Evolving AI Risk Management: A Maturity Model based on the NIST AI Risk Management Framework
Ravit Dotan, Borhane Blili-Hamelin, Ravi Madhavan, Jeanna Matthews, Joshua Scarpino 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 […]