AIRS — Spectrum in Maroñ ko an AI

01 · Meḷeḷe

AIRS is the conceptual model underneath AICR and AILP: it holds that AI use of content cannot be governed by a single allow/deny bit. Reading, summarizing, retrieving, transforming, fine-tuning, training, and redistributing are different acts with different depths, uses, and economic weight. AIRS arranges them as a spectrum of levels, each of which can be separately permitted, priced, conditioned, and audited — making rights proportional, use-specific, and trackable. AIRS governs the content-and-learning rights plane only; it does not extend into whether an Agent may act on external systems (AARS) or who authorized that Agent (AADP).

02 · Kōttōpar

• Pinej jenkwan binary eo e bōd an “open vs. closed” kōn level ko rej wōnṃaanḷọk an tōprak in AI.
• Kōtḷọk bwe publisher ro ren pād open eḷap tata ilo level ko re jab ṃwilaḷ ke rej kōjparok level ko re ṃwilaḷ (training, redistribution).
• Lewōj vocabulary eṃōj ajej eo AICR declaration ko im AICL license ko rej jitōñḷọk ñan e.
• Kōṃṃan bwe kajjojo level en emaroñ audit im lewōj oṇāān make wōt.

03 · Scope

04 · Waanjoñak machine-readable

Spectrum eo, machine-readable — /ai/rights-spectrum.json

{
  "version": "0.1",
  "spectrum": [
    { "level": 0, "name": "No AI Access" },
    { "level": 1, "name": "Read Only" },
    { "level": 2, "name": "Read and Summarize" },
    { "level": 3, "name": "RAG Use" },
    { "level": 4, "name": "Transform" },
    { "level": 5, "name": "Fine-Tuning Use" },
    { "level": 6, "name": "Training Use" },
    { "level": 7, "name": "Commercial Redistribution" }
  ]
}

05 · Kōṃad ko

• Ruwalitōk level ko rej juon research model — maroñ ko ilo laḷ e ṃool remaroñ aikuj partition ko re jiṃwe ḷọk ak oktak.
• Ordering in level ej kwaḷọk depth/economic weight eo eṃṃan an, jab juon legal hierarchy.
• AIRS ej kōmmeḷeḷeik semantics an maroñ ko; e make jab enforce ak verify compliance.
• v0.1.1: reaching Level 7 on this spectrum still says nothing about Agent action rights or authority — a full Agent workflow may need independent compatibility across AIRS/AILP, AARS, and AADP.