AILP — Purotokori reMvumo yeKudzidza yeAI
Purotokori reMvumo yeKudzidza yeAI
AI inogona kudzidza pane izvi here? Kusvika padzika ripi, kune mabasa api, uye nemitoro ipi?
01 · Tsananguro
AILP operationalizes the AIRS spectrum for the specific question of learning. It distinguishes acts that binary crawler rules collapse together: being read is not being learned from; being retrieved is not being trained on; fine-tuning is not distillation; verbatim memorization is different from statistical internalization. AILP lets a publisher declare, in a single machine-readable file, per-dimension permissions — access, indexing, inference input, embedding, training, fine-tuning, distillation, memory, output, attribution and compensation — each as allowed, denied, or license-required. An AILP grant answers "may AI learn from this content?" only — it does not answer "may this Agent invoke a tool, write to a database, or publish?" (AARS), nor "who authorized this Agent?" (AADP).
02 · Chinangwa
- Pindura mubvunzo "AI inogona kudzidza pane izvi here?" nekunatswa kwedhimenjeni pane kungoshandisa bhiti re-crawl.
- Paradzanisa mvumo yekudzidza (kupinza mukati mema-model) nemvumo yekuwana (kutora mapeji).
- Tsigira maitiro emuripo: mahara, isiri yemabhizinesi, inoda rezinesi, kugoverana mari.
- Simbisa kuti kuvhurika kunoshanda pamuchina — kuitira kuti chido chakanaka chirege kuraswa sekusaziva kwemutemo.
03 · Mwero
access / indexing — kutora uye indexing yezvinorehwa
inference_input — kushandiswa secontext panguva yeinference (RAG)
embedding — vectorization uye maindex ekutora
training / fine_tuning / distillation — masitepisi ekupinza mukati kwemodel
verbatim_memory — kuti kugadzirwazve kwazvo-zvakadaro kwakabvumidzwa here
attribution / compensation — mabasa ekunongedza uye mamiriro ekubhadhara
04 · Muenzaniso unoverengeka nemuchina
Chiziviso chemvumo yekudzidza — /ai/rights-spectrum.json (profile yeAILP)
{
"version": "0.1",
"protocol": "AILP",
"publisher": "example.org",
"default": {
"access": "allowed",
"indexing": "allowed",
"inference_input": "allowed",
"embedding": "allowed",
"training": "license_required",
"fine_tuning": "license_required",
"distillation": "denied",
"verbatim_memory": "denied",
"attribution": "required",
"compensation": "contact"
},
"contact": "licensing@example.org"
} 05 · Miganho
- Zvinorehwa nemvumo yekudzidza ndizvo zvakaomesesa kusimbiswa netekinoroji — AILP inozivisa chinangwa, haisati yagona kusimbisa kuteerera.
- Rondedzero yedhimenjeni idhirafiti; miganho pakati pekudzidzisa, fine-tuning, uye distillation ichiri kupokanwa.
- Kuzivikanwa nemutemo kwemvumo dzekudzidza kunosiyana nenzvimbo dzemitemo uye hachisati zvagadziriswa.
- v0.1.1: AILP(Resource,ContentUse)=Allow does not imply AARS(Actor,Action)=Allow, and does not imply AADP(Principal,Actor,Authority)=Valid — a system exposing both content and tools must evaluate them separately.