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Responsible AI at Microsoft

Explore the tools, practices, and policies we’ve created to uphold our responsible AI principles.
2025 RAI Transparency Report
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
See our principles

News and insights

Explore Microsoft’s approach to responsible AI through our policies, research and engineering.
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Policy

We need to act with urgency to address the growing AI divide

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Research

AI Diffusion Report: Where AI is most used, developed, and built

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Research

Advancing AI to meet the needs of the global majority

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Policy

Cyber defense insights from 2025 Microsoft Digital Defense Report

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Research

Advancing AI testing and evaluation with learnings from science and industry

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Policy

Sharing updates to our practices in the 2025 Responsible AI Transparency Report

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Policy

Introducing Microsoft’s European digital commitments

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Research

Evaluating and understanding progress in AI

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Policy

Learn how Microsoft is helping organizations navigate and comply with the European Union AI Act.

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Engineering

Identifying potential risk in more than 100 generative AI products

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Research

Introducing Phi-4: A 14-billion parameter language model

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Research

Streamlining ergonomics for developers and users

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Research

Advancing run-time strategies for next-generation foundation models

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Policy

Protecting the public from abusive AI-generated content

Learn how
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Policy

Combatting AI deepfakes: our participation in the 2024 political conventions

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Engineering

Supporting responsible innovation with tools in Azure AI

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Policy

Applying Microsoft privacy commitments to AI

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Engineering

Spotlighting how Microsoft protects AI platforms against cyberthreats

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Policy

Combating abusive AI-generated content: a comprehensive approach

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Policy

Outlining AFL-CIO and Microsoft’s goals for their tech-labor partnership on AI

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Policy

Addressing customer concerns with our Customer Copyright Commitment

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Policy

Advancing safe, secure, and trustworthy AI

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Policy

Promoting responsible development through the Frontier Model Forum

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Policy

Addressing the A to Z of responsible AI

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Policy

Supporting responsible AI journeys with our customer commitments

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Research

Reflecting on AI and the future of human flourishing

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Policy

Standing up for democratic values and protecting the stability of cyberspace

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Research

Researching open-source tools for responsible AI from Microsoft

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Research

Advancing human-centered AI through responsible AI research

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Engineering

Sharing security best practices from the Microsoft AI Red Team

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Accelerate business growth with trustworthy AI

Learn how to accelerate AI adoption, reduce risk, and strengthen customer confidence by using AI responsibly and securely.
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Tools and practices

Find resources to help you assess, understand, and make more informed decisions about AI development and use.
Explore all
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Workbook

Human-AI Experience (HAX) Workbook

Help your organization define and implement best practices for human-AI interaction.
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Blog

Build secure and trustworthy apps with Azure AI

Explore product capabilities to strengthen the security, safety, and privacy of AI systems.
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Toolkit

Responsible AI Dashboard

Access a suite of tools to help you create a customized, end-to-end responsible AI experience.
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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

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White paper

Frontier Governance Framework—manage risks from advanced AI models

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Blog

Advancing American AI

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Blog

Unlocking the economic potential of the US generative AI ecosystem

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Blog

Accelerating sustainability with AI

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Blog

Advancing prosperity in the AI era

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Blog

The global governance of AI

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Blog

Governing AI: A blueprint for the future

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Podcast

Meeting the AI moment

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Blog

Reflecting on our responsible AI program

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Blog

Global Accessibility Awareness Day: Accessibility at the heart of innovation

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Blog

Making IP (intellectual property) a tool for solving big problems

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Podcast

Tools and weapons with Brad Smith

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Blog

Advancing AI governance in Japan

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Blog

Considerations for AI governance in Canada

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Blog

Governing AI in Africa

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Blog

India’s AI opportunity

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Blog

Advancing AI governance in Europe and internationally

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Making responsible AI attainable

Explore how Microsoft is fostering collaboration and helping everyone use AI responsibly.
Trustworthy AI at Microsoft

Trustworthy AI at Microsoft

Watch a panel of AI leaders discuss how to build and scale secure, responsible AI worldwide.
Watch the video
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Global voices on AI progress

Discover how diverse perspectives are shaping responsible AI worldwide. Read the blog to learn more.
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Navigating the European Union AI Act

Discover resources outlining Microsoft’s approach to innovating in line with the European Union AI Act.
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Explore the business case for responsible AI

This whitepaper offers guidance to business and technology leaders on how to systematically build trustworthy AI.
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Advancing AI responsibly

Explore discussions and global perspectives on inclusive AI, such as its impact on society.
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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.
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Microsoft to join Framework for Collective Action on Synthetic Media

See how Microsoft plans to contribute to this framework created by Partnership on AI.
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Transform your business with Microsoft AI

Explore how to plan, strategize, and scale AI projects responsibly in this learning path.
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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 your privacy. You can always manage your privacy preferences in your Copilot Privacy settings.

    When using Copilot 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 providing trustworthy AI—with decades of research, customer feedback, and learnings informing the capabilities that deliver privacy, safety, and security.

Learn more about AI at Microsoft

AI for Good

See how AI is being used to support environmental, humanitarian, and cultural heritage initiatives.
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Microsoft AI

Find out how you can securely incorporate AI into your organization.
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AI resources for business leaders

Explore in-depth resources, real business outcomes, and expert guidance for successful AI adoption.
See resources

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