Microsoft Responsible AI
Principles and approach
We're committed to developing AI systems in a way that is transparent, reliable, and worthy of trust.
Principles
Defining what’s important
We've identified six principles that we believe should guide AI development and use.
Fairness
AI systems should treat all people fairly.
How might an AI system allocate opportunities, resources, and information in ways that are fair to the humans who use it?
How might an AI system allocate opportunities, resources, and information in ways that are fair to the humans who use it?
Reliability and safety
AI systems should perform reliably and safely.
How might a system function well for people across different use conditions and contexts, including ones that it wasn’t originally intended for?
How might a system function well for people across different use conditions and contexts, including ones that it wasn’t originally intended for?
Privacy and security
AI systems should be secure and respect privacy.
How might a system be designed to support privacy and security?
How might a system be designed to support privacy and security?
Inclusiveness
AI systems should empower everyone and engage all people, regardless of their backgrounds.
How might a system be designed to be inclusive for people of all abilities?
Transparency
AI systems should be understandable.
How can we ensure that people correctly understand the capabilities of a system?
How can we ensure that people correctly understand the capabilities of a system?
Accountability
People should be accountable for AI systems.
How can we create oversight so that humans can be accountable and in control?
