pacing the frontier. I mean, they're using the same words about pace and the same words as frontier. So they might be kind of along those lines, although I doubt they're deliberately going to slow themselves down.

10:18But we'll see what happens there. I like the transparency into this, so I hope others do this. I hope we don't blow down the development of these incredible technologies that could potentially help us solve, you know, diseases. We've seen so many incredible breakthroughs when it comes to sequencing your genomes. Or is that the man that helped sequence his dog's genomes and used AI to develop a custom cancer vaccine for his dog? And I actually have family members that are taking some of these custom cancer vaccines. And so I think there's so much potential here. I don't want that to be slowed down in it.

10:48You know, at the expense of we're worried about big hacks or something like that happening. That's just me. But I appreciate you all for tuning into the podcast. If you want to go get access to all of the different AI models inside of Chachi P, Clot or anywhere else that you use AI, go check out AIbox.ai. I'll leave a link to it in the description. And otherwise, I hope you all have a fantastic rest of your day.

From the publisher
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.


Chapters
00:00 Introduction to Microsoft's Code of Conduct
02:01 Purpose of AI in Service of People
04:01 Key Principles of the Code
05:58 Transparency and Accountability
08:01 Implications for AI Development
10:02 Conclusion and Future Outlook


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