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
Chapters
ch. 11, AI Defined
Contrast with
Trustworthy AI
Source
1 numbered reference, listed below

Where it is used

2 chapters of the Body of Knowledge use the term. Each link opens the first section that does.

  • 03 · Values & Principles Opening 1 mention
  • 11 · AI Defined Opening 1 mention

Sources

  1. [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)

Definitions of legal terms paraphrase the cited text, which governs. Dated statements are as of .

Cite this term

García Aibar, J. (2026). Responsible-AI principle set. In AI Governance Engineering: The Thesis & Body of Knowledge (v0.5.0), Glossary. https://doi.org/10.5281/zenodo.22956197. https://aigovernanceengineer.com/glossary/responsible-ai-principle-set. CC BY 4.0

BibTeX

@misc{aige2026responsibleaiprincipleset,
  author  = {Jorge García Aibar},
  title   = {{Responsible-AI principle set}},
  note    = {Glossary, AI Governance Engineering: The Thesis \& Body of Knowledge, version 0.5.0},
  year    = {2026},
  doi     = {10.5281/zenodo.22956197},
  url     = {https://aigovernanceengineer.com/glossary/responsible-ai-principle-set}
}