Evolving AI Risk Management: A Maturity Model based on the NIST AI Risk Management Framework

Understand

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 and selective at best.