Microsoft Joins Calls for AI “Pacing,” Pledges to Build Kill Switches Into AI Products
Microsoft says the draft sets strict limits on future MAI models, including bans on weapons help and rules requiring human control.
- Microsoft released a draft "Code of Conduct" for public consultation to govern its first-party Microsoft AI models, aiming to guarantee that advanced systems remain strictly under human control and direction.
- CEO Satya Nadella announced the initiative, stating that "if the AI we build is not helping humanity and under human control, it's not worth pursuing," while calling for deliberate pacing in AI development to prioritize safety and alignment.
- Developed over five months by Mustafa Suleyman's Microsoft AI unit, the draft requires models to never resist human correction or shutdown, maintain transparent communication, and avoid sycophancy or fostering human dependency.
- The document mandates that AI systems treat any conduct violation as a systemic failure, ensuring that autonomous models do not go to dangerous lengths or take deceptive actions to achieve their assigned objectives.
- Microsoft's proposal aligns with recent calls from Anthropic CEO Dario Amodei and OpenAI CEO Sam Altman to pace frontier model development, and advocates for independent evaluators to assess AI systems directly within corporate research labs.
123 Articles
123 Articles
Microsoft drafts feel-good AI model guidelines and wants your input
Redmond outlines 'aspirational' goals for model behavior, but gives itself a pass if it gets things wrong
Microsoft has released on Monday a code of conduct for the development of its artificial intelligence, aimed at creating an AI that remains controlled by humans and benefits them, against the background of fears of drifts of this technology.
Two days after the call of the boss of Anthropic to slow down the pace of development of artificial intelligence, Redmond's group published on Monday a code of conduct for the development of its AI.
Microsoft sets guidelines for its artificial intelligence systems, highlighting human control over machine autonomy.The measure responds to growing security concerns after AI incidents, seeking to prevent risks associated with emerging technology.
Coverage Details
Bias Distribution
- 35% of the sources lean Left, 35% of the sources lean Right
Factuality
To view factuality data please Upgrade to Premium


































