AILP — Itifaki ya Ruhusa ya Kujifunza kwa AI

Itifaki ya Ruhusa ya Kujifunza kwa AI

Je, AI inaweza kujifunza kutoka hapa? Kwa kina gani, kwa matumizi gani, na wajibu gani?

01 · Fasili

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 · Kusudi

Jibu swali 'Je, AI inaweza kujifunza kutoka hapa?' kwa usahihi wa kila kipimo badala ya biti moja ya kutambaa.
Tenganisha ruhusa ya kujifunza (kuingiza ndani ya modeli) kutoka ruhusa ya ufikiaji (kupakua kurasa).
Saidia miundo ya fidia: bure, isiyo ya kibiashara, inayohitaji leseni, ugawanaji wa mapato.
Hakikisha uwazi unaweza kutekelezwa na mashine — ili nia njema isitupwe kama kutokuwa na uhakika wa kisheria.

03 · Upeo

access / indexing — kupakua na uorodheshaji wa kimaana

inference_input — matumizi kama muktadha wakati wa uzalishaji (RAG)

embedding — uvekta na faharasa za urejeshaji

training / fine_tuning / distillation — ngazi za uingizaji ndani wa modeli

verbatim_memory — iwapo uzalishaji sahihi wa maneno umeruhusiwa

attribution / compensation — wajibu wa manukuu na masharti ya malipo

04 · Mfano unaosomeka na mashine

Tamko la ruhusa ya kujifunza — /ai/rights-spectrum.json (wasifu wa 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 · Mapungufu

Maana za ruhusa ya kujifunza ndizo ngumu zaidi kuthibitisha kiufundi — AILP inatamka nia, bado haiwezi kuthibitisha uzingatiaji.
Orodha ya vipimo ni rasimu; mipaka kati ya mafunzo, kurekebisha, na uyeyushaji bado inajadiliwa.
Utambuzi wa kisheria wa ruhusa za kujifunza unatofautiana kulingana na mamlaka na bado haujatatuliwa.
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.