分享資料集時，不應誇大證據。

大學 AI 政策資料集月底報告：2026 年九月

公開報告，載有涵蓋數量、審查狀態數量、院校紀錄範例、全校 GEO 涵蓋範圍、數據連結、方法及限制。

推廣套件 JSON

機器可讀的副本區塊，以及供代理、電子報、媒體資料包和可重複使用的引用工作流程使用的範圍界定。

資料集發布清單

發布編號、數量、產出檔案、校驗碼、引用、授權，以及來源權利的注意事項。

方法論

來源探索、快照、主張擷取、證據綁定、審閱狀態、變更偵測與風險界線。

一句話定位

University AI Policy Tracker is an open, evidence-backed database of university AI policy records, with source URLs, review states, change history, and versioned public JSON.

通訊簡報簡介

University AI Policy Tracker has published the September 2026 month-end report for university AI policy records. The project is built as a public evidence database rather than a blog: each record is tied to official source URLs, source-language evidence snippets, review-state labels, citation guidance, and versioned public JSON. Report: https://eduaipolicy.org/reports/monthly/2026-09 Dataset manifest: https://eduaipolicy.org/api/public/v1/datasets/latest.json

研究人員電子郵件

Hi [Name],

I am building University AI Policy Tracker, an open evidence database for university AI policies. The project keeps policy claims separate from their source evidence, preserves original-language snippets as canonical evidence, and exposes versioned public JSON for reuse.

The September 2026 month-end report is here: https://eduaipolicy.org/reports/monthly/2026-09
Methodology: https://eduaipolicy.org/methodology
Citation guidance: https://eduaipolicy.org/citation

Feedback on missing sources, methodology, or data fields would be very welcome.

社群貼文

New monthly report: University AI Policy Tracker is publishing source-backed university AI policy records with review states, change logs, public JSON, and citation guidance.

Report: https://eduaipolicy.org/reports/monthly/2026-09
Dataset: https://eduaipolicy.org/api/public/v1/datasets/latest.json

Not legal advice or academic integrity advice; original university sources remain canonical.