Responsible AI at Microsoft
Explore the tools, practices, and policies we’ve created to uphold our responsible AI principles.
Responsible AI at Microsoft
Our commitment to responsible AI
At Microsoft we're committed to responsibly designing, building, and releasing AI technologies—keeping humans at the center and guided by our principles. We’ve distilled our commitment into six core values:
- Fairness
- Reliability and safety
- Privacy and security
- Transparency
- Accountability
- Inclusiveness
News and insights
Explore Microsoft’s approach to responsible AI through our policies, research and engineering.
Research
AI Diffusion Report: Where AI is most used, developed, and built
Research
Advancing AI to meet the needs of the global majority
Policy
Cyber defense insights from 2025 Microsoft Digital Defense Report
Research
Advancing AI testing and evaluation with learnings from science and industry
Policy
Sharing updates to our practices in the 2025 Responsible AI Transparency Report
Policy
Introducing Microsoft’s European digital commitments
Research
Evaluating and understanding progress in AI
Policy
Learn how Microsoft is helping organizations navigate and comply with the European Union AI Act.
Engineering
Identifying potential risk in more than 100 generative AI products
Research
Introducing Phi-4: A 14-billion parameter language model
Research
Streamlining ergonomics for developers and users
Research
Advancing run-time strategies for next-generation foundation models
Policy
Protecting the public from abusive AI-generated content
Policy
Combatting AI deepfakes: our participation in the 2024 political conventions
Engineering
Supporting responsible innovation with tools in Azure AI
Policy
Applying Microsoft privacy commitments to AI
Engineering
Spotlighting how Microsoft protects AI platforms against cyberthreats
Policy
Combating abusive AI-generated content: a comprehensive approach
Policy
Outlining AFL-CIO and Microsoft’s goals for their tech-labor partnership on AI
Policy
Addressing customer concerns with our Customer Copyright Commitment
Policy
Advancing safe, secure, and trustworthy AI
Policy
Promoting responsible development through the Frontier Model Forum
Policy
Addressing the A to Z of responsible AI
Policy
Supporting responsible AI journeys with our customer commitments
Research
Reflecting on AI and the future of human flourishing
Policy
Standing up for democratic values and protecting the stability of cyberspace
Research
Researching open-source tools for responsible AI from Microsoft
Research
Advancing human-centered AI through responsible AI research
Engineering
Sharing security best practices from the Microsoft AI Red Team
Policy
Cyber defense insights from 2025 Microsoft Digital Defense Report
Policy
Sharing updates to our practices in the 2025 Responsible AI Transparency Report
Policy
Introducing Microsoft’s European digital commitments
Policy
Protecting the public from abusive AI-generated content
Policy
Combatting AI deepfakes: our participation in the 2024 political conventions
Policy
Learn how Microsoft is helping organizations navigate and comply with the European Union AI Act.
Policy
Applying Microsoft privacy commitments to AI
Policy
Advancing safe, secure, and trustworthy AI
Policy
Promoting responsible development through the Frontier Model Forum
Policy
Addressing customer concerns with our Customer Copyright Commitment
Policy
Standing up for democratic values and protecting the stability of cyberspace
Policy
Addressing the A to Z of responsible AI
Policy
Supporting responsible AI journeys with our customer commitments
Policy
Combating abusive AI-generated content: a comprehensive approach
Policy
Outlining AFL-CIO and Microsoft’s goals for their tech-labor partnership on AI
Research
AI Diffusion Report: Where AI is most used, developed, and built
Research
Advancing AI to meet the needs of the global majority
Research
Advancing AI testing and evaluation with learnings from science and industry
Research
Evaluating and understanding progress in AI
Research
Introducing Phi-4: A 14-billion parameter language model
Research
Streamlining ergonomics for developers and users
Research
Advancing run-time strategies for next-generation foundation models
Research
Reflecting on AI and the future of human flourishing
Research
Researching open-source tools for responsible AI from Microsoft
Research
Advancing human-centered AI through responsible AI research
Engineering
Identifying potential risk in more than 100 generative AI products
Engineering
Supporting responsible innovation with tools in Azure AI
Engineering
Sharing security best practices from the Microsoft AI Red Team
Engineering
Spotlighting how Microsoft protects AI platforms against cyberthreats
Build your business with trustworthy AI
Discover how safe and secure AI business practices can enhance performance and effectively drive impact.
Tools and practices
Find resources to help you assess, understand, and make more informed decisions about AI development and use.
Workbook
Human-AI Experience (HAX) Workbook
Help your organization define and implement best practices for human-AI interaction.
Blog
Build secure and trustworthy apps with Azure AI
Explore product capabilities to strengthen the security, safety, and privacy of AI systems.
Toolkit
Responsible AI Dashboard
Access a suite of tools to help you create a customized, end-to-end responsible AI experience.
Policy
Advancing AI policy
Discover the latest perspectives on AI policy from Microsoft experts.
Blog
Applying learnings from other domains to AI evaluation and testing
White paper
Frontier Governance Framework—manage risks from advanced AI models
Blog
Advancing American AI
Blog
Unlocking the economic potential of the US generative AI ecosystem
Blog
Accelerating sustainability with AI
Blog
Advancing prosperity in the AI era
Blog
The global governance of AI
Blog
Governing AI: A blueprint for the future
Podcast
Meeting the AI moment
Blog
Reflecting on our responsible AI program
Blog
Global Accessibility Awareness Day: Accessibility at the heart of innovation
Blog
Making IP (intellectual property) a tool for solving big problems
Podcast
Tools and weapons with Brad Smith
Blog
Advancing AI governance in Japan
Blog
Considerations for AI governance in Canada
Blog
Governing AI in Africa
Blog
India’s AI opportunity
Blog
Advancing AI governance in Europe and internationally
Making responsible AI attainable
Explore how Microsoft is fostering collaboration and helping everyone use AI responsibly.
Trustworthy AI at Microsoft
Watch a panel of AI leaders discuss how to build and scale secure, responsible AI worldwide.
Global voices on AI progress
Discover how diverse perspectives are shaping responsible AI worldwide. Read the blog to learn more.
Navigating the European Union AI Act
Discover resources outlining Microsoft’s approach to innovating in line with the European Union AI Act.
Explore the business case for responsible AI
This whitepaper offers guidance to business and technology leaders on how to systematically build trustworthy AI.
Advancing AI responsibly
Explore discussions and global perspectives on inclusive AI, such as its impact on society.
UNESCO and Microsoft partner to advance responsible AI
UNESCO and Microsoft are partnering to develop joint initiatives that promote and implement recommendations on ethical AI.
Microsoft to join Framework for Collective Action on Synthetic Media
See how Microsoft plans to contribute to this framework created by Partnership on AI.
Transform your business with Microsoft AI
Explore how to plan, strategize, and scale AI projects responsibly in this learning path.
Frequently asked questions
- Responsible AI is a set of steps we take to make sure that AI systems are trustworthy and uphold societal principles. It involves working through issues such as fairness, reliability and safety, privacy and security, inclusiveness, transparency and accountability. And thinking deeply about the ways that we design, build, and operate AI systems.
- Microsoft ensures fairness in its AI systems through a comprehensive approach that includes principles, practices, and tools designed to mitigate bias and promote inclusivity.
Microsoft's responsible AI principles include fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability. These principles guide the development and deployment of AI systems to ensure they treat everyone equally and prevent discrimination based on personal characteristics. Microsoft also emphasizes the importance of validating AI models responsibly to enhance fairness and alignment with reality. - When using generative AI tools, ethical considerations include addressing bias and fairness, ensuring privacy and security, maintaining transparency and accountability, promoting inclusiveness, and ensuring reliability and safety. It's also important to ensure accuracy and honesty, keep human oversight, develop ethical decision-making frameworks, comply with legal and regulatory requirements, and avoid harmful bias. These steps help ensure responsible and fair use of AI technologies.
- To introduce AI responsibly, organizations should develop a Responsible AI Standard, like Microsoft's, covering principles such as fairness, reliability, privacy, and inclusiveness.
Here are additional steps organizations may take to ensure responsible AI use:- Establish an Office of Responsible AI to oversee ethics and governance.
- Implement AI governance tools like the Microsoft Responsible AI Dashboard to monitor and manage AI systems.
- Engage stakeholders across the organization and provide training on responsible AI principles and practices.
- Microsoft Copilot remembers details that matter to your daily life while keeping your personal data secure and protecting yourprivacy. You can always manage your privacy preferences in your Copilot Privacy settings.
When you’re using Copilots at work, all your existing security and compliance requirements are inherited, so only people with the right permissions can access the content it generates.
As a company, Microsoft is committed to providingtrustworthy AI—with decades of research, customer feedback, and learnings informing the capabilities that deliver privacy, safety, and security.
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