IA Contenidopa Derechonkuna
What AI systems may do with content: read, summarize, transform, retrieve, train, commercialize, redistribute. The AICR ruleset and the AICL-C content-licensing layer make these rights declarable and transactable.
Taripasqa tapuykuna
01
Sapa-usay, sapa-ukhu contenido dispuestakuna, robots.txt-manta karu
02
Atribución, extracto límitekuna, hinaspa waqaychay simikuna
03
Yachachiy hinaspa comercial-usay reservakuna
04
Licenciamiento ñankuna, licencia tokenkuna, auditoría qillqakuna
Tupaq yuraq qillqakuna
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Makina ñawinchana especificación capa, IA contenidopa derechonkunata hinaspa licenciamiento ñankunata willanapaq — IA crawling hinaspa contenido derechokunamanta, makina-transaccionana yachay webman.
- 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 Huk política-economía argumento: billón-escala IA valoraciónkunaqa, presión legitimidad ruwan capa-capa contenido licenciamientopaq hinaspa público beneficio compartiypaq — datosqa capa-capa tukun, manataq chaninchasqallachu.
- 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.