NIST AI RMF Podcast 08 - OECD Framework For Classifying AI Systems

Organization for Economic Co-operation and Development Framework for Classifying AI Systems provides a structured method for categorizing AI systems based on their context, capabilities, and potential impact. Rather than ranking systems as simply “high” or “low” risk, the framework analyzes AI across multiple dimensions, including the system’s purpose, the data it uses, its degree of autonomy, the human involvement in decision-making, and the severity and scale of potential outcomes. It emphasizes lifecycle thinking—from design and development to deployment and monitoring—while encouraging policymakers and organizations to consider how AI systems interact with social, legal, and economic environments. The framework complements the OECD AI Principles by offering practical guidance for understanding risk profiles, supporting regulatory clarity, and promoting responsible, transparent, and accountable AI governance across sectors and jurisdictions.