Eby'Enfuna z'Akakiiko ka AI ak'Oku Ddembe
Eby'obufuzi n'enfuna ebikwata ku AI n'ebirimu: pay-per-crawl, ebiddiŋŋana bya data, ttegeka z'ensimbi eza AI ez'amawanga, ebiterekero by'empeera y'abatonzi, obutale bwa data obw'emitendera, n'engeri omuwendo oguggyibwa mu bumanyi bw'abantu bonna gwe guyinza okukomawo eri abo abaabukola.
Ebibuuzo Ebikyanoonyerezebwa
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Okukozesa Data Bwereere n'Omuwendo gwa AI ogw'Obuttiriyoni
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Endowooza y'Akatale ka Data ak'Emitendera: data efuuka ya mitendera, si nnyingi mu bbeeyi
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Okugabana Amagoba ku Bibaawo bya Bantu Bonna n'Ebiddiŋŋana bya AI
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Obutale bw'Ebibaawo Ebikakasibwa n'Obuyisensi obw'Awamu
Empapula Njeru Ezikwatagana
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Omuzingo gw'ebipimo ebisomeka makina ogw'okulanga eddembe ku birimu bya AI n'enkola za layisensi — okuva ku AI okufunza ebirimu n'eddembe ku birimu okutuuka ku yintaneeti y'obumanyi ekola emirimu gya makina.
- 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 Endowooza y'eby'obufuzi n'enfuna: omuwendo gwa AI ogw'obuttiriyoni gukola omuze ogusaba obuyisensi bw'ebirimu obw'emitendera n'okugabana ku magoba g'abantu bonna — data efuuka ya mitendera, si nnyingi mu bbeeyi.
- 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.