We’re committed to making sure AI systems are developed responsibly and in ways that warrant people’s trust.
Around the time GPT-4 was making headlines for acing standardized tests, Microsoft researchers and collaborators were putting other AI models through a different type of test—one designed to make the models fabricate information.
Today, we’re excited to share Global Governance: Goals and Lessons for AI, a collection of external perspectives on international institutions from different domains, brought together with our own thoughts on goals and frameworks for global AI governance.
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.
We have collected a set of resources that encompass best practices for AI governance, focusing on security, privacy and data governance, and responsible AI.
Our approach to Responsible AI is built on a foundation of privacy, and we remain dedicated to upholding core values of privacy, security, and safety in all our generative AI products and solutions.
There are a few common pathways for how to apply AI to reach your goals.
We are announcing our “AI Access Principles” at the Mobile World Congress in part to address Microsoft’s growing role and responsibility as an AI innovator and a market leader.
Watch this webinar to learn how your organization can unlock productivity, build your AI capability, and innovate with trust at the core.
This past year was one of technology’s most exciting with the emergence of generative AI, as leaders everywhere considered the possibilities it represented for their organizations.
Where do you start as you embark on the digital transformation journey now powered by AI?