Hawliau Cynnwys 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.
Cwestiynau dan astudiaeth
01
Caniatâd cynnwys fesul defnydd, fesul dyfnder, y tu hwnt i robots.txt
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Priodoli, cyfyngiadau darn, a rheolau cadw
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Cadwraethau hyfforddi a defnydd masnachol
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Llifau trwyddedu, tocynnau trwydded, cofnodion archwilio
Papurau gwyn cysylltiedig
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Haen fanyleb ddarllenadwy gan beiriannau ar gyfer datgan hawliau cynnwys AI a llifau gwaith trwyddedu — o grolio AI a hawliau cynnwys i we wybodaeth y gall peiriannau drafodioni arni.
- 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 Dadl economeg wleidyddol: mae prisiadau AI ar raddfa triliwn yn creu pwysau dilysrwydd ar gyfer trwyddedu cynnwys haenog a rhannu budd cyhoeddus — mae data'n dod yn haenog, nid yn ddrud.
- 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.