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.
연구 중인 질문
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
관련 백서
- AI 콘텐츠 라이선싱 및 에이전트 결제 연결 계층으로서의 AICR / AICL AI 콘텐츠 권리와 라이선싱 워크플로를 선언하기 위한 기계 판독 가능 사양 계층 — AI 크롤링과 콘텐츠 권리에서 기계 거래 가능한 지식 웹까지.
- AI 권리 스펙트럼: robots.txt에서 AI 학습 허가 프로토콜까지 AIRS와 AILP는 이진적 허용/거부를 넘어서는 섬세한 AI 학습 허가를 표현합니다 — AI가 무엇을, 어느 깊이까지, 어떤 용도로, 어떤 보상 조건으로 학습할 수 있는지.
- 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.
- AI를 위한 최소 윤리적 보호 명제 AI 권리 담론은 완전한 인격성 논의가 아니라, AI 주체성이 불확실한 동안의 최소 윤리적 보호, 상호작용 규범, 남용 방지 원칙에서 시작해야 합니다.