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AILP — Protokolo ya Tumello ya ho Ithuta ya AI

Protokolo ya Tumello ya ho Ithuta ya AI

Na AI e ka ithuta ho sena? Ka botebo bofe, bakeng sa tshebediso efe, ka boikarabelo bofe?

Draft v0.1.1 Sekema ↓

01 · Tlhaloso

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 · Sepheo

  • Araba potso ya ‘na AI e ka ithuta ho sena?’ ka nepo ya boemelo bo bong le bo bong, ho e-na le karolwana e le nngwe ya ho kenya leteng.
  • Arola tumello ya ho ithuta (ho kenya ka hare ho dimmotlolo) ho tumello ya phihlello (ho ntsha maqephe).
  • Tshehetsa mefuta ya meputso: mahala, e seng ya kgwebo, e hlokang laesense, kabo ya chelete.
  • Netefatsa hore bobulehi bo ka sebetsa ka mochini — e le hore boikemisetso bo botle bo se ke ba lahlwa e le ho hloka bonnete ba molao.

03 · Bophara

00

access / indexing — ho fumana le ho kenya leteng ka moelelo

01

inference_input — tshebediso e le moelelo nakong ya inference (RAG)

02

embedding — vectorization le ditlhophiso tsa phumano

03

training / fine_tuning / distillation — mekgahlelo ya ho amohela mmotlolo ka hare

04

verbatim_memory — hore na tsosoloso e nepahetseng ka botlalo e a dumellwa

05

attribution / compensation — mesebetsi ya ho qotsa le dipehelo tsa tefo

04 · Mohlala o balehang ke mochini

Boitsebiso ba tumello ya ho ithuta — /ai/rights-spectrum.json (profaele ya 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 · Meeli

  • Moelelo wa tumello ya ho ithuta ke ona o thata ka ho fetisisa ho netefatswa ka tekgeniki — AILP e hlahisa maikemisetso, ha e so kgone ho paka ho latela melawana.
  • Lethathamo la boemelo ke moralo; meeli pakeng tsa koetliso, tlhophiso e nepahetseng, le distillation di ntse di ngangisanwa.
  • Kamohelo ya molao ya ditumello tsa ho ithuta e fapana ho ya ka tikoloho ya molao mme ha e so rarollwe.
  • 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.