AI Learning Permission
Ko AI zai iya koyo, a wace zurfi, don wace manufa, kuma a ƙarƙashin wace nauyin wajibi. Karantawa ba koyo ba ne; "ba a hana ba" ba "za a iya koyo" ba ne. AIRS da AILP na mayar da izinin koyo zuwa zango mai hawa-hawa, mai iya karantawa ta na'ura.
Tambayoyin da ake Nazari
01
Zurfin Koyo: jerawa (indexing), embedding, fine-tuning, horarwa, distillation
02
Me ya sa buɗaɗɗiya wanda ba a bayyana ba ke tsaftacewa daga ayyukan horarwa
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Buɗaɗɗiya Mai Tsari: mayar da nufin alheri zuwa abin da na'ura za ta iya aiwatarwa
04
Samfuran diyya masu alaƙa da zurfin koyo
Takardun Bincike Masu Alaƙa
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS da AILP na bayyana izinin koyo na AI mai zurfin bayani fiye da bi-ne/a'a kawai — abin da AI zai iya koya, a wace zurfi, don wace amfani, a ƙarƙashin wace diyya.
- Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Buɗaɗɗiya wanda ba a bayyana ba na karantawa a matsayin rashin tabbas na shari'a ga ayyukan AI kuma ana tsaftace shi; izini kaɗai mai tsari kuma mai iya karantawa ta na'ura ke sa abun ciki ya zama mai koyuwa da gaske.
- 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.