Governansa Léjivel pa Mákina
Regra di governansa ki mákina pode diskubri i ekzekuta: llms.txt, manifestu /ai/, fitxeru di política /.well-known/, Êsquema JSON, token di lisénsa asinadu, i formatu di rejistu di auditoria. Kel sítiu li é mesmu un ezemplu ki ta funsiona.
Pergunta sob studu
01
Di robots.txt pa llms.txt tê manifestu di direitu
02
Konvenson di deskoberta di política na /.well-known/
03
Êsquema JSON komu formatu normativu di spesifikason
04
Kapasidadi di auditoria: rejistu, vershon, proveniénsia
Livrus branku relasionadu
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Un kamada di spesifikason léjivel pa mákina pa declara direitu di konteúdu di IA i fluxu di lisensiamentu — di rastreamentu (crawling) di IA i direitu di konteúdu, tê un web di konhesimentu ki mákina pode transasiona.
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS i AILP ta ekspresa permison di prende di IA ku nuansa, más ainda ki simplismenti permiti/ka permiti — kuzê ki IA pode prende, na ki profundidadi, pa kal uzu, i ku ki kompensason.
- Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Abertura ka definidu ta lê komu insertéza legal pa pipeline di IA i ta ser limpu; sô permison protokolizadu, léjivel pa mákina, ta fazi konteúdu vardaderamenti prendível.
- 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 Un argumentu di ekonomia polítiku: valorizason di IA na eskala di trilhon ta kria presón di lejitimidadi pa lisensiamentu di konteúdu na nível diferenti i partiya di benefísiu públiku — dadu ta pasa pa ser organizadu pa nível, ka apenas pa ser karu.
- 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 Diskursu sobri direitus di IA debe kumesa ka ku pesoalidadi kompletu, má ku protesón étiku mínimu, regra di interason, i prinsípiu kontra abuzu, enkuantu subjetividadi di IA fika insertu.
- 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.