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Frequently Asked Questions
What is GitHub's commitment to AI?
GitHub is committed to the advancement of safe, secure, and trustworthy AI. We believe in the power of AI to enhance efficiency and innovation across the software development life cycle to increase developer happiness. From GitHub Copilot to hosting open source models, GitHub continues to ensure that AI advancements are accessible and beneficial to all.
What standard does GitHub follow for AI?
GitHub follows Microsoft's Responsible AI Standard in designing, building, and testing its AI systems in our products. The Microsoft RAI Standard has six principles–accountability, transparency, fairness, reliability & safety, privacy & security, and inclusiveness–that product teams consider in order to responsibly develop and deploy generative AI systems. These principles align with our commitment to develop safe, secure, and trustworthy AI systems. Furthermore, the implementation of these six principles align with the National Institute for Standards and Technology (NIST) AI Risk Management Framework (RMF) – govern, map, measure, and manage.
How does GitHub drive Responsible AI practices within its organization?
Within GitHub, our Responsible AI Champions help map, measure, and manage risks associated with using generative AI in coding.
What assessments and reviews has GitHub completed for its AI systems?
GitHub has completed a Responsible AI Impact Assessment as well as security and privacy reviews to map different risks associated with its AI products.
Where can I learn more about GitHub's responsible principles in AI development?
You can learn more by reading the Responsible AI Transparency Report. The report includes a case study on how GitHub mapped and managed key risks and measured the effectiveness of GitHub Copilot and Copilot Chat on developer productivity.
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