AI Content Rights
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.
अध्ययनाधीन प्रश्नहरू
01
robots.txt भन्दा पर प्रति-प्रयोग, प्रति-गहिराइ सामग्री अनुमतिहरू
02
श्रेय, उद्धरण सीमा, र अवधारण नियमहरू
03
प्रशिक्षण र व्यावसायिक-प्रयोग सुरक्षण
04
इजाजतपत्र प्रवाह, इजाजतपत्र token, audit log
सम्बन्धित श्वेतपत्रहरू
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer AI सामग्री अधिकार र इजाजतपत्र वर्कफ्लोहरू घोषणा गर्नका लागि मेसिन-पठनीय विशिष्टि तह — AI क्रलिङ र सामग्री अधिकारदेखि मेसिन-कारोबारयोग्य ज्ञान-वेबसम्म।
- 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 एक राजनीतिक-अर्थशास्त्रीय तर्क: खर्बौं-स्तरका AI मूल्याङ्कनहरूले तहबद्ध सामग्री इजाजतपत्र र सार्वजनिक लाभ-बाँडफाँटका लागि वैधता-दबाब सिर्जना गर्छन् — डेटा महँगो हुँदैन, तहबद्ध हुन्छ।
- 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.