AI مواد جا حق
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.
زيرِ اڀياس سوال
01
robots.txt کان اڳتي في-استعمال، في-کوهه مواد اجازتون
02
حواله، اقتباس جون حدون، ۽ زخيري جا قاعدا
03
ٽريننگ ۽ تجارتي-استعمال جون گنجائشون
04
لائسنسنگ عمل، لائسنس ٽوڪن، آڊٽ لاگز
لاڳاپيل وائيٽ پيپرز
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer AI مواد جي حقن ۽ لائسنسنگ عملن جي اعلان لاءِ هڪ مشين پڙهڻ جوڳو تفصيلي تہ — AI ڪرالنگ ۽ مواد جي حقن کان وٺي مشين-قابلِ ليڻ-ڏيڻ واري علم جي ويب تائين.
- 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 هڪ سياسي-معاشي دليل: کرب پيماني جي AI ملهه درجيوار مواد لائسنسنگ ۽ عوامي فائدي جي ورهاست لاءِ جواز جو دٻاءُ پيدا ڪري ٿي — ڊيٽا درجيوار ٿئي ٿي، مهانگو نه.
- 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.