Responsible AI Principles

These six principles lay the foundation of Microsoft's AI efforts:

• Fairness – Microsoft aims to design AI systems that ensure quality of service, resource availability, and minimize potential stereotyping based on demographics, culture, or other factors.

• Reliability and safety – Microsoft develops AI systems in alignment with their design ideas, values, and principles to avoid creating harm. 

• Privacy and security – With an increased reliance on data to develop and train AI systems, we've established requirements to ensure that data is not leaked or disclosed.

• Inclusiveness – Microsoft's goal is for AI systems to empower and engage global communities. Collaborations with under-served minority communities help in planning, testing, and building these systems.

• Transparency – Creators of AI systems should be open about the usage and limitations of AI, ensuring that everyone understands AI behavior.

• Accountability –  Accountability for technology impact is emphasized. For Microsoft, this involves consistently applying our principles in all activities.

Click here to learn more about our AI principles.

Microsoft's Responsible AI standard

Microsoft's Responsible AI Standard comprises company-wide rules to ensure AI technologies are developed and deployed in line with Microsoft's AI principles.

Microsoft integrates strong internal governance practices across the company, updating our Responsible AI Standard to improve its concreteness, actionability, and integration into existing engineering practices.

A thoughtful, cross-discipline approach consults experts within and beyond Microsoft to ensure inclusiveness and forward-thinking. This Responsible AI Standard serves as a framework for the practice of responsible AI and evolving regulatory requirements.

Use of data

Microsoft's privacy and data protection approach is based on the belief that customers own their data. Products and services are built with privacy by design. Clear privacy principles include transparency in privacy practices, offering meaningful privacy choices, and responsibly managing stored and processed data.

To learn more, see responsible AI in action at Microsoft.