Published: 2022

OECD Framework for the Classification of AI Systems

CATEGORIES

RISK-BASED PROCESS SAFETY ELEMENTS

Research Summary

This OECD paper provides a structured method for classifying AI systems by context, data and inputs, model characteristics, task, output, and potential impacts on people and organizations. It is not a process safety document, but it is highly relevant to PSM because AI risks depend heavily on deployment context. The same algorithm may be low risk in document search but high consequence if used to support operating decisions, safety-critical maintenance prioritization, or hazard evaluation. The OECD classification framework can help PSM practitioners characterize AI use cases before assigning governance controls, human review requirements, validation depth, and documentation expectations. It is a useful front-end screening tool for determining whether an AI application belongs in routine IT governance or in a stricter safety assurance process. Note that this was published 10 months BEFORE the public release of ChatGPT. So the models and products discussed in this document are not the foundation models commonly used today.

AUTHORS

Organisation for Economic Co-operation and Development (OECD)

CITATIONS

OECD, “OECD Framework for the Classification of AI Systems,” OECD Digital Economy Papers, no. 323, OECD Publishing, Paris, Feb. 2022.

STAY INFORMED

AI & Process Safety Updates

New research, practical insights, and AI applications for process safety.
Research updates from PSM.ai and Gateway Group. Unsubscribe anytime.

STAY INFORMED

AI & Process Safety Updates

New research, practical insights, and AI applications for process safety.
Research updates from PSM.ai and Gateway Group. Unsubscribe anytime.