Maeneo ya utafiti
Utafiti
Maeneo sita ya utafiti yanayounganishwa, kutoka haki za AI na utoaji leseni wa maudhui hadi utawala unaosomeka na mashine na uchumi wa mtandao wa AI wa kidemokrasia.
Haki za AI
Haki, wajibu, majukumu, na utawala wa AI, AGI, na mawakala — kutoka vifaa hadi washirika hadi masomo yanayowezekana ya baadaye. Hii inajumuisha swali la ulinzi wa kimaadili wa kiwango cha chini: ni kanuni gani zinapaswa kuongoza mwingiliano wa binadamu-AI kabla ya maswali ya utu kutatuliwa.
Haki za Maudhui ya AI
AICRAICL
What AI systems may do with content: read, summarize, transform, retrieve, train, commercialize, redistribute. The AICR ruleset and the AICL-C content-licensing layer make these rights declarable and transactable.
Ruhusa ya Kujifunza kwa AI
AIRSAILP
Iwapo AI inaweza kujifunza, kwa kina gani, kwa madhumuni gani, na chini ya wajibu gani. Kusomwa si sawa na kujifunzwa kutoka; "haijazuiliwa" si "inaweza kujifunzwa". AIRS na AILP zinabadilisha ruhusa ya kujifunza kuwa wigo wenye madaraja, unaosomeka na mashine.
Ufikiaji wa Kiwakala
AICL
Jinsi mawakala wanavyofikia tovuti, API, hifadhidata, hazina za maarifa, na maudhui yanayolipiwa: utambulisho, ruhusa, maombi, malipo, idhini, kumbukumbu za matumizi, mipaka ya usalama, na ulinzi dhidi ya prompt-injection.
Agent Action Rights
AARS
What an Agent may DO once it holds tool or API capability, as distinct from what it may read or learn: action taxonomy, effect vectors, reversibility, blast radius, and multi-action composition risk. AARS gives content permission and action permission separate, independently-evaluable axes.
Agent Authority & Delegation
AADP
Who an Agent acts for, where its authority came from, whether it can hand that authority to another Agent, and how much of its internal state a verifier may demand. AADP separates principal from actor, bounds delegation to strictly narrow (never silently widen), and treats inspection as a bounded right, not an unlimited one.
Utawala Unaosomeka na Mashine
AICRAICLAIRSAILPAARSAADP
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.
Uchumi wa Mtandao wa AI wa Kidemokrasia
AICRAICL
Uchumi-siasa wa AI na maudhui: pay-per-crawl, migao ya data, mifuko huru ya taifa ya AI, mifuko ya fidia ya waundaji, masoko ya data yenye ngazi, na jinsi thamani inayochukuliwa kutoka maarifa ya umma inavyoweza kurudi kwa waliozalisha.