---
title: "Responsible-AI principle set"
description: "A published set of normative targets for AI, such as the OECD AI Principles, the UNESCO Recommendation, the HLEG requirements or the G7 Hiroshima principles."
canonical: https://aigovernanceengineer.com/glossary/responsible-ai-principle-set
author: "Jorge García Aibar"
license: "CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)"
doi: https://doi.org/10.5281/zenodo.22956197
version: "0.5.0"
updated: 2026-09-24
---

# Responsible-AI principle set

A published set of normative targets for AI, such as the OECD AI Principles [1], the UNESCO Recommendation, the HLEG requirements or the G7 Hiroshima principles. Not the house "principle", which is a rule of method; a principle set counts as applied only when an artefact evidences it.

- Developed in: [ch. 11, Responsible-AI principle sets, engineered](https://aigovernanceengineer.com/bok/ai-defined#responsible-ai-principle-sets-engineered)
- Chapters: [ch. 11, AI Defined](https://aigovernanceengineer.com/bok/ai-defined)
- Contrast with: [Trustworthy AI](https://aigovernanceengineer.com/glossary/trustworthy-ai)
- In the glossary chapter: https://aigovernanceengineer.com/bok/glossary#t-responsible-ai-principle-set

## Sources

[1] Recommendation of the Council on Artificial Intelligence, OECD/LEGAL/0449 (adopted 22 May 2019; AI-system definition revised 8 Nov 2023; revised 3 May 2024; five principles and five recommendations; 1.3 enables people adversely affected to challenge an output; definitions of AI system, lifecycle and AI actors). OECD. 2024-05-03. https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0449 (verified: primary)