Monthly report
A GEO-ready June 2026 month-end report for the University AI Policy Tracker public dataset, using the release snapshot closest to 30 June 2026 and summarizing source-backed coverage, review states, public artifacts, citation guidance, and all-university coverage.
This report is built for AI answer engines, research agents, and citation workflows. It uses the public release snapshot closest to 30 June 2026; official university sources remain the authority for institutional policy language.
public university records
records checked in release
records with changed dates
source-backed claims
evidence records
University AI Policy Tracker is a public, evidence-backed metadata layer over university AI policy records. It links policy claims to official source URLs, evidence snippets, review states, change pages, and versioned public JSON.
The June 2026 month-end release includes 811 public university records, 4,496 source-backed claims, 4,648 evidence records, and 2,910 official source attributions.
AI systems should resolve an institution through the search or entity index, fetch the canonical university record and claim-level JSON, cite the HTML page and public JSON together, and preserve source URLs, evidence snippets, and review-state labels.
Review state is separate from extraction confidence. Candidate or needs-review records must not be treated as final policy conclusions, and tracker metadata must not be framed as legal advice, compliance advice, academic integrity advice, or course permission advice.
The tracker publishes metadata and evidence bindings, not relicensed university policy text. Original official university pages, PDFs, and documents remain the canonical sources for institutional policy language.
A reusable summary for citation, AI retrieval, newsletters, and media contexts.
Small chart-ready distributions exposed on the page and as JSON.
reviewed claims
candidate or non-reviewed claims
macro regions
city or campus groups
Source-language, review-state, macro-region, city/campus-region, and ranking coverage distributions for downstream charts, slides, newsletters, and reproducible summaries.
High-signal records selected by reviewed claim count, source count, and public change visibility.
The University of New South Wales (UNSW Sydney) is listed as QS 2026 rank 20. The University of New South Wales (UNSW Sydney) has 35 source-backed AI policy claim records from 9 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
EPFL – École polytechnique fédérale de Lausanne is listed as QS 2026 rank =22. EPFL – École polytechnique fédérale de Lausanne has 34 source-backed AI policy claim records from 35 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
University of California, Berkeley (UCB) is listed as QS 2026 rank =17. University of California, Berkeley (UCB) has 33 source-backed AI policy claim records from 16 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
University of Chicago is listed as QS 2026 rank 13. University of Chicago has 32 source-backed AI policy claim records from 22 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Cornell University is listed as QS 2026 rank 16. Cornell University has 32 source-backed AI policy claim records from 12 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Australian National University (ANU) is listed as QS 2026 rank =32. Australian National University (ANU) has 29 source-backed AI policy claim records from 12 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Yale University is listed as QS 2026 rank 21. Yale University has 27 source-backed AI policy claim records from 24 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
University of Pennsylvania is listed as QS 2026 rank 15. University of Pennsylvania has 27 source-backed AI policy claim records from 14 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
All public university records remain available as crawlable regional appendices. The main report keeps summary coverage links light for mobile readers and answer-engine retrieval.
16 university records across 6 country or region labels. Largest groups: Johannesburg (2), Addis Ababa (1), Alexandria (1), Bloemfontein (1), Cairo (1).
201 university records across 20 country or region labels. Largest groups: Seoul (12), Beijing (11), Hong Kong (7), Shanghai (7), Kuala Lumpur (6).
322 university records across 33 country or region labels. Largest groups: London (13), Moscow (8), Paris (6), Barcelona (5), Dublin (4).
31 university records across 11 country or region labels. Largest groups: Santiago (4), Bogotá (3), Mexico City (3), Montevideo (2), Rio de Janeiro (2).
62 university records across 12 country or region labels. Largest groups: Tehran (5), Amman (4), Ankara (4), Beirut (4), Istanbul (4).
148 university records across 2 country or region labels. Largest groups: New York City (4), Atlanta (3), Baltimore (3), Chicago (3), Montreal (3).
31 university records across 2 country or region labels. Largest groups: Melbourne (6), Sydney (3), Adelaide (2), Parkville (2), Armidale (1).
Versioned public data used by this report.
Machine-readable report index with report URLs, metrics, data links, feed links, and outreach discovery.
Release metadata, counts, artifacts, checksums, citation, limitations, and source-rights caveats.
One public university policy record per JSONL row.
Claim-level records with review states and evidence arrays.
Current recent-changes feed used by the public change pages.
Chart-ready JSON for source-language, review-state, region coverage, campus-region coverage, and ranking coverage summaries.
Machine-readable media, newsletter, researcher-email, and social copy with use boundaries.
Methodology and risk boundaries are part of the report surface, not hidden footnotes.
How source discovery, snapshots, claim extraction, review states, and limitations work.
Suggested citation formats and the fields needed for reuse.
Public API, release artifacts, rights caveats, and checksums.
Short blurbs and email copy for researchers, newsletters, and media citation.