Empowering responsible AI practices | Microsoft AI
WEBExplore how Microsoft is committed to advancing AI in a way that is driven by ethical principles that put people first.
What is responsible AI? - Microsoft Support
WEBAs Artificial intelligence (AI) plays a larger role in our daily lives, it's more important than ever that AI systems are built to provide a helpful, safe, and trustworthy experience for everyone. This is why Microsoft develops and deploys …
Microsoft Responsible AI Transparency Report | Microsoft CSR
WEBDiscover how we develop AI responsibly, apply responsible AI practices to generative AI releases, support customers as they build AI applications, and grow our responsible AI program.
Responsible AI Principles and Approach | Microsoft AI
WEBThe Microsoft Responsible AI Standard. Explore the playbook we use for building AI systems responsibly. Get the Standard See the reference guide. 3+ years of development and refinement. Authored by 30+ subject matter experts. Includes 6 principles and 17 goals. How Microsoft implements responsible AI. Policy. Research. Engineering.
Microsoft’s framework for building AI systems responsibly
WEBJun 21, 2022 · The Responsible AI Standard sets out our best thinking on how we will build AI systems to uphold these values and earn society’s trust. It provides specific, actionable guidance for our teams that goes beyond the high-level principles that have dominated the AI landscape to date.
WEBThe Responsible AI Standard is the product of a multi-year effort to define product development requirements for responsible AI. We are making available this second version of the Responsible AI Standard to share what we have learned, invite feedback from others, and contribute to the discussion about building better norms and practices around AI.
Responsible AI Tools and Practices | Microsoft AI
WEBDiscover tools that can help your organization map, measure, and manage AI risks throughout the development cycle to reduce the risk of harm.
Responsible and trusted AI adoption - Cloud Adoption Framework
WEBAug 28, 2024 · Microsoft outlines six key principles for responsible AI: fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability. These principles are essential to creating responsible and trustworthy AI as it moves into mainstream products and services throughout your AI adoption journey.
Providing further transparency on our responsible AI efforts
WEBMay 1, 2024 · In this inaugural annual 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. First, we provide insights into our ...
What is Responsible AI - Azure Machine Learning | Microsoft Learn
WEBSep 13, 2024 · Microsoft developed a Responsible AI Standard. It's a framework for building AI systems according to six principles: fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability.
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