Mafên Naveroka AI
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.
Pirsên di bin lêkolînê de
01
Destûrên naverokê yên li gorî bikaranîn û kûrahiyê, ji robots.txt wêdetir
02
Jêderdayîn, sînorên perçeyan, û rêzikên parastinê
03
Parastina perwerdekirin û bikaranîna bazirganî
04
Herikînên lîsanskirinê, tokenên lîsansê, tomarên teftîşê
Pirtûkên spî yên têkildar
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Qateke taybetmendiyên makîne-xwendbar ji bo daxuyandina mafên naveroka AI û herikînên lîsanskirinê — ji gerîna AI û mafên naverokê heta webeke zanînê ya ku danûstendinên makîneyî lê pêkan in.
- 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 Argumaneke aboriya siyasî: nirxandinên AI yên bi refa trîlyonan zextek ji bo meşruiyetê li ser lîsanskirina naverokê ya bi ast û parvekirina berjewendiya giştî çêdikin — dane dibin ast-ast, ne (tenê) buha.
- 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.