Syracuse, United States

Syracuse University

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage4 reviewedEvidence-backed claims4Reviewed4Candidate0Official sources3Source languageenPublic JSON/api/public/v1/universities/syracuse-university.json

Policy profile

Coverage score60/100Coverage labelmoderate public coverageReview: Machine candidateAnalysis confidence77%

AI disclosure

No source-backed public claim about AI disclosure or acknowledgement is present in this profile.

The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Privacy and data entry

No source-backed public claim about privacy or data-entry restrictions is present in this profile.

The current public tracker record does not contain claim evidence about personal, confidential, sensitive, regulated, or student data entry into AI tools.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Approved tools

No source-backed public claim identifying approved or licensed AI tools is present in this profile.

The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Named AI services

No source-backed public claim naming a specific AI service is present in this profile.

The current public tracker record does not contain claim evidence naming a specific AI service.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Teaching guidance

Syracuse University has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence79%Evidence1Sources1

Research guidance

Syracuse University has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence70%Evidence1Sources1

Security and procurement

No source-backed public claim about AI security review or procurement is present in this profile.

The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

AI tools

Derived tool records0

No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.

Evidence-backed claims

4 reviewed evidence-backed public claim

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%

Normalized value: ai_detection_alone_insufficient_for_suspected_ai_case

Original evidence

Evidence 1
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.

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%

Normalized value: ai_use_course_and_assignment_specific_under_academic_integrity_policy

Original evidence

Evidence 1
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:

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%

Normalized value: instructors_choose_one_of_three_ai_syllabus_statements

Original evidence

Evidence 1
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.

Localized display only

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.

Research

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

Review: Agent reviewedConfidence82%

Normalized value: library_research_guidance_on_generative_ai_tools

Original evidence

Evidence 1
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.

Candidate claims

0 machine or needs-review claim

Official sources

3 source attribution

Change log

Last checkedMay 18, 2026Last changedMay 18, 2026Open change log

Corrections

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