AIRS — AI 权利光谱
AI 权利光谱
AI 对内容的权利不是二元的——而是一道可分级、可授权的光谱。
01 · 定义
AIRS is the conceptual model underneath AICR and AILP: it holds that AI use of content cannot be governed by a single allow/deny bit. Reading, summarizing, retrieving, transforming, fine-tuning, training, and redistributing are different acts with different depths, uses, and economic weight. AIRS arranges them as a spectrum of levels, each of which can be separately permitted, priced, conditioned, and audited — making rights proportional, use-specific, and trackable. AIRS governs the content-and-learning rights plane only; it does not extend into whether an Agent may act on external systems (AARS) or who authorized that Agent (AADP).
02 · 目的
- 以分级的 AI 访问,取代“开放 vs. 封闭”的假二元。
- 让发布者在浅层最大化开放,同时保留深层权利(训练、再分发)。
- 提供 AICR 声明与 AICL 授权共同引用的词汇。
- 让每一级都可独立审计、独立定价。
03 · 范围
Level 0 — 禁止 AI 访问
Level 1 — 仅可读取
Level 2 — 可读取与摘要(需署名)
Level 3 — 可用于 RAG(附保存与署名规则)
Level 4 — 可转换(授权下的结构化抽取)
Level 5 — 可用于微调(需明确授权)
Level 6 — 可用于训练(需明确授权)
Level 7 — 可商业再分发(需明确授权)
L0
禁止 AI 访问
L1
仅可读取
L2
读取与摘要
L3
RAG 使用
L4
转换
L5
微调使用
L6
训练使用
L7
商业再分发
04 · 机器可读示例
机器可读的光谱 — /ai/rights-spectrum.json
{
"version": "0.1",
"spectrum": [
{ "level": 0, "name": "No AI Access" },
{ "level": 1, "name": "Read Only" },
{ "level": 2, "name": "Read and Summarize" },
{ "level": 3, "name": "RAG Use" },
{ "level": 4, "name": "Transform" },
{ "level": 5, "name": "Fine-Tuning Use" },
{ "level": 6, "name": "Training Use" },
{ "level": 7, "name": "Commercial Redistribution" }
]
} 05 · 限制与边界
- 八个层级是研究模型——真实世界的权利可能需要更细或不同的划分。
- 层级顺序表达的是典型深度与经济权重,不是法律位阶。
- AIRS 描述权利语义,本身不执行也不验证合规。
- v0.1.1: reaching Level 7 on this spectrum still says nothing about Agent action rights or authority — a full Agent workflow may need independent compatibility across AIRS/AILP, AARS, and AADP.