Llywodraethu Darllenadwy gan Beiriannau
Rheolau llywodraethu y gall peiriannau eu darganfod a'u gweithredu: llms.txt, maniffestau /ai/, ffeiliau polisi /.well-known/, Sgemâu JSON, tocynnau trwydded wedi'u llofnodi, a fformatau cofnod archwilio. Mae'r safle hwn ei hun yn enghraifft weithredol.
Cwestiynau dan astudiaeth
01
O robots.txt i llms.txt i faniffestau hawliau
02
Confensiynau darganfod polisi /.well-known/
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Sgema JSON fel fformat manyleb normadol
04
Archwiliadwyedd: cofnodion, fersiynau, tarddiad
Papurau gwyn cysylltiedig
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Haen fanyleb ddarllenadwy gan beiriannau ar gyfer datgan hawliau cynnwys AI a llifau gwaith trwyddedu — o grolio AI a hawliau cynnwys i we wybodaeth y gall peiriannau drafodioni arni.
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol Mae AIRS ac AILP yn mynegi caniatâd dysgu AI manwl y tu hwnt i ganiatáu/gwrthod deuaidd — beth y caiff AI ei ddysgu, i ba ddyfnder, at ba ddibenion, o dan ba ddigolledu.
- Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Mae agoredrwydd heb ei ddiffinio yn darllen fel ansicrwydd cyfreithiol i lifau gwaith AI ac yn cael ei lanhau allan; dim ond caniatâd protocolaidd, darllenadwy gan beiriannau sy'n gwneud cynnwys yn wirioneddol ddysgadwy.
- 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 Dadl economeg wleidyddol: mae prisiadau AI ar raddfa triliwn yn creu pwysau dilysrwydd ar gyfer trwyddedu cynnwys haenog a rhannu budd cyhoeddus — mae data'n dod yn haenog, nid yn ddrud.
- 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 Dylai'r drafodaeth ar hawliau AI ddechrau, nid gyda phersonoliaeth lawn, ond gyda diogelwch moesegol isafswm, normau rhyngweithio, ac egwyddorion gwrth-gam-drin tra bo goddrychedd AI yn parhau'n ansicr.
- 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.