Searching…
It highlights our continued commitment to responsible innovation, covering how we develop and deploy AI models and systems responsibly; how we support our customers; and how we learn, evolve, and grow.
What are AI principles and why are they important? Are there tools available to help my organization implement responsible AI practices? What are Transparency Notes and how do I use them? Explore how Microsoft puts re...
It is essential to develop AI systems based on trustworthy, fair, and privacy-conscious principles. This video outlines six key principles: accountability, inclusiveness, reliability & safety, fairness, transparency, ...
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, ...
Jun 20, 2025 · Because we’ve invested in operationalizing responsible AI practices at Microsoft for close to a decade, we’re well prepared to comply with these regulations and to empower our customers to do the same.
In 2016, our Chairman and CEO, Satya Nadella, set us on a clear course to adopt a principled and human-centered approach to our investments in Artificial Intelligence (AI). Since then, we have been hard at work to bui...
Jun 5, 2025 · The team created our Microsoft Responsible AI Standard, the cornerstone of our governance framework, and ensures internal AI initiatives align with it. The Responsible AI Standard translates our six prin...
Our work is guided by six core Responsible AI principles, and we take a cross-company approach through cutting-edge research, top-tier engineering systems, and excellence in policy and governance.
Explore Microsoft’s Secure Future Initiative (SFI) progress—see new security capabilities, NIST mapping, and Zero Trust guidance to help reduce risk for customers.
