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AICR — AI Content Rights

AI Content Rights / AI Content Rules

A machine-readable declaration of what AI systems may do with your content.

Draft v0.1 Schema ↓

01 · Definition

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.

02 · Purpose

  • Replace the binary allow/deny of robots.txt with graduated, use-specific permissions.
  • Give creators and publishers a standard way to reserve training and commercial rights while staying open to reading and citation.
  • Give AI systems a discoverable, auditable basis for compliant content use.
  • Serve as the rights foundation that AICL licensing flows execute against.

03 · Scope

00

read_access — whether AI may fetch and read the content

01

summarization — summaries, with or without attribution

02

quotation — excerpt limits and attribution rules

03

rag_use — retrieval-augmented generation, retention windows

04

transformation — structured extraction and derivative works

05

training — model training and fine-tuning permission

06

commercial_use — commercial exploitation of the content

07

redistribution — republishing or redistributing content or derivatives

04 · Machine-readable example

This site's own policy — /.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 · Limitations

  • AICR is a declaration, not an enforcement mechanism — compliance depends on AI systems choosing (or being required) to honor it.
  • It is an open research draft, not an adopted industry or legal standard.
  • It does not by itself resolve copyright disputes or define the legal weight of a declaration.
  • Field names and semantics may change between draft versions.