Yiya kumxholo
AGIRight.org

AILP — Iprotokholi yeMvume yokuFunda kwe-AI

Iprotokholi yeMvume yokuFunda kwe-AI

Ngaba i-AI inokufunda kule nto? Kubunzulu obunjani, ngeentsebenzo ezinjani, ngeembophelelo ezinjani?

Draft v0.1.1 Isakhelo ↓

01 · Inkcazo

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 'ngaba i-AI inokufunda kule nto?' ngokuchaneka kwecandelo ngalinye endaweni yomgca omnye wokufunyaniswa.
  • Yahlula imvume yokufunda (ukufakwa ngaphakathi kwiimodeli) kwimvume yokufikelela (ukufumana amaphepha).
  • Xhasa iimodeli zembuyekezo: simahla, ongenzi ngokorhwebo, ofuna ilayisensi, owabelana ngengeniso.
  • Qinisekisa ukuba ukuvuleleka kunokusetyenziswa yimatshini — ukuze intando entle ingalahlwa njengokungaqiniseki ngokomthetho.

03 · Ubungakanani

00

access / indexing — ukufumana kunye nokucwangciswa ngokwentsingiselo

01

inference_input — ukusetyenziswa njengomxholo ngexesha lokuqiqa (RAG)

02

embedding — ukwenziwa kweevektha kunye nezalathiso zokufunyaniswa

03

training / fine_tuning / distillation — amanqanaba okufakwa ngaphakathi kwemodeli

04

verbatim_memory — enoba ukuphindwa ngokuchanekileyo kuyavunyelwa

05

attribution / compensation — imisebenzi yokucaphula kunye nemigaqo yentlawulo

04 · Umzekelo ofundwa yimatshini

Isibhengezo semvume yokufunda — /ai/rights-spectrum.json (iprofayile 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 · Imida

  • Iintsingiselo zemvume yokufunda zezona zinzima ukuqinisekiswa ngobuchwepheshe — i-AILP ibhengeza injongo, ayikakwazi ukungqina ukuthotyelwa.
  • Uluhlu lwamacandelo luluyilo; imida phakathi kokuqeqesha, ukulungiselela ngokucokisekileyo, nokucutha isaxoxwa.
  • Ukwamkelwa ngokomthetho kweemvume zokufunda kwahluke ngokwezigwebo kwaye akukasonjululwa.
  • 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.