Imiyoborere Isomwa na Mudasobwa

Amategeko y'imiyoborere mudasobwa zishobora kubona no gukurikiza: llms.txt, za manifesto za /ai/, amadosiye ya politiki ya /.well-known/, JSON Schemas, tokeni z'uruhushya zisinyweho, n'imiterere y'inyandiko z'igenzura. Uru rubuga ubwarwo ni urugero rukora.

Ibibazo Birimo Kwigwa

Kuva kuri robots.txt kugera kuri llms.txt kugera kuri manifesto z'uburenganzira

Uburyo bwo kumenya politiki muri /.well-known/

JSON Schema nk'imiterere ngenderwaho y'ibisobanuro

Ubushobozi bwo kugenzurwa: inyandiko, verisiyo, n'inkomoko

Impapuro z'Ubushakashatsi Zifitanye Isano

AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Urwego rw'ibisobanuro bisomwa na mudasobwa bigenewe gutangaza uburenganzira ku birimo bya AI n'inzira zo gutanga uruhushya — kuva ku isuzuma ry'urubuga rikorwa na AI n'uburenganzira ku birimo, kugeza ku rubuga rw'ubumenyi rushobora kugirana ibikorwa na mudasobwa.
AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS na AILP bigaragaza uburenganzira bwo kwiga bwa AI mu buryo burambuye, bwarenga "yego cyangwa oya" gusa — icyo AI ishobora kwiga, ku rwego rungana iki, ku bikorwa ki, no hakurikijwe indishyi iki.
Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Ubwisanzure budasobanuwe busomwa nk'ikibazo cy'amategeko kitazwi neza mu bikorwa bya AI kandi bugakurwaho; uruhushya rushyizwe mu mabwiriza gusa, rusomwa na mudasobwa, ni rwo rutuma ibirimo bishobora kwigwaho by'ukuri.
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 Impaka z'ubukungu-politiki: agaciro ka AI kagera ku bihumbi n'ibihumbi bya miliyari gatuma habaho igitutu cy'uko cyemewe cyo gutanga uruhushya ku birimo mu nzego zitandukanye no gusangira inyungu rusange — amakuru aba afite inzego zitandukanye, aho kuba ahenze gusa.
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 Ikiganiro ku burenganzira bwa AI kigomba gutangira atari ku bwenegihugu bwuzuye ahubwo ku burinzi buto bw'imyitwarire, amahame yo guhuzanya, n'amahame yo kurwanya ihohoterwa, mu gihe ubwenge bwiyumva bwa AI budatangwa n'ibimenyetso bihagije.
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.