Gobernacion Lesibel pa Mashin

Reglanan di gobernacion ku mashin por deskubrí i ehekutá: llms.txt, manifestnan /ai/, archivonan di polítika /.well-known/, JSON Schemas, tokennan di licencia firmá, i formatonan di registro di auditoria. E sitio aki mes ta un ehèmpel funcional.

Preguntanan bou di studio

For di robots.txt bai llms.txt te na manifest di derecho

Konvencionnan di deskubrimento di polítika via /.well-known/

JSON Schema komo formato normativo di specificacion

Auditabilidad: registro, vershon, procedencia

Buki blanku relacioná

AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Un kapa di specificacion lesibel pa mashin pa declará derecho riba kontenido di AI i fluho di trabou di licenciamento — for di indexacion pa AI i derecho di kontenido te na un web di conocemento caminda mashin por hasi transaccion.
AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS i AILP ta expresá permisonan di siña di AI ku matis, mas aya di un simple permití/no permití binario — kico AI por siña, na ki profundidad, pa ki uso, bou di ki kompensacion.
Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Abertura no definí ta lesa komo inseguridad hurídiko pa pipelinenan di AI i ta wordu limpiá afó; solamente permiso protocolisá i lesibel pa mashin ta hasi kontenido genuinamente aprendibel.
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 argumento di economia polítiko: valoracionnan di AI di skala di trillón ta krea presion di legitimidad pa licenciamento di kontenido pa nivel i compartimento di beneficio públiko — data ta bira dividí pa nivel, no simplemente caro.
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 Diskurso tocante derecho di AI mester cuminsa no ku personeria hurídiko completo, sino ku proteccionnan étiko mínimo, normanan di interaccion, i prinsipionan contra abuso, miéntras subhetividad di AI ta keda insegur.
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.