University AI Policy Tracker

Dossiers ouverts et fondes sur des preuves sur les politiques IA universitaires.

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Change log

Syracuse University

Source-backed change history with no release-to-release policy diff rows recorded yet; current claims, official sources, review state, and freshness remain visible across 0 public release records.

Review: Agent reviewedLast checkedMay 18, 2026Last changedMay 18, 2026Claims4Sources3Release records0
University pagePublic JSONMonthly reportUniversity index

Change summary

Current public record freshness and review state.

Syracuse University currently has 4 source-backed claim records and 3 official source attributions. Latest tracked changed date: May 18, 2026. No tracker diff rows are recorded in the latest public release.

This page combines all public release diffs for Syracuse University. Individual release snapshots remain available from their release-specific URLs.

No release-to-release policy diff rows are recorded for this university yet. The page still tracks current source-backed claims, official source attributions, review state, source freshness, and public JSON for discovery and citation.

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.

Newly extracted claims are tracker additions and are not necessarily newly published by the university. Source snapshot changes show hash changes for the same source URL and are not by themselves policy changes.

Diff categories

Semantic classification for this release diff.

Policy text0Newly extracted0Evidence0Source snapshots0Source text0Source added0Source removed0

Combined release diff

Unified tracker diff generated from all public release snapshots for this university.

Syracuse University combined release diff

Initial tracked release. Lines represent public claim/evidence records entering the release snapshot.

+8-0
11 # Syracuse University AI policy record
2+academic_integrity: For suspected inappropriate generative AI use, Syracuse University's Academic Integrity Policy says an incident report cannot rely only on AI detection results and must explain course- and assignment-specific AI rules.
3+Evidence (en, 00756192d375): An academic integrity incident report suspecting a student of inappropriate Generative-AI use cannot be submitted to the AIO with only AI detection results as proof of violation (i.e., reporting instructor must submit additional evidence beyond AI detection). Any incident report concerning use of AI must explain the course- and assignment-specific rules set by the instructor for use of AI, including relevant portions of any syllabus statements.
4+academic_integrity: Syracuse University's Academic Integrity Policy says permitted AI use may vary by course or assignment, and treats inappropriate AI use as a failure to do one's own work.
5+Evidence (en, 00756192d375): The permitted use of AI may vary from course to course and assignment to assignment based on the specific learning outcomes of the course or assignment. While inappropriate use of AI tools is considered failure to do one's own work, there are specific guidelines required of instructors submitting a suspected AI case to the AIO:
6+teaching: Syracuse Academic Affairs tells instructors to choose one of three AI syllabus statements and says suspected AI academic-integrity cases will not be investigated unless the syllabus contains one of those statements.
7+Evidence (en, dcfddcb2a2a2): Please copy and paste the "Required Syllabus Language" below into your syllabus exactly as it is written. You must then choose one "Artificial Intelligence Language" statement that best represents your course needs. Cases that involve suspected academic integrity violations for inappropriate use of artificial intelligence will not be investigated unless the course syllabus contains one of the three artificial intelligence statements provided below.
8+research: Syracuse University Libraries says it is using, testing, and providing research guidance on generative AI tools in the research process.
9+Evidence (en, 524c067f680e): Generative Artificial Intelligence (AI) has gained attention in academia beyond the ethical use of AI among students. Researchers and developers have been working to create and enhance their AI tools specifically for academic researchers to provide a better and easier user experience. Syracuse University Libraries is committed to using, testing and providing research guidance on the use of these AI tools in the research process.

Release history

0 public release diffs

Claim changes

4 claim records

academic_integrity

For suspected inappropriate generative AI use, Syracuse University's Academic Integrity Policy says an incident report cannot rely only on AI detection results and must explain course- and assignment-specific AI rules.

Review: Agent reviewedConfidence95%Evidence1Languagesen

academic_integrity

Syracuse University's Academic Integrity Policy says permitted AI use may vary by course or assignment, and treats inappropriate AI use as a failure to do one's own work.

Review: Agent reviewedConfidence94%Evidence1Languagesen

teaching

Syracuse Academic Affairs tells instructors to choose one of three AI syllabus statements and says suspected AI academic-integrity cases will not be investigated unless the syllabus contains one of those statements.

Review: Agent reviewedConfidence93%Evidence1Languagesen

research

Syracuse University Libraries says it is using, testing, and providing research guidance on generative AI tools in the research process.

Review: Agent reviewedConfidence82%Evidence1Languagesen

Source snapshots

3 source attributions