Permisaun Aprendizajen AI
AI bele aprende ka lae, iha profundidade saida, ba objetivu saida, no iha okos obrigasaun saida. Sai lee la hanesan sai aprende husi; "la proibidu" la hanesan "bele aprende". AIRS no AILP halo permisaun aprendizajen sai espektru gradual ne'ebé máquina bele lee.
Pergunta iha okos estudu
01
Profundidade aprendizajen: indeksasaun, embedding, ajustamentu finu, treinamentu, destilasaun
02
Tansá abertura ne'ebé la define hetan limpeza husi pipeline treinamentu
03
Abertura protokolizadu: halo boa-vontade sai ne'ebé máquina bele ezekuta
04
Modelu kompensasaun ligadu ba profundidade aprendizajen
Whitepaper relasionadu
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS no AILP esprime permisaun aprendizajen AI ho detallu liu husi bináriu permite/la-permite — saida mak AI bele aprende, iha profundidade saida, ba uzu saida, ho kompensasaun saida.
- Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Abertura ne'ebé la define lee hanesan insertesa legál ba pipeline AI no hetan limpeza; permisaun protokolizadu, ne'ebé máquina bele lee de'it, halo konteúdu sai bele aprende ho jenuínu.
- 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.