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AGIRight.org

AICL — Luhlaka Lwekunikwa Kwelayisensi Kwelokucuketfwe Kwe-AI

Ilayisensi Yelokucuketfwe Kwe-AI / Luhlaka Lwekunikwa Kwelayisensi Kwelokucuketfwe Kwe-AI

Guculani emalungelo lamenyetelwe abe kunikwa kwelayisensi lokusebentako: intengo, khokha, cinisekisa, hlola, hoxisa.

Draft v0.1 Sikimu ↓

01 · Incazelo

I-AICL luhlaka lwekunikwa kwelayisensi kanye netekwenta imisebenti lolwakhelwe etulu kwe-AICR. Lapho i-AICR imemetela loko lokuvunyelwe, i-AICL ichaza indlela imvumo letfolwa ngayo ngempela: emabanga elayisensi kanye netintengo, ema-endpoint entengo kanye enkhokhelo, emathokheni elayisensi lasayinwe, tirekhodi tekusebenta nekuhlolwa, kanye nekuhoxiswa. Yakhelwe kutsi isebente kahle netindlela letisha tekukhokha ngemishini njengemigudvu ye-HTTP 402 kanye netindlela tekukhokha ngekutikhrola, ngenkhokhelo yema-ejenti igcinwa ngekhatsi kwetibhajethi letivunywe ngumuntfu kanye netirekhodi tekuhlolwa.

02 · Inhloso

  • Guculani imimemetelo yemalungelo ibe imakethe yelayisensi lesebentako esikhundleni sewebhu lelinani lelilodwa levulekile/lelivaliwe.
  • Hlelisisa indlela lehambako emkatsini wemishini: tfola umtsetfo → cela intengo → layisensi → sebentisa → hlola.
  • Gcina inkhokhelo yema-ejenti inemikhawulo: tibhajethi, imikhawulo yemvumo, emathokheni labotjelwe kusicelo, tirekhodi tekuhlolwa letigcwele.
  • Nika bahlinzeki belokucuketfwe indlela yekutfola inkhokhelo ngale kokuvala ema-sayithi abo ku-AI.

03 · Sikhala

00

Ikhathalogu yelayisensi — emabanga emaphakheji emalungelo anetintengo nemibandzela

01

Ema-endpoint entengo / enkhokhelo / ekucinisekiswa / ekuhoxiswa

02

Emathokheni elayisensi lasayinwe laboshelwe kumcelanisi, sikhala, kanye nesikhatsi

03

Tirekhodi tekusetjentiswa kanye netindzawo tekuhlolwa

04

Kuhlangana kwe-HTTP 402 "Kudzingeka Inkhokhelo"

05

Imitsetfo yekuphepha: kute kuphatfwa kwemininingwane yelikhadi lengakalungiswa yi-AI, imikhawulo yemvumo yemuntfu

04 · Sibonelo lesifundzeka ngemishini

Emalayisensi alesisayithi ngekwaso — /.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

  • Lesisayithi asikwati sango lenkhokhelo; emalayisensi ekuhweba etsintfana ngekutsintfana ku-v0.1.
  • I-AICL siphakamiso seliphrothokholi — ayicinisekisi kutsi tinkampani te-AI titakhokha.
  • Kuhambisana kwenkhokhelo, tintela, kanye nemtsetfo wetimali kungale kwesikhala saleli drafti.
  • Emafomethi ethokheni kanye nemchazo we-endpoint kusahlolwa futsi kungaguculwa.

Sinota semabito

Elucwaningweni lwaseEveMissLab lwangaphambilini, ligama lelifitjiwe AICL nalo libita "AI Ingestion & Capability Layer" — luhlaka lwekwakhiwa lwendlela tinhlelo te-AI letifundza nekushayela ngayo ema-website (imicabango yemanifesti, khophasi, buchule, bulawulo). Kulesisayithi, i-AICL ibhekisela Ku-Luhlaka Lwekunikwa Kwelayisensi Kwelokucuketfwe Kwe-AI ngaphandle kwalapho kushiwo ngalokunye ngalokucacile; umsebenti weluhlaka lwekungena ushicilelwe njengencwadzi lemhlophe lehlukene.