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Ai Principles

nounid 4727·updated Aug 28, 2026
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[An overarching concept, value, belief, or norm that guides AI development, testing, and deployment across the AI lifecycle. The OECD] identifies five complementary values-based principles for the responsible stewardship of trustworthy AI and calls on AI actors to promote and implement them: inclusive growth, sustainable development and well-being; human-centred values and fairness; transparency and explainability; robustness, security and safety; and accountability.

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Framework100%manual revieweval-seeds-v0.4-2026-05-14

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Ai Principles's
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Framework definitions

Recommendation of the Council on Artificial Intelligence1 senseview framework →
§1
[An overarching concept, value, belief, or norm that guides AI development, testing, and deployment across the AI lifecycle. The OECD] identifies five complementary values-based principles for the responsible stewardship of trustworthy AI and calls on AI actors to promote and implement them: inclusive growth, sustainable development and well-being; human-centred values and fairness; transparency and explainability; robustness, security and safety; and accountability.
Legacy lexicon import1 senseview framework →
§1 · legacy_primary
[An overarching concept, value, belief, or norm that guides AI development, testing, and deployment across the AI lifecycle. The OECD] identifies five complementary values-based principles for the responsible stewardship of trustworthy AI and calls on AI actors to promote and implement them: inclusive growth, sustainable development and well-being; human-centred values and fairness; transparency and explainability; robustness, security and safety; and accountability.
DR-088 backfill from the noun definition column

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