Microsoft Copilot AI in Windows Explore Microsoft products Windows 11 apps Microsoft Store Account profile Download Center Microsoft Store support Returns Order tracking Certified Refurbished Microsoft Store Promise Flexible Payments Education Microsoft in education ...
Microsoft inclusive design principles: Recognize exclusion Solve for one, extend to many Learn from diversity To ensure inclusiveness in your AI system, you should: Comply with laws regarding accessibility and inclusiveness that mandate the procurement of accessible technology. ...
Microsoft is a global leader in Responsible AI, identifying six key principles that should guide AI development and usage. These principles are:Fairness: AI systems should treat all people fairly. Reliability and safety: AI systems should perform reliably and safely. Privacy and security: ...
Microsoft's Responsible AI standard The Responsible AI Standard is the set of company-wide rules that help to ensure we are developing and deploying AI technologies in a manner that is consistent with our AI principles. We are integrating strong internal governance practices across the company, mos...
Read our five Responsible AI principles to help researchers, clinicians and educators discover, advance and apply trusted knowledge.
Microsoft developed aResponsible AI Standard. It's a framework for building AI systems according to six principles: fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability. For Microsoft, these principles are the cornerstone of a responsible and trustworthy...
Setting the stage for a responsible AI framework We believe Artificial Intelligence (AI) has the power to transform business and are committed to helping our clients and our people harness that potential with clear principles and ethical guardrails for the responsible use of AI. The pace o...
Microsoft has createdResponsible AI principlesto govern how machine learning models are designed, build, and tested. These core principles are to ensure that the AI systems that are developed are fair, inclusive, reliable & safe, secure, transparent and accountable. To put these principles into pra...
GitHub: Using generative AI responsibly Why should you prioritize Responsible AI when building a GenAI application? This course on GitHub explores risks (such as generating incorrect information or creating blatantly harmful content) and principles for building AI solutions responsibly. ...
We are approaching Responsible AI (RAI) through a comprehensive strategy centered around people, processes, systems, data, and algorithms, to lower risks while optimizing benefits for our society.