AILP — AI Learning Permission Protocol
AI Learning Permission Protocol
AI bundan oʻrganishi mumkinmi? Qay darajada chuqur, qaysi maqsadlar uchun, qanday majburiyatlar bilan?
01 · Taʼrif
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 · Maqsad
- «AI bundan oʻrganishi mumkinmi?» degan savolga krauling bitidan koʻra oʻlchov darajasidagi aniqlik bilan javob bering.
- Oʻrganish ruxsatini (modellarga ichkilashtirish) kirish ruxsatidan (sahifalarni olish) ajratish.
- Kompensatsiya modellarini qoʻllab-quvvatlash: bepul, notijorat, litsenziya talab qilinadigan, daromadni boʻlishish.
- Ochiqlikning mashina tomonidan amalga oshirilishini taʼminlash — shunda xayrixohlik huquqiy noaniqlik sifatida rad etilmaydi.
03 · Qamrov
access / indexing — olish va semantik indekslash
inference_input — inferensiya vaqtida kontekst sifatida foydalanish (RAG)
embedding — vektorlash va qidiruv indekslari
training / fine_tuning / distillation — model ichkilashtirish darajalari
verbatim_memory — aniq nusxa koʻchirishga ruxsat berilganmi
attribution / compensation — iqtibos majburiyatlari va toʻlov shartlari
04 · Mashinada oʻqiladigan misol
Oʻrganish ruxsati toʻgʻrisidagi deklaratsiya — /ai/rights-spectrum.json (AILP profili)
{
"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 · Cheklovlar
- Oʻrganish ruxsati maʼnosini texnik jihatdan tekshirish eng qiyin ish — AILP niyatni eʼlon qiladi, biroq muvofiqlikni hali isbotlay olmaydi.
- Oʻlchovlar roʻyxati qoralama hisoblanadi; oʻqitish, fine-tuning va distillash orasidagi chegaralar hali bahsli.
- Oʻrganish ruxsatlarining huquqiy tan olinishi yurisdiksiyadan yurisdiksiyaga farq qiladi va hali hal etilmagan.
- 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.