I-AICL — Uhlaka Lokunikezwa Kwelayisensi Kokuqukethwe Kwe-AI
Ilayisensi Yokuqukethwe Kwe-AI / Uhlaka Lokunikezwa Kwelayisensi Kokuqukethwe Kwe-AI
Kuguqula amalungelo amenyezelwe abe ukunikezwa kwelayisensi okungasetshenziswa: cela intengo, khokha, qinisekisa, cwaninga, hoxisa.
01 · Incazelo
I-AICL uwuhlaka lokunikezwa kwelayisensi nokwenza imisebenzana olwakhelwe phezu kwe-AICR. Lapho i-AICR imemezela okuvunyelwe khona, i-AICL ichaza indlela imvume etholakala ngayo ngempela: amazinga namanani elayisensi, izindawo zokucela intengo nokukhokhela, amathokheni elayisensi asayiniwe, amarekhodi okusetshenziswa nokucwaningwa, kanye nokuhoxiswa. Yakhelwe ukusebenzisana namasu asafufusa okukhokha ngemishini afana nezinqubo ze-HTTP 402 namasu e-pay-per-crawl, kuthi inkokhelo yama-ejenti igcinwe ngaphakathi kwezabelomali ezigunyazwe ngabantu kanye nemikhondo yokucwaningwa.
02 · Injongo
- Guqula izimemezelo zamalungelo zibe imakethe yelayisensi esebenzayo esikhundleni sewebhu evulekile/evaliwe eyimbili.
- Yenza ijwayeleke inqubo yemishini-kuya-kwemishini: thola inqubomgomo → cela intengo → thola ilayisensi → sebenzisa → cwaninga.
- Gcina izinkokhelo zama-ejenti zinemikhawulo: izabelomali, imigqa yokugunyaza, amathokheni abophezelwe esicelweni, amarekhodi okucwaningwa agcwele.
- Nikeza abahlinzeki bokuqukethwe indlela eya enkokhelweni ngaphandle kokuvala amasayithi abo kwi-AI.
03 · Ububanzi
Ikhathalogi yelayisensi — amazinga amaphakethe amalungelo anamanani nemibandela
Izindawo zokucela intengo / ukukhokha / ukuqinisekisa / ukuhoxisa
Amathokheni Elayisensi Asayiniwe Abophezelwe Kumceli, Ububanzi, Nesikhathi
Amarekhodi Okusetshenziswa Kanye Nemikhondo Yokucwaningwa
Ukusebenzisana kwe-HTTP 402 "Inkokhelo Iyadingeka"
Imithetho Yokuphepha: i-AI ayiphathi idatha yekhadi eluhlaza, imigqa yokugunyaza ngabantu
04 · Isibonelo esifundeka yimishini
Amalayisensi ale sayithi uqobo — /.well-known/aicl.json
{
"version": "0.1",
"publisher": "AGIRight.org",
"licenses": [
{
"id": "public_read_summary",
"rights": ["read", "summarize", "quote"],
"price": { "amount": "0", "currency": "USD" },
"conditions": [
"attribution_required",
"no_model_training",
"no_commercial_redistribution"
]
},
{
"id": "research_rag",
"rights": ["read", "summarize", "rag"],
"price": { "amount": "0", "currency": "USD" },
"conditions": [
"attribution_required",
"retention_days_30",
"no_model_training"
]
},
{
"id": "commercial_or_training_license",
"rights": ["training", "commercial_use"],
"requires_contact": true,
"contact": "contact@agiright.org"
}
]
} 05 · Imikhawulo
- Le sayithi ayisebenzisi isango lenkokhelo; amalayisensi ezohwebo asekelwe ekuxhumaneni ku-v0.1.
- I-AICL iyisiphakamiso sephrothokholi — ayiqinisekisi ukuthi izinkampani ze-AI zizokhokha.
- Ukuthotshelwa kwenkokhelo, intela, kanye nemithetho yezezimali kungale kobubanzi bale drafu.
- Amafomethi amathokheni kanye nencazelo yezindawo kuseyikuhlolwa futhi kungashintsha.
Iphuzu lokuqanjwa kwegama
Ocwaningweni lwangaphambilini lwe-EveMissLab, isifinyezo i-AICL nalo liqamba i-"AI Ingestion & Capability Layer" — uhlaka lwesakhiwo lwendlela amasistimu e-AI afunda futhi abize ngayo amawebhusayithi (izingxenyana zemanifesti, i-corpus, ikhono, nokulawulwa). Kule sayithi, i-AICL ibhekisa Kuhlaka Lokunikezwa Kwelayisensi Kokuqukethwe Kwe-AI ngaphandle kokusho ngokusobala okunye; umsebenzi wohlaka lokumunca ushicilelwe njengephepha elimhlophe elihlukene.