Policy presence
Utah State University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Logan, United States
Utah State University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Utah State University has 2 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Utah State University has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Utah State University has 5 source-backed public claims for exams; deterministic analysis status: required.
Utah State University has 3 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Utah State University has 3 source-backed public claims for academic integrity; deterministic analysis status: required.
Utah State University has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.
Utah State University has 3 source-backed public claims for named ai services; deterministic analysis status: restricted.
Utah State University has 5 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Utah State University has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.
Utah State University has 1 source-backed public claim for security and procurement; deterministic analysis status: required.
8 reviewed evidence-backed public claim
Privacy
Normalized value: Do not upload or process sensitive, restricted, or confidential data in AI tools without an established university privacy agreement.
Original evidence
Evidence 1Users are responsible for ensuring that sensitive, restricted, or confidential data (including FERPA, HIPAA, Personal Data, and proprietary university information) is not uploaded or processed in AI tools unless the university has an established privacy agreement with the provider.
Other
Normalized value: Review AI-generated content for accuracy, bias, and copyright compliance before using it in coursework, research, or administrative communications.
Original evidence
Evidence 1AI-generated content must be reviewed for accuracy, bias, and compliance with copyright regulations before use in coursework, research, or administrative communications.
Teaching
Normalized value: Instructors set course AI guidelines, define them in the syllabus, and use Student Code Article VI procedures for enforcement.
Original evidence
Evidence 1At USU, instructors are granted some autonomy to determine their own class guidelines relative to AI. However, such guidelines must be clearly defined in the syllabus, and enforcement must follow the procedures outlined in Article VI of the student code.
Ai Tool Treatment
Normalized value: USU lists several AI tools as available for current students, faculty, and staff; Copilot for Microsoft 365 is a purchased add-on by request.
Original evidence
Evidence 1Microsoft Copilot with Data Protection Available ... Available for any current USU student, faculty, or staff. ... Zoom AI Companion Available ... Box AI Available ... Google Gemini Available ... Google NotebookLM Available ... Microsoft Copilot for Microsoft 365 Upon Request.
Academic Integrity
Normalized value: AI detector reports should be treated cautiously and not used as the sole evidence for a cheating accusation.
Original evidence
Evidence 1Until more conclusive research exists on the accuracy of AI detection tools, positive AI detection reports should be approached with skepticism. They should not be the only point of evidence or suspicion in an accusation of student cheating.
Research
Normalized value: Researchers are strongly encouraged not to input confidential, proprietary, or restricted human-subjects data into generative AI tools.
Original evidence
Evidence 1Confidentiality– Researchers should not input any confidential, proprietary, or restricted (i.e., human subjects) data into a generative AI tool. Significant questions involving data privacy, ownership, and access when using generative AI tools warrants caution.
Academic Integrity
Normalized value: Students should acknowledge generative AI use and follow professor-specific AI policies for assignments.
Original evidence
Evidence 1ChatGPT and other generative AI tools should be treated the same way as any other source when it comes to plagiarism and academic integrity. ... Always check your professor's policies to see when/how you are allowed to use these tools in your assignments.
Academic Integrity
Normalized value: General academic integrity rules cover unauthorized sources and unacknowledged work; this source is not AI-specific by itself.
Original evidence
Evidence 1Cheating: ... depending on the aid of sources beyond those authorized by the instructor in writing papers, preparing reports, solving problems, or carrying out other assignments; ... Plagiarism: representing ... the published or unpublished work of another person as one's own ... without full and clear acknowledgment.
0 machine or needs-review claim
7 source attribution
usu.edu
usu.edu
usu.edu
usu.edu
research.usu.edu
usu.edu
usu.edu