NIST AI RMF Podcast 06 - NIST AI 100-3 - The Language of Trustworthy AI

National Institute of Standards and Technology AI 100-3, The Language of Trustworthy AI, establishes a shared vocabulary to support consistent understanding and implementation of trustworthy artificial intelligence. The publication clarifies key concepts such as reliability, robustness, safety, security, resilience, privacy, fairness, accountability, transparency, and explainability, emphasizing that these characteristics are interconnected and context-dependent. By standardizing terminology, the report helps organizations, policymakers, and researchers communicate more precisely about AI risks, controls, and governance practices. It supports the broader AI Risk Management Framework by reducing ambiguity in how trustworthiness is defined and operationalized across sectors. Ultimately, NIST AI 100-3 promotes clearer communication, improved collaboration, and more effective governance, enabling stakeholders to design, evaluate, and deploy AI systems that align with societal values and organizational objectives.