AILP — Protokol Izin Pembelajaran AI

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 · Tujuan

• Menjawab pertanyaan "bolehkah AI belajar dari ini?" dengan presisi tingkat-dimensi, bukan sekadar bit crawl.
• Memisahkan izin pembelajaran (internalisasi ke dalam model) dari izin akses (mengambil halaman).
• Mendukung model kompensasi: gratis, non-komersial, memerlukan lisensi, bagi hasil.
• Memastikan keterbukaan dapat dieksekusi mesin — sehingga niat baik tidak dibuang begitu saja karena ketidakpastian hukum.

03 · Cakupan

04 · Contoh yang dapat dibaca mesin

Deklarasi izin pembelajaran — /ai/rights-spectrum.json (profil AILP)

{
  "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 · Keterbatasan

• Semantik izin-pembelajaran adalah yang paling sulit diverifikasi secara teknis — AILP mendeklarasikan niat, tetapi belum dapat membuktikan kepatuhan.
• Daftar dimensi ini masih berupa draf; batas antara pelatihan, fine-tuning, dan distilasi masih diperdebatkan.
• Pengakuan hukum atas izin pembelajaran bervariasi menurut yurisdiksi dan belum terselesaikan.
• 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.