Responsible AI: from principles to practice
Welcome to this new blog series dedicated to Responsible AI (RAI), covering conceptual overviews, RAI toolchain in the Azure ecosystem and practical examples of its usage!
Responsible AI at its core is about developing, deploying and managing AI systems in a way that is ethical, secure, and inclusive. Microsoft's commitment to RAI is the result of a long journey of innovation and research, which led us to where we are today, to the point of operationalizing RAI in our products and enabling our customers to do so.
To grasp the fundamentals of Microsoft's RAI standard and framework, you can start by reading this article, which features a lot of helpful learning resources.
Starting by today and every 2 weeks, we are going to publish a blog post focusing on a different aspect or tool enabling developers to innovate responsibly. Such topics include content filtering, evaluations, mitigation strategies, jailbreaks, plus coverage for new responsible AI announcements!
Latest blogs:
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Blog |
Publish date |
|
20th September |
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|
2nd October |
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| Evaluating generative AI: Best practices for developers - Microsoft Community Hub |
16th October |
*This list will be updated regularly, so come back to check the latest content.
Don’t miss this learning opportunity and embark on a journey to safeguard your AI system from the latest threats and mitigate risks associated to content generation.
