AI-indholdsrettigheder
What AI systems may do with content: read, summarize, transform, retrieve, train, commercialize, redistribute. The AICR ruleset and the AICL-C content-licensing layer make these rights declarable and transactable.
Spørgsmål under undersøgelse
01
Indholdstilladelser pr. anvendelse og pr. dybde ud over robots.txt
02
Kildeangivelse, grænser for uddrag og opbevaringsregler
03
Forbehold for træning og kommerciel brug
04
Licensforløb, licens-tokens, revisionslogs
Relaterede whitepapers
- AICR / AICL som et forbindelseslag for AI-indholdslicensering og agentbaseret betaling Et maskinlæsbart specifikationslag til erklæring af AI-indholdsrettigheder og licensarbejdsgange — fra AI-crawling og indholdsrettigheder til et maskintransaktionsbart videnweb.
- AICL-I v0.2: AI Ingestion & Capability Layer A five-component website architecture — manifest, corpus, capability, runtime control, governance — that lets AI, agents, and crawlers correctly ingest, invoke, and verify a site's knowledge and capabilities within explicit content, action, and authority boundaries.
- AI-indholdsbetaling og den demokratiske netværksøkonomi Et politisk-økonomisk argument: AI-værdiansættelser i billionklassen skaber et legitimitetspres for trinvis indholdslicensering og offentlig fordeling af gevinster — data bliver lagdelt, ikke dyrt.
- AGIRight.org Technical White Paper v0.2 — From AI Content Governance to Protocol-Native Agent & Authority Rights The site's current architecture document: six protocol drafts across two families (content & learning, agent & protocol rights), an integration layer, and an ethical-protection layer, plus the acceptance criteria this site update was built against.
- ARHG — Agent-Readable Hyperlink Graph and Permissioned Web Control Plane A machine-readable navigation graph alongside the ordinary site, answering what AICR/AILP and AARS/AADP both assume: can this resource even be found, by whom, and where does it lead.