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.
Pertanyaan yang dikaji
01
Izin konten per-penggunaan, per-kedalaman, melampaui robots.txt
02
Atribusi, batas kutipan, dan aturan retensi
03
Pencadangan pelatihan dan penggunaan komersial
04
Alur lisensi, token lisensi, log audit
Whitepaper terkait
- AICR / AICL sebagai Lapisan Koneksi Lisensi Konten AI dan Pembayaran Agentik Lapisan spesifikasi yang dapat dibaca mesin untuk mendeklarasikan hak konten AI dan alur kerja lisensi — dari crawling AI dan hak konten hingga web pengetahuan yang dapat bertransaksi secara 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.
- Pembayaran Konten AI dan Ekonomi Demokratis Jaringan Argumen ekonomi-politik: valuasi AI berskala triliunan menciptakan tekanan legitimasi untuk lisensi konten bertingkat dan pembagian manfaat publik — data menjadi bertingkat, bukan mahal.
- 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.