Responsible AI: from principles to practice

Responsible AI: From Principles to Practice

Welcome to this New blog series devote oneself to ~ Responsible AI Cover (RAI) Conceptual overview, RAI toolchain in the Azure ecosystem, and practical examples of usage!

Responsible AI is about developing, deploying, and managing AI systems in an ethical, safe, and inclusive manner. Microsoft’s commitment to RAI is the result of a long journey of innovation and research that has brought us to where we are today, where we are putting RAI to work in our products and enabling our customers to do the same.

To get a basic understanding of Microsoft’s RAI standards and frameworks, read this first: This articleIt provides a lot of useful learning materials.

Every two weeks from todayWe will be publishing blog posts that focus on other aspects or tools that enable developers to innovate responsibly. These topics include: Coverage of content filtering, ratings, mitigation strategies, jailbreaks, and new responsible AI announcements!

Upcoming blogs:

*This list is updated regularly, so check back for the latest information.

Don’t miss this learning opportunity and begin your journey to protecting AI systems from modern threats and mitigating risks associated with content creation.