Governanza li Tinqara mill-Magni
Regoli ta' governanza li l-magni jistgħu jiskopru u jesegwixxu: llms.txt, manifesti /ai/, fajls ta' politika /.well-known/, JSON Schemas, tokens ta' liċenzja ffirmati, u formati ta' reġistri tal-verifika. Dan is-sit innifsu huwa eżempju li jaħdem.
Mistoqsijiet taħt studju
01
Minn robots.txt għal llms.txt sa manifesti tad-drittijiet
02
Konvenzjonijiet ta' skoperta tal-politika ta' /.well-known/
03
JSON Schema bħala format normattiv ta' speċifikazzjoni
04
Awditabbiltà: reġistri, verżjonijiet, provenjenza
Whitepapers relatati
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Saff ta' speċifikazzjoni li jinqara mill-magni għad-dikjarazzjoni tad-drittijiet tal-kontenut tal-AI u l-flussi ta' xogħol ta' liċenzjar — mill-crawling tal-AI u d-drittijiet tal-kontenut sa web ta' għarfien li tista' tagħmel tranżazzjonijiet bejn magni.
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol L-AIRS u l-AILP jesprimu permessi ta' tagħlim tal-AI sfumati lil hinn minn permess/projbizzjoni binarja — x'tista' titgħallem l-AI, sa liema profondità, għal liema użi, u taħt liema kumpens.
- Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Il-ftuħ mhux definit jinqara bħala inċertezza legali mill-pipelines tal-AI u għalhekk jitneħħa; huwa biss il-permess protokollizzat u li jinqara mill-magni li jagħmel il-kontenut ġenwinament li jista' jitgħallem minnu.
- 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 ta' ekonomija politika: valutazzjonijiet tal-AI fuq skala ta' triljuni joħolqu pressjoni ta' leġittimità għal liċenzjar tal-kontenut b'livelli u qsim ta' benefiċċju pubbliku — id-dejta ssir bil-livelli, mhux għalja.
- 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 Id-diskors dwar id-drittijiet tal-AI għandu jibda mhux b'personalità legali sħiħa iżda b'protezzjonijiet etiċi minimi, normi ta' interazzjoni, u prinċipji kontra l-abbuż, sakemm is-suġġettività tal-AI tibqa' inċerta.
- 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.