Rættindi til AI-innihald
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.
Spurningar undir kanning
01
Innihaldsloyvir eftir nýtslu og dýpd, longri enn robots.txt
02
Tilskriving, avmarkingar á útdráttarstødd og reglur um goymslutíð
03
Frátøkur fyri venjing og handilsliga nýtslu
04
Lisenseringarrákir, lisenstokenir, endurskoðanarskrár
Skyldar hvítbøkur
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Eitt lag av maskinlesiligum specifikatiónum til at lýsa AI-innihaldsrættindi og lisenseringarferli — frá AI-gjøgnumleiting og innihaldsrættindum til ein kunnleikavev, har maskinur kunnu gera handilsviðurskifti.
- 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 Ein politisk-búskaparlig røksemd: AI-virðismetingar í biljónastødd skapa trýst um lógmætleika fyri stigskift innihaldslisensering og almennan nyttubýti — dátur verða stigskiftar, ikki (bert) dýrari.
- 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.