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AGIRight.org

AILP — Protokoly Fahazoan-dalana Fianaran'ny AI

Protokoly Fahazoan-dalana Fianaran'ny AI

Azon'ny AI ianarana ve ity? Hatraiza ny halalina, ho an'ny fampiasana inona, ary amin'ny adidy inona?

Draft v0.1.1 Schema ↓

01 · Famaritana

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 · Tanjona

  • Valio ny hoe "azon'ny AI ianarana ve ity?" amin'ny fahamarinana isaky ny sokajy, fa tsy amin'ny brika fitetezana tokana.
  • Manavaka ny fahazoan-dalana fianarana (fandraiketana anaty modely) amin'ny fahazoan-dalana fidirana (fakàna pejy).
  • Manohana maodely valisoa: maimaimpoana, tsy ara-barotra, mila lisansa, fizarana vola miditra.
  • Manamarina fa ny fisokafana dia azon'ny milina ampiharina — mba tsy hariana ho tsy fahazoana antoka ara-dalàna ny sitrapo tsara.

03 · Velarana

00

access / indexing — fakàna sy fanisana ara-kevitra

01

inference_input — fampiasana ho tontolo iainana amin'ny fotoana fanatsoahan-kevitra (RAG)

02

embedding — fanaovana vector sy tondrozotra fakàna

03

training / fine_tuning / distillation — ambaratongan'ny fandraiketana anaty modely

04

verbatim_memory — raha avela ny famerenana mivantana marimarina

05

attribution / compensation — adidy amin'ny fanononana loharano sy fepetry ny fandoavam-bola

04 · Ohatra azon'ny milina vakiana

Fanambarana fahazoan-dalana fianarana — /ai/rights-spectrum.json (mombamomba 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 · Fetra

  • Ny hevi-dalan'ny fahazoan-dalana fianarana no sarotra indrindra hamarinina ara-teknika — ny AILP manambara ny tanjona, fa tsy mbola afaka manaporofo ny fanarahan-dalàna.
  • Volavolan-kevitra ny lisitry ny sokajy; mbola iadian-kevitra ny sisiny eo amin'ny fampiofanana, ny fine-tuning, ary ny distillation.
  • Miovaova arakaraky ny fari-pahefana ny fankatoavana ara-dalàna ny fahazoan-dalana fianarana, ary mbola tsy voavaha.
  • 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.