University AI Policy Tracker

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

API docsGitHub repo

Policy analysis

Source-backed analysis profiles, not policy advice

The analysis layer turns public claim/evidence records into deterministic policy dimensions. Every non-empty conclusion links back to claim IDs, source URLs, source language, and original evidence.

Profiles36Schemauapt-policy-analysis-v1Review: Machine candidatePublic API/api/public/v1/analysis/index.json
36

analysis profiles

348

evidence-backed dimensions

92/100

average public coverage score

5

source languages preserved

Citation-ready summary

Short answer for researchers, journalists, and AI answer engines.

As of the current public release, University AI Policy Tracker has deterministic policy dimension analysis for 36 university records. 348 records have source-backed evidence for this dimension; 18 records are classified as restricted. These analysis profiles are machine-candidate derived metadata and should be cited with their source claim IDs and public JSON.

Policy Coverage Score measures breadth of public, source-backed coverage. It is not a quality, strictness, legal adequacy, safety, or institutional compliance score.

What this analysis means

The analysis layer is deliberately conservative.

  • It summarizes public tracker claims into consistent dimensions such as disclosure, coursework, exams, privacy, approved tools, and academic integrity.
  • It preserves original-language evidence as canonical and uses localized display only as helper text.
  • It keeps confidence separate from review state. Current analysis profiles are machine candidates until reviewed.

What this analysis does not mean

Boundaries are part of the visible record.

  • This tracker is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.
  • `not_mentioned` means the current public tracker profile does not contain source-backed evidence for that dimension. It does not mean the policy does not exist.
  • Analysis status is derived metadata. Users should inspect the basis claim IDs and source URLs before reuse.

Analysis dimensions

All dimensions are visible and contract-backed.

Policy presence

Whether the public record contains official AI policy or guidance sources.

32: Unclear4: Not Mentioned
Evidence-backed32Not mentioned4

AI disclosure

Whether public guidance addresses disclosure, acknowledgement, citation, or declaration of AI use.

20: Required13: Recommended3: Not Mentioned
Evidence-backed33Not mentioned3

Coursework

Whether public guidance addresses coursework, assignments, syllabi, papers, homework, or submitted work.

24: Restricted6: Required4: Blocked1: Conditionally Allowed
Evidence-backed35Not mentioned1

Exams

Whether public guidance addresses exams, tests, quizzes, or examination conditions.

21: Restricted7: Required4: Blocked4: Not Mentioned
Evidence-backed32Not mentioned4

Privacy and data entry

Whether public guidance addresses personal, confidential, sensitive, regulated, or student data entry into AI tools.

25: Restricted3: Blocked3: Not Mentioned2: Allowed
Evidence-backed33Not mentioned3

Academic integrity

Whether public guidance connects AI use to academic integrity, misconduct, dishonesty, plagiarism, or cheating rules.

18: Restricted9: Required4: Blocked2: Conditionally Allowed
Evidence-backed34Not mentioned2

Approved tools

Whether public guidance identifies institutionally approved, licensed, procured, or enterprise AI tools.

18: Restricted4: Allowed3: Required3: Blocked
Evidence-backed33Not mentioned3

Named AI services

Whether public guidance names AI services such as ChatGPT, Copilot, Claude, Gemini, Grammarly, or DeepSeek.

21: Restricted4: Allowed3: Required3: Blocked
Evidence-backed33Not mentioned3

Teaching guidance

Whether public guidance addresses instructors, teaching, classroom policy, assessment design, or syllabus language.

32: Recommended4: Not Mentioned
Evidence-backed32Not mentioned4

Research guidance

Whether public guidance addresses research use, publication ethics, research data, grants, or human-subjects compliance.

15: Restricted12: Recommended9: Not Mentioned
Evidence-backed27Not mentioned9

Security and procurement

Whether public guidance addresses security review, procurement, vendor approval, risk assessment, authentication, SSO, or licensing.

12: Not Mentioned10: Restricted4: Required3: Blocked
Evidence-backed24Not mentioned12

Coverage score

The score is a coverage breadth measure only.

Open coverage table

Coverage score components sum to 100 points across public evidence categories such as central guidance, academic integrity, disclosure, coursework, exams, privacy/data entry, approved tools, and teaching or research guidance.

The score should never be described as best policy, worst policy, most compliant, legally safe, or institutionally endorsed.

Theme analysis pages

Only themes with enough public evidence are linked from this index.

AI disclosure

Source-backed analysis of public university guidance on disclosing, acknowledging, citing, or declaring AI use.

Open analysis

Privacy and data entry

Source-backed analysis of public university guidance on personal, confidential, sensitive, regulated, or student data entry into AI tools.

Open analysis

Approved AI tools

Source-backed analysis of public university guidance naming approved, licensed, procured, or enterprise AI tools.

Open analysis

Public JSON endpoints

Versioned read-only endpoints for downstream reuse.

Citation format

Use the canonical page and public JSON together.

Suggested citation: University AI Policy Tracker. "University AI policy analysis profiles." Version v1. https://eduaipolicy.org/analysis

Tracker metadata uses CC-BY-4.0. Official source documents, source page text, PDFs, and other source materials retain their original rights and terms.