DataBytes | Supporting AI Risk Management in the Analytics Lifecycle

The National Institute of Standards and Technology (NIST) released an AI Risk Management Framework for trustworthy and responsible use of AI and analytics. NIST offers a portfolio of measurements, standards, and legal metrology to provide recommendations that ensure traceability, enable quality assurance, and harmonize documentary standards and regulatory practices.

The NIST framework is very detailed with recommendations across four functions: govern, map, measure, and manage. In this session, Sophia Rowland, Senior Product Manager, ModelOps & MLOps, at SAS, will discuss incorporating these recommendations into the analytics lifecycle. Attendees to this session will gain a greater understanding of trustworthy AI best practices as well as user roles and expectations for building responsible analytics.