OECD Framework for the Classification of AI Systems
A user-friendly framework that classifies AI systems and examines their risks across five dimensions (mnemonic PEDMT). Privacy sits under People and planet; training-data collection method sits under Data and input.
The OECD Framework for the Classification of AI Systems is a user-friendly framework for classifying AI systems and examining their risks. Its purposes: promote a common understanding of AI, inform registries or inventories, support sector-specific frameworks, and support risk assessment and risk management.
| Dimension | What it covers |
|---|---|
| 1, People and planet | Who could be affected → human rights, environment, society. Privacy considerations sit in this dimension. |
| 2, Economic context | Sector (healthcare, finance), business function and model, critical or non-critical nature, deployment, impact and scale, technological maturity. |
| 3, Data and input | Data and/or expert input (human knowledge codified into rules). How data was collected, by machine or human, its structure and format. Covers training data and production data. |
| 4, | Computational representation of the environment. Technical type, how it is built (expert knowledge, ML, or both), how it is used (objectives, performance measures). |
| 5, Tasks and output | Tasks performed (recognition, forecasting), outputs and resulting actions, action autonomy, combined task-action systems like autonomous vehicles, evaluation methods. |
PEDMT → "People Expect Decent Model Transparency" → People & planet, Economic context, Data & input, AI Model, Tasks & output.
If a question asks where privacy fits in the OECD framework → People and planet. If it asks where training data collection method fits → Data and input.
Key terms - quick answers
What is “OECD Framework for the Classification of AI Systems”?
What is “PEDMT”?
What is “People and planet”?
What is “Economic context”?
Sources and study method
This independent lesson uses active recall, spaced retrieval and scenario practice. Read the full study method.