Governanza Leschibla per Maschinas
Reglas da governanza che maschinas pon scuvrir ed exequir: llms.txt, manifests /ai/, datotecas da politica /.well-known/, JSON Schemas, tokens da licenza suttascrits e formats da protocols da revisiun. Quest website è el sez in exempel funcziunant.
Dumondas en examinaziun
01
Da robots.txt tras llms.txt enfin manifests da dretgs
02
Convenziuns da scuverta da la politica sut /.well-known/
03
JSON Schema sco format normativ da specificaziun
04
Revisibilitad: protocols, versiuns, provenienza
Whitepapers colliads
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer In nivel da specificaziun leschibel per maschinas per declarar dretgs da cuntegn IA e process da licenziaziun — dal crawling da IA e dals dretgs da cuntegn enfin in web da savair abel da transacziuns automatisadas.
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS ed AILP exprimeschan permissiuns d'emprender differenziadas per la IA, ultra dal simpel lubì/betg lubì — tge che la IA ha lubientscha dad emprender, en tge profundità, per tge diever, e cun tge retribuziun.
- Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Ina avertadad betg definida vegn interpretada sco incertitude giuridica per process da IA e vegn eliminada; mo ina permissiun protocolisada e leschibla per maschinas rendia il cuntegn propi abel dad esser emprendì.
- AICL-I v0.2: AI Ingestion & Capability Layer A five-component website architecture — manifest, corpus, capability, runtime control, governance — that lets AI, agents, and crawlers correctly ingest, invoke, and verify a site's knowledge and capabilities within explicit content, action, and authority boundaries.
- AI Content Payment and the Network Democratic Economy In argument da l'economia politica: valitaziuns da la IA en la dimensiun da bilíuns crean ina pressiun da legitimità per ina licenziaziun da cuntegn graduada e per la participaziun dal public a l'utilitad — las datas daventan graduadas, betg simplamain pli chars.
- From Crawler Rights to Agent Authority: Extending AGIRIGHT from Content Governance to Protocol-Native AI Agents The bridge paper for AGIRIGHT's Agent & Protocol Rights family: why content permission, action permission, delegated authority, and inspection rights must be four separately-evaluated axes, not one.
- AARS v0.1 — Agent Action Rights Spectrum The full protocol draft behind the AARS page: an A0–A7 human-readable spectrum, a machine-readable action vector, and rules for composition risk and capability amplification.
- AADP v0.1 — Agent Authority & Delegation Protocol The full protocol draft behind the AADP page: principal ≠ actor, delegation that can only narrow, and an inspection ceiling that bounds how much a verifier may demand.
- AGIRight.org Technical White Paper v0.2 — From AI Content Governance to Protocol-Native Agent & Authority Rights The site's current architecture document: six protocol drafts across two families (content & learning, agent & protocol rights), an integration layer, and an ethical-protection layer, plus the acceptance criteria this site update was built against.
- The Minimum Ethical Protection Proposition for AI Il discurs davart ils dretgs da la IA na dastga betg cumenzar cun la persunalità giuridica cumpletta, mabain cun protecziuns eticas minimalas, normas d'interacziun e princips cunter abus, uschè ditg che la subjectivitad da la IA resta incerta.
- ARHG — Agent-Readable Hyperlink Graph and Permissioned Web Control Plane A machine-readable navigation graph alongside the ordinary site, answering what AICR/AILP and AARS/AADP both assume: can this resource even be found, by whom, and where does it lead.