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Responsible AI at Microsoft

Explore the tools, practices, and policies we’ve created to uphold our responsible AI principles.
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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 that remain our foundation:

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.
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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

We’re introducing new 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.
Policy

Advancing AI policy

Discover the latest perspectives on AI policy from Microsoft experts.

Making responsible AI attainable

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

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 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 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

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