Catalog

OECD AI Principles

OECD · pack 0.2.1 · verified against the official source as of 2026-08-30.

Standard / soft law

People should be made aware they are interacting with AI

OECD Principle 1.3 calls for transparency so stakeholders are aware of their interactions with AI systems. Detect user-facing AI interactions with no awareness disclosure. Ethics principle; the values root that many binding disclosure laws localize.

oecd-ai.ai-interaction-awareness · OECD/LEGAL/0449 — Principle 1.3 · official source · jurisdictions: INTL

Standard / soft law

AI actors should provide meaningful information that fosters understanding of AI systems' capabilities and limitations

OECD Principle 1.3(i) calls on AI actors to provide meaningful information that fosters a general understanding of AI systems, including their capabilities and limitations. Detect published AI accuracy or capability figures not accompanied by the conditions and limits under which they were measured. Ethics principle, advisory.

oecd-ai.capabilities-and-limitations · OECD/LEGAL/0449 — Principle 1.3 · official source · jurisdictions: INTL

Standard / soft law

AI decisions about people should be reproducible, not randomised

When an AI system makes or materially influences a decision about a person, the model should be configured so the same inputs produce the same output. Sampling settings that introduce randomness (a non-zero temperature, nucleus sampling, or a varying seed) mean the same applicant can be approved on one run and denied on the next. That is impossible to explain, impossible to contest meaningfully, and impossible to reproduce in an audit or a dispute.

oecd-ai.reproducible-consequential-decisions · OECD/LEGAL/0449 — Principle 1.5 · official source · jurisdictions: INTL