Maskinlesilig Stjórnan
Stjórnanarreglur, sum maskinur kunnu finna og útinna: llms.txt, /ai/-manifest, /.well-known/-politikkfílur, JSON-skemu, undirskrivaðar lisenstokenir og snið fyri endurskoðanarskrár. Hendan síðan er sjálv eitt virkandi dømi.
Spurningar undir kanning
01
Frá robots.txt yvir llms.txt til rættindamanifest
02
Vanar fyri at finna politikk um /.well-known/
03
JSON-skema sum normativt specifikatiónssnið
04
Eftirlitsføri: skrár, útgávur, uppruni
Skyldar hvítbøkur
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Eitt lag av maskinlesiligum specifikatiónum til at lýsa AI-innihaldsrættindi og lisenseringarferli — frá AI-gjøgnumleiting og innihaldsrættindum til ein kunnleikavev, har maskinur kunnu gera handilsviðurskifti.
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS og AILP tjása nyansaðar læru-loyvir til AI handan tvíbinar loyvt/ikki loyvt — hvat AI má læra, við hvørjari dýpd, til hvørjar nýtslur, undir hvørjum endurgjaldi.
- Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Ódefinerað opnleiki lesist sum løgfrøðilig óvissa hjá AI-ferlum og verður reinsaður burtur; bert protokolliserað, maskinlesiligt loyvi ger innihald veruliga læribart.
- 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 Ein politisk-búskaparlig røksemd: AI-virðismetingar í biljónastødd skapa trýst um lógmætleika fyri stigskift innihaldslisensering og almennan nyttubýti — dátur verða stigskiftar, ikki (bert) dýrari.
- From Crawler Rights to Agent Authority: Extending AGIRIGHT from Content Governance to Protocol-Native AI Agents The bridge paper for AGIRIGHT's Agent & Protocol Rights family: why content permission, action permission, delegated authority, and inspection rights must be four separately-evaluated axes, not one.
- AARS v0.1 — Agent Action Rights Spectrum The full protocol draft behind the AARS page: an A0–A7 human-readable spectrum, a machine-readable action vector, and rules for composition risk and capability amplification.
- AADP v0.1 — Agent Authority & Delegation Protocol The full protocol draft behind the AADP page: principal ≠ actor, delegation that can only narrow, and an inspection ceiling that bounds how much a verifier may demand.
- 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.
- The Minimum Ethical Protection Proposition for AI Samrøðan um rættindi hjá gervigreind eigur ikki at byrja við fullum persónleika, men við minstu etisku verndum, samskiftisreglum og meginreglum ímóti misnýtslu, so leingi egindeymi hjá AI er ávegis.
- 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.