AICL — Inqanaba lokuNikwa kweLayisensi yoMxholo we-AI
Ilayisensi yoMxholo we-AI / Inqanaba lokuNikwa kweLayisensi yoMxholo we-AI
Iguqula amalungelo abhengeziweyo abe lilayisensi enokusetyenziswa: ukucacisa ixabiso, ukuhlawula, ukuqinisekisa, uphononongo, ukurhoxisa.
01 · Inkcazo
I-AICL yinqanaba lelayisensi nentengiselwano elakhelwe phezu kwe-AICR. Apho i-AICR ibhengeza oko kuvunyelweyo, i-AICL ichaza indlela imvume efunyanwa ngayo ngokwenene: amanqanaba namaxabiso elayisensi, iindawo zokufumana ixabiso nokuhlawula, iitokheni zelayisensi ezisayinwe, iirekhodi zokusetyenziswa nozohlolo-mfihlo, kunye norhoxiso. Iyilwe ukuba isebenzisane neendlela ezivelayo zentlawulo yemitshini ezinje ngeenkqubo ze-HTTP 402 kunye neenkqubo zokuhlawula ngokufunyaniswa, intlawulo yee-arhente igcinwa ngaphakathi kweebhajethi ezivunywe ngabantu kunye neerekhodi zohlolo-mfihlo.
02 · Injongo
- Guqula izibhengezo zamalungelo zibe yimarike yelayisensi esebenzayo endaweni yewebhu enomgca omnye ovulekileyo/ovaliweyo.
- Misela umgangatho wenkqubo ephakathi kwemitshi: ukufumana umgaqo → ukucela ixabiso → ilayisensi → ukusetyenziswa → uphononongo.
- Gcina iintlawulo zee-arhente zinemida: iibhajethi, imida yokuvunywa, iitokheni ezibotshelelwe kwisicelo, iirekhodi zohlolo-mfihlo ezipheleleyo.
- Nika ababoneleli bomxholo indlela eya embuyekezweni ngaphandle kokuvala iisayithi zabo kwi-AI.
03 · Ubungakanani
Ikhathalogu yelayisensi — amanqanaba eziqoqo zamalungelo kunye namaxabiso neemeko
Iindawo zokufikelela zokucacisa ixabiso / ukuhlawula / ukuqinisekisa / ukurhoxisa
Iitokheni zelayisensi ezisayinwe ezibotshelelwe kumceli, ubungakanani, kunye nexesha
Iirekhodi zokusetyenziswa kunye nemikhondo yohlolo-mfihlo
Ukusebenzisana kwe-HTTP 402 'Kufuneka Intlawulo'
Imigaqo yokhuseleko: i-AI ayiphathi idatha yekhadi engagqityiwe, imida yokuvunywa ngabantu
04 · Umzekelo ofundwa yimatshini
Iilayisensi zale sayithi ngokwayo — /.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 · Imida
- Le sayithi ayilawuli sango lentlawulo; iilayisensi zorhwebo zisekelwe kunxibelelwano kwi-v0.1.
- I-AICL sisiphakamiso seprotokholi — ayiqinisekisi ukuba iinkampani ze-AI ziya kuhlawula.
- Ukuthotyelwa kwentlawulo, irhafu, kunye nemithetho yezemali kungaphandle kobungakanani boluyilo.
- Iifomathi zetokheni kunye neentsingiselo zeendawo zokufikelela ziyeyovavanyo kwaye zinokutshintsha.
Inqaku lokuthiywa
Kuphando lwangaphambili lwe-EveMissLab, isipumelelo esithi AICL sibiza kwakhona i-'AI Ingestion & Capability Layer' — inqanaba loyilo lokuba iinkqubo ze-AI zifunda kwaye zibize njani iiwebhusayithi (amanqanaba angaphantsi emanifesti, ekhophasi, omgangatho wamandla, olawulo). Kule sayithi, i-AICL ibhekisa kwiNqanaba lokuNikwa kweLayisensi yoMxholo we-AI ngaphandle kokuba kuchaziwe ngokucacileyo ngenye indlela; umsebenzi wenqanaba lokufumana upapashwe njengephepha elimhlophe elahlukileyo.