AI ᑎᑎᖅᖃᑦ ᐱᔪᓐᓇᐅᑕᐃ
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.
ᐊᐱᖅᓱᖅᑕᐅᔪᑦ ᖃᐅᔨᓴᖅᑕᐅᓗᑎᒃ
01
ᐊᑐᖅᑕᐅᓂᖅ-ᑎᒍᑦ, ᐃᑎᒐᐃᓇᕐᓂᖅ-ᑎᒍᑦ ᑎᑎᖅᖃᑦ ᐱᔪᓐᓇᐅᑕᐃ robots.txt ᖄᖏᖅᓗᒍ
02
ᐊᑎᖃᖅᑎᑦᓯᓂᖅ, ᓇᕿᑕᑦ ᑭᓪᓕᖏᑦ, ᐊᒻᒪᓗ ᐊᑐᖅᑕᐅᓯᒪᓃᓪᓗ ᒪᓕᒐᕐᔪᐃᑦ
03
Training ᐊᒻᒪᓗ ᓂᐅᕕᕈᑎᒋᓗᒍ-ᐊᑐᖅᑕᐅᓂᖅ ᑐᙵᕖᑦ
04
License-ᖃᕐᓂᕐᒧᑦ ᐊᖅᖁᖅᑖᖓ, License Token-ᒃᑯᑦ, Audit Log-ᒃᑯᑦ
ᐊᑦᑕᕕᖃᑦᑕᖅᑐᑦ Whitepaper-ᒃᑯᑦ
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer ᖃᕆᐊᓴᒃᑯᑦ ᐊᑐᖅᑕᐅᔪᓐᓇᖅᑐᖅ specification ᐃᓚᖏᑦ AI-ᒥᒃ ᑎᑎᖅᖃᖃᕐᓂᕐᒧᑦ ᐱᔪᓐᓇᐅᑎᓂᒃ ᐊᒻᒪᓗ license-ᖃᕐᓂᕐᒧᑦ ᐊᑐᕈᓰᓪᓗ ᓇᓗᓇᐃᖅᓯᔪᓐᓇᖅᑎᑦᓯᓂᐊᒐᐃᑦ — AI-ᒥᑦ crawling-ᒪᓂᑦ ᑎᑎᖅᖃᖃᕐᓂᕐᒧᓪᓗ ᐱᔪᓐᓇᐅᑎᓂᑦ ᖃᕆᐊᓴᒃᑯᑦ ᓂᐅᖅᕿᓂᖃᖅᑎᑦᓯᓐᓇᖅᑎᑦᓯᔪᓄᑦ ᖃᐅᔨᒪᓂᖅ-web-ᒃᑯᓐᓄᑦ ᑎᑭᓪᓗᒍ.
- 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 Content Payment and the Network Democratic Economy Political-economy-ᒥᒃ ᐅᖃᓪᓚᐅᑎ: trillion-ᑕᖅᑐᓂᒃ AI-ᒥᒃ ᐊᑭᖃᕐᓃᑦ ᐊᖏᔫᓕᕐᓂᖏᓐᓂᒃ legitimacy pressure-ᒥᒃ ᓴᖅᕿᑎᑦᑎᔪᑦ ᐊᕙᑕᐅᔪᓂᒃ ᑎᑎᖅᖃᖃᕐᓂᕐᒧᑦ license-ᖃᕐᓂᕐᒧᑦ ᐊᒻᒪᓗ ᐃᓅᖃᑎᒌᓐᓄᑦ ᐃᖅᖃᓇᐃᔮᖃᑎᒌᓐᓄᑦ — ᑎᑎᖅᖃᑦ ᐊᕙᑕᐅᓕᕐᑐᑦ, ᐊᑭᑐᔪᖏᑦᑐᐃᓐᓇᖅ.
- 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.