Microsoft AI / Responsible AI
Principles and approach
We’re committed to making sure AI systems are developed responsibly and in ways that warrant people’s trust.
The Microsoft Responsible AI Standard
Explore Microsoft internal guidance on how to design, build, and test AI systems.
RESOURCES
Responsible AI in action
- How might an AI system allocate opportunities, resources, or information in ways that are fair to the humans who use it?
- How might the system function well for people across different use conditions and contexts, including ones it was not originally intended for?
- How might the system be designed to support privacy and security?
- How might the system be designed to be inclusive of people of all abilities?
- How might people misunderstand, misuse, or incorrectly estimate the capabilities of the system?
- How can we create oversight so that humans can be accountable and in control?
Responsible AI in action
How Microsoft implements responsible AI
Explore how Microsoft empowers employees across the organization to be champions of responsible AI.
- We set rules for enacting responsible AI and clearly define roles and responsibilities for teams involved.
- We foster readiness to adopt responsible AI practices, both within our company and with our customers and partners.
- Review of sensitive use cases helps ensure our responsible AI principles are upheld in our work.
- We work to shape new laws and standards to help ensure that the promise of AI is realized for society at large.
- Aether, Microsoft’s internal AI and ethics committee, performs research and provides recommendations on responsible AI issues.
- When teams have questions about responsible AI, Aether provides research-based recommendations, which are often codified into official Microsoft policies and practices.
- Aether members include experts in responsible AI and engineering, as well as representatives from major divisions within Microsoft.
- Aether organizes working groups focused on issues, analysis, and development of the six responsible AI principles.
- Engineering teams define and operationalize a tooling and system strategy for using AI responsibly.
- Engineering leaders identify and implement engineering practices that integrate responsible AI into everyday work.
- Engineering teams implement compliance tooling to help monitor and enforce responsible AI rules and requirements.
Responsible AI Transparency Report
Explore the inaugural report to see how Microsoft builds, supports customers, and grows a responsible AI community.
30 responsible AI tools with over 100 features
16.6% growth in responsible AI community members
33+ Transparency Notes since 2019
Transparency documents
Understand how our AI technology works, so you can make decisions to create a system that fits your needs.
Take the next step
Get tools to support responsible AI practices
Explore AI policy and regulation
