University AI Policy Tracker

Open, evidence-backed AI policy records for public reuse.

API indexGitHub repo

Outreach package

Share the dataset without overstating the evidence

Reusable, citation-safe copy for researchers, newsletters, teaching centers, library guides, and education media.

ReportMay 2026 baselineDatasetlatest manifestFeedsRSS

Core links

Use these links when citing or sharing the project.

May 2026 baseline report

Public report with coverage counts, review-state counts, example institution records, data links, methodology, and limitations.

TypeReport
Open

Dataset release manifest

Release ID, counts, artifacts, checksums, citation, license, and source-rights caveats.

TypeJSON
Open

Methodology

Source discovery, snapshots, claim extraction, evidence binding, review states, change detection, and risk boundaries.

TypeTrust page
Open

Reusable copy

Copy blocks for newsletters, researchers, social posts, library guides, and teaching-center references.

One-sentence positioning

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.
AssetOne-sentence positioning

Newsletter blurb

University AI Policy Tracker has published a May 2026 baseline release 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/2026-05 Dataset manifest: https://eduaipolicy.org/api/public/v1/datasets/latest.json
AssetNewsletter blurb

Researcher email

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 May 2026 baseline report is here: https://eduaipolicy.org/reports/2026-05
Methodology: https://eduaipolicy.org/methodology
Citation guidance: https://eduaipolicy.org/citation

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

Social post

New baseline release: 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/2026-05
Dataset: https://eduaipolicy.org/api/public/v1/datasets/latest.json

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

Use boundaries

These boundaries are part of the outreach package so citation does not turn metadata into advice.

  • Say "evidence-backed policy metadata" rather than "official university advice."
  • Do not describe candidate or needs-review claims as final policy conclusions.
  • Preserve the distinction between machine confidence and review state.
  • Link back to original university sources when discussing a specific institution.
  • Do not frame the tracker as legal advice, compliance advice, or academic integrity advice.