Hak Konten 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.
Pitakenan-pitakenan ingkang dipunsinaoni
01
Idin konten miturut panganggé, miturut kadaleman, ngluwihi robots.txt
02
Atribusi, watesan kutipan, saha aturan retensi
03
Cadhangan kanggé latihan saha panganggé komersial
04
Alur lisensi, token lisensi, log audit
Whitepaper gegayutan
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Lapisan spesifikasi ingkang saged dipunwaos mesin kanggé ndeklarasiaken hak konten AI saha alur kerja lisensi — saking crawling AI saha hak konten ngantos web kawruh ingkang saged nindakaken transaksi sacara mesin.
- 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 Argumen ékonomi-politik: penilaian AI ing skala triliunan nyiptakaken tekanan legitimasi kanggé lisensi konten kanthi tataran saha pambagi manfaat umum — data dados kabagi tataran, sanès namung mundhak awis.
- 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.