Agent Authority & Delegation
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.
Pētāmie jautājumi
01
Principal ≠ actor: an Agent acting for you is not you
02
Delegation chains that can only narrow, never silently widen, relative to their parent
03
Authentication does not imply unlimited inspection of memory, private, or third-party state
04
Machine-native identity — Agents should not be forced to impersonate human accounts
Saistītās baltās grāmatas
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Mašīnlasāmu specifikāciju slānis mākslīgā intelekta satura tiesību un licencēšanas darbplūsmu deklarēšanai — no mākslīgā intelekta veiktas indeksēšanas un satura tiesībām līdz zināšanu tīmeklim, kurā iespējami mašīnu darījumi.
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS un AILP izsaka niansētas mākslīgā intelekta mācīšanās atļaujas ārpus binārā atļauts/neatļauts — ko mākslīgais intelekts drīkst mācīties, cik dziļi, kādiem nolūkiem un par kādu atlīdzību.
- 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.
- 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.
- 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 Diskusijai par mākslīgā intelekta tiesībām būtu jāsākas nevis ar pilnu tiesībsubjektību, bet gan ar minimālu ētisko aizsardzību, mijiedarbības normām un ļaunprātīgas izmantošanas novēršanas principiem, kamēr mākslīgā intelekta subjektivitāte joprojām ir neskaidra.