AILP — Protocol ni Vakadonuya ni Vuli ni AI

Protocol ni Vakadonuya ni Vuli ni AI

E rawa beka na AI me vuli mai kina? Ena vakalomani cava, me baleta na vakayagataki cava, ena veiyalayalataki cava?

01 · iVakamacala

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 · Inaki

Saumi na taro "e rawa beka na AI me vuli mai kina?" ena kena macala vakadodonu ena tikina yadua, ka sega ni dua ga na bit ni crawl.
Wasei na vakadonuya ni vuli (kena vakalomani ki na model) mai na vakadonuya ni curu (kauta mai na tabana).
Veitokoni na ivakarau ni isau: sega ni saumi, sega ni vakabisinisi, gadreva na laiseni, wasei ni isau.
Vakadeitaka ni na dodola e rawa ni cakacaka taki ena masini — me kua ni biuta na yalo vinaka me vaka na sega ni macala vakalawa.

03 · Yalava

access / indexing — kena kauti mai kei na indexing vakaibalebale

inference_input — vakayagataki me context ena gauna ni inference (RAG)

embedding — vectorization kei na indexes ni kauta tale

training / fine_tuning / distillation — tikina ni vakalomani ni model

verbatim_memory — se vakadonuya beka na kena vakatalema vakadodonu

attribution / compensation — iVakabibi ni icavuti kei na veiyalayalataki ni saumi

04 · Ivakaraitaki e Rawa ni Wilikitaki ena Masini

E dua na ivakatakila ni vakadonuya ni vuli — /ai/rights-spectrum.json (AILP profile)

/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 · iYalayala

Na ibalebale ni vakadonuya ni vuli sai koya na dredre duadua me vakadeitaki vakatekinolosi — na AILP e vakatakila na inaki, ia e se sega ni rawa me vakadinadinataka na muri.
Na lisi ni tikina sa dua ga na draft; na iyalayala ena maliwa ni training, fine-tuning, kei na distillation era se veivosaki tiko.
Na kena ciqomi vakalawa na vakadonuya ni vuli e duidui ena veimatanitu ka se sega ni macala.
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.