Utawala Unaosomwa na Masini

Kaida za utawala ambazo masini zinaweza kugundua na kutekeleza: llms.txt, manifest za /ai/, faili za sera za /.well-known/, Shema za JSON, tokeni za lisansi zilizosainiwa, na miundo ya kumbukumbu za ukaguzi. Tovuti hii yenyewe ni mfano unaofanya kazi.

Maswali yanayochunguzwa

Kutoka robots.txt hadi llms.txt hadi manifest za haki

Kaida za kugundua sera kupitia /.well-known/

Shema ya JSON kama muundo rasmi wa vipimo

Uwezo wa ukaguzi: kumbukumbu, matoleo, asili

Hati za utafiti zinazohusiana

AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Safu ya vipimo inayosomwa na masini kwa ajili ya kutamka haki za contenu ya IA na mitiririko ya lisansi — kutoka utafutaji wa IA na haki za contenu hadi wavuti ya maarifa inayoweza kufanya miamala kwa masini.
AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS na AILP zinaeleza ruhusa za kujifunza za IA kwa undani zaidi ya ruhusa/kataa ya aina mbili tu — kile IA inaweza kujifunza, kwa undani gani, kwa matumizi gani, chini ya malipo gani.
Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Uwazi usiotamkwa unasomeka kama kutokuwa na uhakika wa kisheria kwa mitiririko ya IA na unaondolewa; ni ruhusa ya kiprotokoli, inayosomwa na masini pekee, inayofanya contenu ijifunzwe kwa hakika.
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 Hoja ya uchumi-siasa: thamani za IA zenye matrilioni zinazalisha shinikizo la uhalali kwa lisansi ya contenu yenye madaraja na kugawana faida ya umma — takwimu zinakuwa na madaraja, sio ghali tu.
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 Majadiliano ya haki za IA yanapasa kuanza sio na utu kamili bali na ulinzi wa kimaadili wa chini, kaida za mwingiliano, na misingi ya kupambana na unyanyasaji, wakati uwepo wa kibinafsi wa IA bado hauna uhakika.
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.