Utawala Unaosomeka na Mashine

Kanuni za utawala ambazo mashine zinaweza kugundua na kutekeleza: llms.txt, manifest za /ai/, faili za sera za /.well-known/, JSON Schemas, tokeni za leseni 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

Mikataba ya ugunduzi wa sera ya /.well-known/

JSON Schema kama muundo sanifu wa vipimo

Uwezekano wa kukaguliwa: kumbukumbu, matoleo, asili

Whitepaper zinazohusiana

AICR / AICL kama Tabaka la Uunganishaji wa Utoaji Leseni wa Maudhui ya AI na Malipo ya Kiwakala Tabaka la vipimo linalosomeka na mashine kwa ajili ya kutamka haki za maudhui za AI na mtiririko wa kazi wa utoaji leseni — kutoka kutambaa kwa AI na haki za maudhui hadi mtandao wa maarifa unaofanyiwa miamala na mashine.
Wigo wa Haki za AI: Kutoka robots.txt hadi Itifaki ya Ruhusa ya Kujifunza kwa AI AIRS na AILP zinaeleza ruhusa za kujifunza za AI zenye undani zaidi ya jozi rahisi ya kuruhusu/kukataza — kile AI inachoweza kujifunza, kwa kina gani, kwa matumizi gani, chini ya fidia gani.
Uwazi wa Kiitifaki: Kwa Nini 'Haijazuiliwa' Haimaanishi 'Inaweza Kujifunzwa' katika Enzi ya AI Uwazi usiofafanuliwa unasomwa kama kutokuwa na uhakika wa kisheria na mitiririko ya AI hivyo unaondolewa; ni ruhusa ya kiitifaki, inayosomeka na mashine pekee ndiyo inayofanya maudhui yaweze kujifunzwa kwa kweli.
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.
Malipo ya Maudhui ya AI na Uchumi wa Mtandao wa Kidemokrasia Hoja ya uchumi-siasa: thamani za AI za kiwango cha trilioni zinaunda shinikizo la uhalali kwa ajili ya utoaji leseni wa maudhui wenye ngazi na ugawanaji wa manufaa ya umma — data inakuwa na ngazi, si ghali.
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.
Pendekezo la Ulinzi wa Kimaadili wa Kiwango cha Chini kwa AI Mjadala wa haki za AI unapaswa kuanza si kwa utu kamili bali kwa ulinzi wa kimaadili wa kiwango cha chini, kanuni za mwingiliano, na misingi ya kupinga unyanyasaji, wakati hali ya kujitambua ya AI bado haina 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.