Permissiun d'Emprender da la IA
Sche la IA ha lubientscha dad emprender, en tge profundità, per tge intents, e sut tge obligaziuns. Vegnir legì n'è betg vegnir duvrà per emprender; «betg scumandà» n'è betg «abel dad esser emprendì». AIRS ed AILP transferan la permissiun d'emprender en in spectrum graduà e leschibel per maschinas.
Dumondas en examinaziun
01
Profundità d'emprender: indexaziun, embedding, fine-tuning, instrucziun, distillaziun
02
Pertge ina avertadad betg definida vegn eliminada da process d'instrucziun
03
Avertadad protocolisada: rendair la buna voluntad exequibla per maschinas
04
Models da retribuziun liads a la profundità d'emprender
Whitepapers colliads
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS ed AILP exprimeschan permissiuns d'emprender differenziadas per la IA, ultra dal simpel lubì/betg lubì — tge che la IA ha lubientscha dad emprender, en tge profundità, per tge diever, e cun tge retribuziun.
- Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Ina avertadad betg definida vegn interpretada sco incertitude giuridica per process da IA e vegn eliminada; mo ina permissiun protocolisada e leschibla per maschinas rendia il cuntegn propi abel dad esser emprendì.
- 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.