Economia Democratica da la Rait da IA
L'economia politica da la IA e dal cuntegn: pay-per-crawl, dividends da datas, funds sovrans dad IA, pools da retribuziun per creatricas e creaturs, martgads da datas graduads, e co il valur extrait dal savair public po fluir enavos a quels che l'han producì.
Dumondas en examinaziun
01
Utilisaziun gratuita da datas cunter valitaziuns da la IA en bilíuns
02
La tesa dal martgà da datas graduà: las datas daventan graduadas, betg simplamain pli chars
03
Participaziun dal public als retgavs da datas e dividends da la IA
04
Martgads da datasets verifitgads e licenziaziun collectiva
Whitepapers colliads
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer In nivel da specificaziun leschibel per maschinas per declarar dretgs da cuntegn IA e process da licenziaziun — dal crawling da IA e dals dretgs da cuntegn enfin in web da savair abel da transacziuns automatisadas.
- 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 In argument da l'economia politica: valitaziuns da la IA en la dimensiun da bilíuns crean ina pressiun da legitimità per ina licenziaziun da cuntegn graduada e per la participaziun dal public a l'utilitad — las datas daventan graduadas, betg simplamain pli chars.
- 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.