AI 内容权利
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.
研究中的问题
01
超越 robots.txt 的分用途、分深度内容许可
02
署名、摘录上限与保存规则
03
训练与商业使用的保留
04
授权流程、许可令牌、审计日志
相关白皮书
- AICR / AICL 作为 AI 内容授权与 Agent 支付连接层 用于声明 AI 内容权利与授权流程的机器可读规范层——从 AI 爬取与内容权利,到机器可交易的知识网络。
- 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.
- AI 内容付费与网络民主经济 一个政治经济学论证:万亿级 AI 估值为分层内容授权与公共收益分享带来正当性压力——数据走向分层,而非变贵。
- 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.
- ARHG — Agent-Readable Hyperlink Graph and Permissioned Web Control Plane A machine-readable navigation graph alongside the ordinary site, answering what AICR/AILP and AARS/AADP both assume: can this resource even be found, by whom, and where does it lead.