Submit an official source URL
Suggest a public university AI policy, teaching guidance, academic integrity, privacy, procurement, or security-review source.
贡献接收
将证据提交至审查队列
贡献有助于扩大覆盖范围，但并不直接创建规范性政策事实。每个来源 URL、更正、翻译修复或课程级提交均作为审查任务启动，包含隐私、版权、源语言及证据核查。
贡献路径
首个实时接收渠道是 GitHub 问题模板，因此提交内容在发布前可见、可审计且可审查。
Report a policy change
Report that an existing tracked source changed or that a university added, moved, removed, or blocked an AI policy source.
Submit an institution correction
Request correction of an institution name, source attribution, review-state interpretation, or canonical page metadata.
Submit a course AI policy
Submit structured course-level AI policy evidence. Course data remains pending until moderation, rights, and claim/evidence review are complete.
Submit a translation or evidence-display correction
Correct localized display text while preserving the original-language evidence as canonical.
Report a dataset or API issue
Report broken JSON, stale links, checksum issues, field-shape problems, or inconsistency between public pages and public JSON.
提交内容可包含与不可包含的事项
这是所有贡献类型的发布边界。
- Submissions create review tasks, not canonical facts.
- Every published claim must keep source URL, source language, evidence snippet, confidence, and review state.
- Confidence and review state remain separate.
- Original-language evidence remains canonical; localized display is helper text only.
- Analysis profiles stay machine_candidate until analysis profile review confirms evidence binding, quality gates, and reuse caveats.
- Institution corrections preserve audit history.
该追踪器不构成法律建议，也不构成学术诚信建议，除非链接来源为大学官方页面，否则不代表大学的正式声明。
课程级提交
课程级政策提交很有用，但它们作为证据记录处理，而非公开评论。
课程记录必须复用与大学记录相同的声明/证据结构：实体、术语、来源类型、声明、原始语言证据、源语言、审核状态和审核状态。请勿粘贴完整教学大纲、LMS 内容、学生私人信息或非公开的教师数据。
贡献 API 元数据
面向代理、开发者和贡献者的机器可读接收政策。
贡献索引
贡献工作流、必填字段、GitHub 问题模板 URL、保障措施和发布规则。
审核政策
审核队列、发布关卡、审核规则和贡献审核边界。