Uburenganzira ku Birimo bya 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.
Ibibazo Birimo Kwigwa
01
Uburenganzira ku birimo bushingiye ku kigero cy'ikoreshwa n'urwego, burenga robots.txt
02
Kwerekana inkomoko, imbibi z'ibyavuye mu nyandiko, n'amategeko yo kubika
03
Kubungabunga uburenganzira bwo Kwitoza n'Ikoreshwa mu Bucuruzi
04
Inzira zo gutanga uruhushya, tokeni z'uruhushya, inyandiko z'igenzura
Impapuro z'Ubushakashatsi Zifitanye Isano
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Urwego rw'ibisobanuro bisomwa na mudasobwa bigenewe gutangaza uburenganzira ku birimo bya AI n'inzira zo gutanga uruhushya — kuva ku isuzuma ry'urubuga rikorwa na AI n'uburenganzira ku birimo, kugeza ku rubuga rw'ubumenyi rushobora kugirana ibikorwa na mudasobwa.
- 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 Impaka z'ubukungu-politiki: agaciro ka AI kagera ku bihumbi n'ibihumbi bya miliyari gatuma habaho igitutu cy'uko cyemewe cyo gutanga uruhushya ku birimo mu nzego zitandukanye no gusangira inyungu rusange — amakuru aba afite inzego zitandukanye, aho kuba ahenze gusa.
- 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.