Yeqela Kokuqukethwe
AGIRight.org

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.

Draft v0.1 Isakhiwo ↓

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

00

Ikhathalogi yelayisensi — amazinga amaphakethe amalungelo anamanani nemibandela

01

Izindawo zokucela intengo / ukukhokha / ukuqinisekisa / ukuhoxisa

02

Amathokheni Elayisensi Asayiniwe Abophezelwe Kumceli, Ububanzi, Nesikhathi

03

Amarekhodi Okusetshenziswa Kanye Nemikhondo Yokucwaningwa

04

Ukusebenzisana kwe-HTTP 402 "Inkokhelo Iyadingeka"

05

Imithetho Yokuphepha: i-AI ayiphathi idatha yekhadi eluhlaza, imigqa yokugunyaza ngabantu

04 · Isibonelo esifundeka yimishini

Amalayisensi ale sayithi uqobo — /.well-known/aicl.json

/.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.