Understanding NIST's AI Risk Management Framework (AI RMF 1.0)
This video offers a detailed breakdown of the NIST AI Risk Management Framework (AI RMF 1.0) a critical guide designed to support organizations in identifying, assessing, and managing the unique risks associated with artificial intelligence systems. Unlike traditional software, AI introduces new challenges such as data dependency, emergent behavior, and evolving risk profiles.
Learn how the AI RMF’s four key functions-GOVERN, MAP, MEASURE, and MANAGE-help navigate risks across the AI lifecycle, from design to deployment. We’ll explore the seven essential characteristics of trustworthy AI, including transparency, fairness, explainability, safety, and privacy enhancement.
Whether you're a policymaker, developer, researcher, or enterprise leader, this framework provides a flexible and voluntary approach to building responsible and trustworthy AI systems across industries
This video offers a detailed breakdown of the NIST AI Risk Management Framework (AI RMF 1.0) a critical guide designed to support organizations in identifying, assessing, and managing the unique risks associated with artificial intelligence systems. Unlike traditional software, AI introduces new challenges such as data dependency, emergent behavior, and evolving risk profiles.
Learn how the AI RMF’s four key functions-GOVERN, MAP, MEASURE, and MANAGE-help navigate risks across the AI lifecycle, from design to deployment. We’ll explore the seven essential characteristics of trustworthy AI, including transparency, fairness, explainability, safety, and privacy enhancement.
Whether you’re a policymaker, developer, researcher, or enterprise leader, this framework provides a flexible and voluntary approach to building responsible and trustworthy AI systems across industries
