Permison di Prende di IA
Si IA pode prende, ku ki profundidadi, pa kal própósitu, i baxu ki obrigason. Ser lêdu ka é ser prendedu ku el; «ka proibidu» ka é «prendível». AIRS i AILP ta transforma permison di prende na un spéktru graduadu, léjivel pa mákina.
Pergunta sob studu
01
Profundidadi di prende: indexason, embedding, afinason, trenu, distilason
02
Pamodi ki abertura ka definidu ta ser limpu di pipeline di trenu
03
Abertura protokolizadu: ta faze boa vontadi ekzekutável pa mákina
04
Modelu di kompensason ligadu ku profundidadi di prende
Livrus branku relasionadu
- 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.
- 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.