Prava na AI sadržaj
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.
Pitanja koja se proučavaju
01
Dopuštenja za sadržaj po namjeni i po dubini, izvan okvira robots.txt-a
02
Atribucija, ograničenja opsega izvadaka i pravila zadržavanja
03
Pridržana prava za treniranje i komercijalnu upotrebu
04
Tijekovi licenciranja, tokeni licence, revizijski zapisi
Povezane bijele knjige
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Sloj strojno čitljivih specifikacija za deklariranje prava nad AI sadržajem i tijekova licenciranja — od indeksiranja putem AI-ja i prava na sadržaj do znanja spremnog za strojne transakcije.
- 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 Argument političke ekonomije: procjene vrijednosti AI-ja mjerene bilijunima stvaraju pritisak legitimnosti za slojevito licenciranje sadržaja i dijeljenje javne koristi — podaci postaju slojeviti, a ne (samo) skuplji.
- 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.