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Corporate Social Responsibility
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2024 Responsible AI Transparency Report

As a company at the forefront of AI research and technology, we are committed to sharing our responsible AI practices as they evolve.

Developing safe, secure, and trustworthy AI

In this inaugural Responsible AI Transparency Report, we provide insight into how we build applications that use generative AI, make decisions and oversee the deployment of those applications, support our customers as they build their own generative applications, and learn, evolve, and grow as a responsible AI community.
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How we build generative AI systems responsibly

AI is poised to shape the future. Generative AI has accelerated this transformation. Learn more about our recent innovations building on the NIST AI Risk Management Framework to govern, map, measure, and manage risks associated with generative AI.

How we make decisions

For each stage of the map, measure, and manage process for generative AI releases, we’ve built best practices, guidelines, and tools that reflect our learnings from the last year of releasing generative AI systems.
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Deployment safety for generative AI applications

Sensitive Uses program

Read about how one of our products, Copilot for Security, mapped, measured, and managed risks with guidance from the Sensitive Uses team.
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How we support our customers

In addition to building our own AI systems responsibly, we empower our customers with responsible AI tools and features. We share Customer Commitments, tools to support responsible development and provide transparency.

How we learn, evolve, and grow

From our growing internal community to the global responsible AI ecosystem, we continue to push forward what’s possible in developing AI systems responsibly. Here, we share our approach to learning, evolving, and growing by bringing outside perspectives in and sharing learnings.
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Explore Responsible AI at Microsoft

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