Strojno berljivo upravljanje
Pravila upravljanja, ki jih lahko stroji odkrijejo in izvedejo: llms.txt, manifesti /ai/, datoteke politik /.well-known/, JSON sheme, podpisani tokeni licenc in formati revizijskih dnevnikov. To spletno mesto je samo po sebi delujoč primer.
Vprašanja, ki se preučujejo
01
Od robots.txt prek llms.txt do manifestov pravic
02
Konvencije za odkrivanje politik prek /.well-known/
03
JSON shema kot normativni format specifikacije
04
Revidibilnost: dnevniki, različice, izvor
Povezane bele knjige
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Sloj strojno berljivih specifikacij za deklariranje pravic nad vsebino AI in postopkov licenciranja — od poizvedovanja s strani AI in pravic na vsebino do znanja, pripravljenega za strojne transakcije.
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS in AILP izražata nianse v dovoljenjih za učenje AI onkraj binarnega dovoljeno/nedovoljeno — kaj se AI sme naučiti, do kakšne globine, za katere namene in ob kakšnem nadomestilu.
- Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Nedefinirano odprtost sistemi umetne inteligence berejo kot pravno negotovost in jo odstranijo; le protokolirano, strojno berljivo dovoljenje naredi vsebino resnično primerno za učenje.
- 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 Argument politične ekonomije: vrednotenja AI v razponu bilijonov ustvarjajo pritisk legitimnosti za stopenjsko licenciranje vsebin in delitev javne koristi — podatki postanejo stopenjski, ne (le) dragi.
- 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 Razprava o pravicah umetne inteligence naj se ne začne s polno pravno osebnostjo, temveč z minimalnimi etičnimi zaščitami, normami interakcije in načeli proti zlorabi, dokler subjektivnost AI ostaja negotova.
- 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.