Permiso di Siña di AI
Si AI por siña, te ki profundidad, pa ki propósito, i bou di ki obligacion. Wordu lesá no ta wordu usá pa siña; “no prohibí” no ta “aprendibel”. AIRS i AILP ta convertí permiso di siña den un spektro gradual i lesibel pa mashin.
Preguntanan bou di studio
01
Profundidad di siña: indexacion, embedding, afinamento, entrenamento, destilacion
02
Pakiko abertura no definí ta wordu limpiá afó di pipelinenan di entrenamento
03
Abertura protocolisá: hasiendo bon boluntad ehekutabel pa mashin
04
Modelonan di kompensacion ligá na profundidad di siña
Buki blanku relacioná
- 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.
- 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.
- 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.