What analysis means
Analysis profiles are derived metadata over public claim/evidence records. They summarize policy dimensions without replacing source evidence.
Analisis de politicas
Dimensiones derivadas sobre registros publicos de afirmaciones y evidencia.
perfiles de analisis
dimensiones con evidencia
puntaje medio de cobertura
idiomas fuente conservados
Analysis profiles are derived metadata over public claim/evidence records. They summarize policy dimensions without replacing source evidence.
Coverage score measures breadth of visible public evidence, not policy quality, safety, legality, strictness, or compliance.
Cite the analysis JSON with the related university record, basis claim IDs, source URLs, review state, and original evidence.
For citation context.
As of the current public release, University AI Policy Tracker has deterministic policy dimension analysis for 788 university records. 6515 records have source-backed evidence for this dimension; 228 records are classified as required. 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.
Derived metadata with source links.
All dimensions are visible and contract-backed.
Whether the public record contains official AI policy or guidance sources.
Whether public guidance addresses disclosure, acknowledgement, citation, or declaration of AI use.
Whether public guidance addresses coursework, assignments, syllabi, papers, homework, or submitted work.
Whether public guidance addresses exams, tests, quizzes, or examination conditions.
Whether public guidance addresses personal, confidential, sensitive, regulated, or student data entry into AI tools.
Whether public guidance connects AI use to academic integrity, misconduct, dishonesty, plagiarism, or cheating rules.
Whether public guidance identifies institutionally approved, licensed, procured, or enterprise AI tools.
Whether public guidance names AI services such as ChatGPT, Copilot, Claude, Gemini, Grammarly, or DeepSeek.
Whether public guidance addresses instructors, teaching, classroom policy, assessment design, or syllabus language.
Whether public guidance addresses research use, publication ethics, research data, grants, or human-subjects compliance.
Whether public guidance addresses security review, procurement, vendor approval, risk assessment, authentication, SSO, or licensing.
The score is a coverage breadth measure only.
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.
Publication gates keep analysis pages useful for search and AI answer engines without turning sparse data into thin pages.
Current page-quality status: passes current quality gate. The report covers 5 public analysis pages and keeps review state separate from page publication readiness.
Analysis conclusions, caveats, review state, evidence counts, and public JSON links must be visible in HTML.
Theme analysis pages are generated only when at least five records have source-backed evidence for the dimension.
Review state must be visible and must remain separate from confidence.
Source-language evidence remains canonical; localized display cannot replace it.
Coverage scores must be described only as breadth of public source-backed coverage, not quality, compliance, legality, safety, or ranking.
Pages must state that tracker analysis is not legal advice, academic integrity advice, or an official university statement.
Public analysis metadata must use /api/public/v1/... endpoints.
Quality checks do not publish canonical analysis. They route questionable records into review.
Analysis profiles remain machine_candidate until reviewers confirm evidence binding, not-mentioned reasoning, source-language preservation, page quality gates, and no-advice boundaries.
Only themes with enough public evidence are linked from this index.
Source-backed analysis of public university guidance on disclosing, acknowledging, citing, or declaring AI use.
Open analysisSource-backed analysis of public university guidance on personal, confidential, sensitive, regulated, or student data entry into AI tools.
Open analysisSource-backed analysis of public university guidance naming approved, licensed, procured, or enterprise AI tools.
Open analysisVersioned read-only endpoints for downstream reuse.
Analysis endpoint manifest with dimension definitions and version metadata.
Example per-university analysis profile with dimensions, basis evidence, and coverage score.
Coverage score list for public analysis profiles.
Read-only report of page-quality gates, indexability status, analysis review workflow, and no-advice boundaries.
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.