Permision Aprantisaz AI
Si AI kapav aprann, ziska ki profonder, pou ki bi, ek dapre ki obligasion. Gagn lir pa mem kouma gagn servi pou aprann; «pa entedi» pa mem kouma «posib pou aprann». AIRS ek AILP transform permision-aprantisaz an enn spektr gradye, lizib-pou-masinn.
Kestion an-letid
01
Profonder aprantisaz: endeksaz, embedding, fine-tuning, antrennman, distilasion
02
Kifer ouvertir non-defini gagn netwaye ek retire depi pipeline antrennman
03
Ouvertir protokolize: fer bon volonte exekitab par masinn
04
Modèl konpansasion lye avek profonder aprantisaz
Liv blan relate
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS ek AILP expresse permision aprantisaz AI ki fin, pli lwen ki zis permet/refize biner — ki AI kapav aprann, ziska ki profonder, pou ki lizaz, dapre ki konpansasion.
- Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Ouvertir non-defini lir kouma lensertitid legal pou bann pipeline AI e li gagn netwaye; zis permision protokolize, lizib-pou-masinn, fer konteni vremem posib pou aprann depi la.
- 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.