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.
研究中の問い
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
関連ホワイトペーパー
- AI コンテンツライセンスとエージェント決済の接続レイヤーとしての AICR / AICL AI コンテンツ権利とライセンスワークフローを宣言するための機械可読仕様レイヤー — AI クローリングとコンテンツ権利から、機械が取引可能な知識ウェブまで。
- AI 権利スペクトラム:robots.txt から AI 学習許可プロトコルへ AIRS と AILP は、二値の許可/不許可を超えて、きめ細かな AI 学習許可を表現します — AI が何を、どの深さで、どの用途のために、どんな補償の下で学習してよいか。
- 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.
- AI のための最小倫理保護命題 AI 権利の議論は、完全な人格性からではなく、AI の主体性が不確かである間の最小倫理保護、相互作用の規範、濫用防止の原則から始めるべきです。