AI Content Rights
What AI systems may do with content: read, summarize, transform, retrieve, train, commercialize, redistribute. The AICR ruleset and the AICL licensing layer make these rights declarable and transactable.
Questions under study
01
Per-use, per-depth content permissions beyond robots.txt
02
Attribution, excerpt limits, and retention rules
03
Training and commercial-use reservations
04
Licensing flows, license tokens, audit logs
Related whitepapers
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer A machine-readable specification layer for declaring AI content rights and licensing workflows — from AI crawling and content rights to a machine-transactable knowledge web.
- AICL: AI Ingestion & Capability Layer A four-sublayer website architecture — manifest, corpus, capability, governance — that lets AI, agents, and crawlers correctly ingest, cite, invoke, and verify a site's knowledge.
- AI Content Payment and the Network Democratic Economy A political-economy argument: trillion-scale AI valuations create legitimacy pressure for tiered content licensing and public benefit-sharing — data becomes tiered, not expensive.