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Microsoft Responsible AI

Principles and approach

We're committed to developing AI systems in a way that is transparent, reliable, and worthy of trust.
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The Microsoft Responsible AI Standard

Explore guidance from Microsoft on how to design, build, and test AI systems.
Get the Standard Reference guide
Principles

Defining what’s important

We've identified six principles that we believe should guide AI development and use.

Fairness

AI systems should treat all people fairly.

How might an AI system allocate opportunities, resources, and information in ways that are fair to the humans who use it?
See fairness in action

Reliability and safety

AI systems should perform reliably and safely.

How might a system function well for people across different use conditions and contexts, including ones that it wasn’t originally intended for?
See reliability and safety in action

Privacy and security

AI systems should be secure and respect privacy.

How might a system be designed to support privacy and security?
See privacy and security in action

Inclusiveness

AI systems should empower everyone and engage all people, regardless of their backgrounds.

 

How might a system be designed to be inclusive for people of all abilities?

See inclusiveness in action

Transparency

AI systems should be understandable.

How can we ensure that people correctly understand the capabilities of a system?
See transparency in action

Accountability

People should be accountable for AI systems.

 

How can we create oversight so that humans can be accountable and in control?

See accountability in action

How Microsoft implements responsible AI

Explore how Microsoft empowers employees across the organization to be champions of responsible AI.
  • We set rules for enacting responsible AI and clearly define roles and responsibilities for teams involved.
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  • We foster readiness to adopt responsible AI practices, both within our company and with our customers and partners.
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  • We review sensitive use cases to ensure we are upholding our responsible AI principles.
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  • We work to shape new laws and standards to help ensure that the promise of AI is realized for society at large.
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SECURITY AND COMPLIANCE

The Microsoft 2025 Responsible AI Transparency Report

Our annual responsible AI report reflects a commitment to openness and ethical AI development. Explore the 2025 report to learn how Microsoft:
  • Builds generative AI systems responsibly.
  • Makes decisions about releasing these systems.
  • Helps customers build AI responsibly.
  • Evolves our responsible AI program.

Get the 2025 report Get the 2024 report
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Transparency documents

Transparency documents

Understand how our AI technology works, so you can create a system that fits your needs.

Anomaly Detector

Analyze time series data using timestamps and numerical metrics to receive the anomalous status of each data point along with contributing variables.
Read more

Azure AI Content Safety

Detect harmful content in apps and services using text, image, and multimodal APIs—plus, use custom categories for tailored content moderation needs.
Read more

Azure AI Face service

Enhance efficiency, security, and customer experiences with systems that analyze people’s faces.
Read more

Azure AI Search

Get AI-enhanced tools, APIs, and SDKs for building rich search experiences for diverse content in web, mobile, and enterprise apps.
Read more

Azure Language in Foundry Tools

Azure AI Language in Foundry Tools is a cloud-based service that provides Natural Language Processing (NLP) features for text mining and text analysis.
Read more

Azure OpenAI Service

Use OpenAI models to generate natural language, code, and images. Integrated content filtering and abuse detection is included.
Read more

Azure Video Indexer

Analyze video and audio files with AI to generate insights like detected objects, faces, and transcriptions in more than 60 languages.
Read more

Conversational language understanding

Interpret natural language text so client apps, like chatbots, can understand and act on user requests.
Read more
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Frequently asked questions

  • AI principles are guidelines designed to ensure the responsible development and deployment of AI technologies. These principles are crucial because they help mitigate risks, promote ethical practices, and maximize the benefits of AI for society.

     

    The Responsible AI Standard at Microsoft consolidates essential practices to ensure compliance with emerging AI laws and regulations.

  • Microsoft offers a range of tools and practices to help organizations practice responsible AI.

    Additionally, the Responsible AI Standard at Microsoft helps define product development requirements for responsible AI.
  • Transparency Notes are created to help customers better understand the inner workings of AI technologies and make more informed decisions about their use. They are part of the Responsible AI Standard and are intended to support responsible AI development by providing insights into how AI systems are governed, mapped, measured, and managed.

    Microsoft also offers the Responsible AI Transparency Report, which provides insights into how Microsoft builds apps with generative AI, oversees the deployment of those apps, supports customers as they build their own AI apps, and fosters a responsible AI community.

Discover more

Tools and practices

Get tools to support responsible AI practices
Explore tools
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AI policy and regulation

Discover the latest perspectives on AI policy from Microsoft experts
Explore policies
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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.
Watch the webinar

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