Kālọk ñan Kontent
AGIRight.org

AICR — Maroñ ko ioon Kontent an AI

Maroñ ko ioon Kontent an AI / Kien ko ioon Kontent an AI

Juon kwaḷọk machine-readable kōn ta eo AI systems remaroñ kōṃṃan kōn kontent eo aṃ.

Draft v0.1.1 Schema ↓

01 · Meḷeḷe

AICR is a machine-readable rights declaration layer. It lets a publisher state — per site, per path, or per resource — whether AI systems may read, summarize, quote, retrieve (RAG), transform, train on, commercially use, or redistribute content, and under which conditions such as attribution, retention limits, or contact-based licensing. Where robots.txt only says "crawl or don't", AICR carries the semantics of rights. Content Permission ⇏ Agent Action Authority: an AICR grant over content does not by itself authorize an Agent to write to a database, publish, execute code, or transact — see AARS and AADP.

02 · Kōttōpar

  • Pinej jenkwan binary in allow/deny an robots.txt kōn maroñ ko rej wōnṃaanḷọk im use-specific.
  • Lewōj ñan ri-kōṃṃan ko im publisher ro juon wāween standard ñan kōjparok maroñ ko an training im commercial ke rej pād wōt open ñan riit im citation.
  • Lewōj ñan AI systems juon basis emaroñ lo im audit ñan kōjerbal kontent ej compliant.
  • Jerbal āinwōt foundation in maroñ eo AICL licensing flow ko rej execute ekkar ñan e.

03 · Scope

00

read_access — eḷaññe AI emaroñ fetch im riit kontent eo

01

summarization — summary ko, kōn ak ejjeḷọk attribution

02

quotation — kien kōn joñan excerpt im attribution

03

rag_use — retrieval-augmented generation, retention window ko

04

transformation — structured extraction im derivative work ko

05

training — maroñ in model training im fine-tuning

06

commercial_use — commercial exploitation an kontent eo

07

redistribution — bar publish ak redistribute kontent ak derivative ko

04 · Waanjoñak machine-readable

Policy an site in make — /.well-known/aicr.json

/.well-known/aicr.json
{
  "version": "0.1",
  "publisher": "AGIRight.org",
  "default_policy": {
    "read_access": { "allowed": true },
    "summarization": {
      "allowed": true,
      "attribution_required": true
    },
    "quotation": {
      "allowed": true,
      "max_excerpt_words": 200,
      "attribution_required": true
    },
    "rag_use": {
      "allowed": true,
      "attribution_required": true,
      "retention_days": 30
    },
    "training": {
      "allowed": false,
      "permission_contact": "contact@agiright.org"
    },
    "commercial_use": {
      "allowed": false,
      "permission_contact": "contact@agiright.org"
    },
    "redistribution": { "allowed": false }
  }
}

05 · Kōṃad ko

  • AICR ej juon kwaḷọk, jab juon mechanism in enforcement — compliance ej ḷoor an AI systems kāālōt (ak aikuj) bwe ren pokake.
  • Ej juon research draft e open, jab juon standard industry ak legal eṃōj bōki.
  • E make jab kōṃṃan bwe en jeṃḷọk copyright dispute ko ak kōmmeḷeḷeik legal weight in juon kwaḷọk.
  • Etan field ko im semantics remaroñ oktak ikōtaan version ko an draft.
  • v0.1.1: an AICR grant does not imply Agent action or authority — content, action, and authority are three separately evaluable planes (AICR/AICL, AARS, AADP).