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AGIRight.org

I-AILP — Iphrothokholi Yemvume Yokufunda Kwe-AI

Iphrothokholi Yemvume Yokufunda Kwe-AI

Ngabe i-AI ingafunda kulokhu? Ngobunzulu obungakanani, ngokusetshenziswa okuni, ngemithwalo enjani?

Draft v0.1.1 Isakhiwo ↓

01 · Incazelo

AILP operationalizes the AIRS spectrum for the specific question of learning. It distinguishes acts that binary crawler rules collapse together: being read is not being learned from; being retrieved is not being trained on; fine-tuning is not distillation; verbatim memorization is different from statistical internalization. AILP lets a publisher declare, in a single machine-readable file, per-dimension permissions — access, indexing, inference input, embedding, training, fine-tuning, distillation, memory, output, attribution and compensation — each as allowed, denied, or license-required. An AILP grant answers "may AI learn from this content?" only — it does not answer "may this Agent invoke a tool, write to a database, or publish?" (AARS), nor "who authorized this Agent?" (AADP).

02 · Injongo

  • Phendula "ngabe i-AI ingafunda kulokhu?" ngokunemba kwezinga lesici, esikhundleni sebhithi le-crawl.
  • Yehlukanisa imvume yokufunda (ukungenisa ngaphakathi kwamamodeli) kusuka emvumeni yokufinyelela (ukulanda amakhasi).
  • Sekela amamodeli enkokhelo: mahhala, angezona ezohwebo, adinga ilayisensi, okwabelana ngenzuzo.
  • Qinisekisa ukuthi ukuvuleka kungasetshenziswa yimishini — ukuze umoya omuhle ungalahlwa njengokungaqiniseki ngokomthetho.

03 · Ububanzi

00

ukufinyelela / ukuhlelwa ngezinkomba — ukulanda kanye nokuhlelwa ngezinkomba ngencazelo

01

inference_input — ukusetshenziswa njengesimo ngesikhathi sokuqagela (RAG)

02

embedding — ukwenziwa kwe-vector kanye nezinkomba zokulanda

03

training / fine_tuning / distillation — amazinga okungeniswa kwemodeli

04

verbatim_memory — ukuthi ngabe ukukhiqizwa ngokuphindaphinda okuqondile kuvunyelwe

05

ukuboniswa komthombo / inkokhelo — imithwalo yokucaphuna nemigomo yenkokhelo

04 · Isibonelo esifundeka yimishini

Isimemezelo semvume yokufunda — /ai/rights-spectrum.json (iphrofayela ye-AILP)

/ai/rights-spectrum.json
{
  "version": "0.1",
  "protocol": "AILP",
  "publisher": "example.org",
  "default": {
    "access": "allowed",
    "indexing": "allowed",
    "inference_input": "allowed",
    "embedding": "allowed",
    "training": "license_required",
    "fine_tuning": "license_required",
    "distillation": "denied",
    "verbatim_memory": "denied",
    "attribution": "required",
    "compensation": "contact"
  },
  "contact": "licensing@example.org"
}

05 · Imikhawulo

  • Incazelo yemvume yokufunda iyinto enzima kunazo zonke ukuqinisekiswa ngokobuchwepheshe — i-AILP imemezela injongo, ayikwazi ukufakazela ukuthotshelwa okwamanje.
  • Uhlu lwezici luyidrafu; imingcele phakathi kokuqeqeshwa, i-fine-tuning, kanye ne-distillation isabuye iphikiswane.
  • Ukuqashelwa ngokomthetho kwezimvume zokufunda kuyahluka ngokwesigaba sezomthetho futhi akukaxazululwa.
  • v0.1.1: AILP(Resource,ContentUse)=Allow does not imply AARS(Actor,Action)=Allow, and does not imply AADP(Principal,Actor,Authority)=Valid — a system exposing both content and tools must evaluate them separately.