AILP — Protokol Idin Sinau AI

Protokol Idin Sinau AI

Menapa AI saged sinau saking menika? Ing tataran kadalemanipun pundi, kanggé panganggé menapa, kanthi kuwajiban kadospundi?

Draft v0.1.1 Skema ↓

01 · Definisi

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 · Ancas

Mangsuli pitakenan "menapa AI kepareng sinau saking menika?" kanthi ketelitian ing tingkat dimensi, tinimbang namung setunggal bit crawl.
Misahaken idin sinau (internalisasi dhateng model) saking idin akses (njupuk kaca).
Ndhukung model kompensasi: gratis, non-komersial, mbetahaken lisensi, pambagi pendapatan.
Njamin bilih keterbukaan saged dipunlampahi sacara mesin — supados niat saé mboten dipunbuwang dados ketidakpastian hukum.

03 · Cakupan

access / indexing — njupuk saha indeksasi semantik

inference_input — dipunanggé minangka konteks ing wekdal inferensi (RAG)

embedding — vektorisasi saha indeks retrieval

training / fine_tuning / distillation — tataran internalisasi model

verbatim_memory — menapa reproduksi ingkang persis dipunlilani

attribution / compensation — kuwajiban kutipan saha sarat pambayaran

04 · Tuladha ingkang Saged Dipunwaos Mesin

Deklarasi idin sinau — /ai/rights-spectrum.json (profil 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 · Watesan

Makna idin sinau minangka ingkang paling angel dipunverifikasi sacara teknis — AILP ndeklarasiaken niat, nanging dèrèng saged mbuktèkaken kepatuhan.
Dhaptar dimensi menika rancangan; wates-wates antawis latihan, fine-tuning, saha distilasi taksih dipunrembag.
Pangakuan hukum tumrap idin sinau bénten-bénten miturut yurisdiksi saha dèrèng rampung.
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.