Policy presence
Syracuse University has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Syracuse, United States
Syracuse University has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
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.
Syracuse University has 3 source-backed public claims for coursework; deterministic analysis status: restricted.
Syracuse University has 4 source-backed public claims for exams; deterministic analysis status: restricted.
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.
Syracuse University has 2 source-backed public claims for academic integrity; deterministic analysis status: restricted.
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.
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.
Syracuse University has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Syracuse University has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
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.
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
4 reviewed evidence-backed public claim
Academic Integrity
Normalized value: ai_detection_alone_insufficient_for_suspected_ai_case
Original evidence
Evidence 1An 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
Normalized value: ai_use_course_and_assignment_specific_under_academic_integrity_policy
Original evidence
Evidence 1The 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
Normalized value: instructors_choose_one_of_three_ai_syllabus_statements
Original evidence
Evidence 1Please 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
Normalized value: library_research_guidance_on_generative_ai_tools
Original evidence
Evidence 1Generative 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.
0 machine or needs-review claim
3 source attribution
policies.syr.edu
library.syracuse.edu
academicaffairs.syracuse.edu