UR
ENT-00001492 · AI Governance / Safety

UNESCO Recommendation on AI Ethics

UNESCO Recommendation on AI Ethics is a AI governance or safety initiative associated with UNESCO, classified in LXKeys.world as AI Governance / Safety.

Niveau IV ConnectéActifDocumenté
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Vue d’ensemble

UNESCO Recommendation on AI Ethics is a ai ethics framework associated with UNESCO. The entity is included because it provides a public reference point for AI governance, evaluation, safety, benchmarking, policy or ecosystem documentation.

Chronologie

  1. 2021First public appearance

    UNESCO Recommendation on AI Ethics entered the documented public record in 2021. This event is retained at the precision supported by the Entry’s reviewed source history.

Capacités

Public documentation anchorAI governance or evaluation relevanceRelationship mappingRegistry context support

Limites connues

The record documents public identity and source context rather than private internal processes.Interpretation depends on the entity category, source scope and publication context.
Détail technique et structuré

Description technique

Structured LXKeys.world registry record for UNESCO Recommendation on AI Ethics. Entity type: AI Governance / Safety; classification: AI Governance / Safety; creator/organization context: UNESCO. Canonical source anchor: https://www.unesco.org/en/artificial-intelligence/recommendation-ethics. The record tracks source authority, first public appearance, timeline, capabilities, limitations, registry status and graph relationships. Automatic refresh is limited to sources explicitly classified as OFFICIAL and enabled for updates; documentary and research references remain non-authoritative unless reviewed.

Tags contrôlés

AI Governance SystemDocumented EntityContemporaryBatch 03 Candidate
Graphe relationnel

UNESCO Recommendation on AI Ethics

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UNESCO Recommendation on AI Ethics
Créé ou maintenu parSortante
UNESCO

UNESCO Recommendation on AI Ethics is associated with UNESCO.

Couche lisible par machine

Données structurées de l’entrée pour les outils humains, les systèmes IA et les clients machine.

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