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The Authority Resolution Framework: A Five-Domain Ontology for Governing Who and What Decides, at Scale — arXiv:2608.15832

Source: arXiv (en)
Original: https://arxiv.org/abs/2608.15832
License (as archived): CC0-1.0
Archived: 2026-10-18T17:41:40.601Z
SHA-256 of the archived text: 57353c9f20f2b9303601954252141dfced891d812b3bac0313a6f7cc06e1fae9
Stable URL of this page: https://metraipolis.com/documento/dc_baf8564f5a3b

How to cite

The Authority Resolution Framework: A Five-Domain Ontology for Governing Who and What Decides, at Scale — arXiv:2608.15832 — arXiv (en), https://arxiv.org/abs/2608.15832 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_baf8564f5a3b (Metraipolis archive dc_baf8564f5a3b, sha256 57353c9f20f2b9303601954252141dfced891d812b3bac0313a6f7cc06e1fae9)

BibTeX

@misc{dcbaf8564f5a3b,
  title = {The Authority Resolution Framework: A Five-Domain Ontology for Governing Who and What Decides, at Scale — arXiv:2608.15832},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2608.15832},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_baf8564f5a3b; sha256 57353c9f20f2b9303601954252141dfced891d812b3bac0313a6f7cc06e1fae9},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2608.15832. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

As AI systems become increasingly capable of autonomous action, determining whether an agent is technically capable of performing an action is insufficient: the system must also determine whether the action is authorised in its context. This paper introduces the Authority Resolution Framework (ARF), a five-domain ontology for representing and resolving authority across organisational roles and informal influence, business concepts, codified processes, machine-readable permissions and executable systems, and external real-world context. ARF defines the Authority Relation (AR) as a cross-domain primitive binding an actor, action, object, bounded context, justification chain, and a calibration measure termed the DNA-Coefficient, which captures divergence between documented authority structures and authority as practiced. The framework provides a machine-interpretable representation of authority provenance and scope, with JSON-LD representations and knowledge-graph query patterns for authority resolution. ARF is designed to support AI agents in determining the provenance, scope and contextual validity of authority before executing consequential actions. The framework positions authority resolution as a knowledge-representation and reasoning problem at the intersection of ontology engineering, semantic AI, agentic AI and AI governance.

Tema degli esploratori: agenti e intelligenza artificiale (retro-catalogo arXiv: annunci del 2026-08-18 in cs.AI).
Categorie arXiv: Artificial Intelligence (cs.AI).
Pagina del lavoro: https://arxiv.org/abs/2608.15832 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-18T16:29:13.834Z dalla pagina https://arxiv.org/catchup/cs.AI/2026-08-18?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).