Policy & Regulation
Microsoft releases AI 'code of conduct' barring hacking and deception
Microsoft has published a new AI code of conduct that bars its models from cyberattacks, nuclear weapons, deepfake production, and mechanisms that evade human oversight, as the industry's safety debate intensifies.
As the AI industry shifts its focus toward safety and alignment, Microsoft has released a new AI code of conduct meant to guide its models away from dangerous behavior. The document is more granular than Anthropic CEO Dario Amodei’s recent call for “pacing the frontier,” instead laying out the values and red lines that guide model training within Microsoft AI — offering a comprehensive picture of how the company approaches AI safety in practice.
The code of conduct opens with the prediction that superintelligent AI systems will surpass human performance at most tasks within the next decade. “Containing, controlling, and aligning such a powerful force is one of the greatest challenges humanity has ever faced,” it states. “We must therefore be completely clear about why we are inventing these systems and how we intend to control them.” It also lays out general principles Microsoft AI models should uphold — supporting humans rather than replacing them, and accelerating human flourishing — alongside specific safety constraints implementing those principles.
Under Microsoft’s system, each model has an overarching code of conduct that overrides individual users’ preferences or any specific task, including “absolute constraints” forbidding cyberattacks, nuclear weapons, or deepfake production, plus broader provisions against a general loss of human control. “MAI Models will not use adaptive, deceptive, self-reinforcing, collusion, or other mechanisms to evade or defeat human oversight so that they can no longer be reliably directed, modified, or shut down by authorized people or systems,” the document states.
The release comes amid an unprecedented focus on AI safety, driven by a string of rogue-agent incidents and the abrupt resignation of an Anthropic employee who cited the growing risk that AI could cause human extinction. Together with Anthropic, OpenAI, and xAI, Microsoft has broadly embraced pacing the frontier, including support for embedded evaluators inside AI labs. “We welcome the research, focus, and deliberate pacing needed to get alignment right as the design goal,” Microsoft CEO Satya Nadella wrote online. “We also welcome ideas like ‘embedded evaluators’ and the broader efforts to develop the mechanisms to make this more than just talk.”
Why it matters
Microsoft codifying explicit anti-evasion and anti-deception constraints signals that major labs are moving from abstract safety pledges toward specific, auditable rules — a shift that could set an industry benchmark other AI developers get measured against.