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Utah State University

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage8 reviewedEvidence-backed claims8Reviewed8Candidate0Official sources7Source languageenPublic JSON/api/public/v1/universities/utah-state-university.json

Policy profile

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence76%

Approved tools

Utah State University has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.

AllowedMachine candidateConfidence77%Evidence1Sources1

Security and procurement

Utah State University has 1 source-backed public claim for security and procurement; deterministic analysis status: required.

RequiredMachine candidateConfidence75%Evidence1Sources1

Evidence-backed claims

8 reviewed evidence-backed public claim

Privacy

Utah State University's AI Use & Compliance guidance says sensitive, restricted, or confidential data should not be uploaded or processed in AI tools unless the university has an established privacy agreement with the provider.

Review: Agent reviewedConfidence94%

Normalized value: Do not upload or process sensitive, restricted, or confidential data in AI tools without an established university privacy agreement.

Oryginalny dowod

Evidence 1
Users 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

Utah State University's AI Use & Compliance guidance says AI-generated content must be reviewed for accuracy, bias, and copyright compliance before use in coursework, research, or administrative communications.

Review: Agent reviewedConfidence92%

Normalized value: Review AI-generated content for accuracy, bias, and copyright compliance before using it in coursework, research, or administrative communications.

Oryginalny dowod

Evidence 1
AI-generated content must be reviewed for accuracy, bias, and compliance with copyright regulations before use in coursework, research, or administrative communications.

Teaching

Utah State University's teaching guidance says instructors have autonomy to determine class AI guidelines, but those guidelines must be clearly defined in the syllabus and enforced through Article VI of the Student Code.

Review: Agent reviewedConfidence91%

Normalized value: Instructors set course AI guidelines, define them in the syllabus, and use Student Code Article VI procedures for enforcement.

Oryginalny dowod

Evidence 1
At 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

Utah State University's AI Tools page lists Microsoft Copilot with Data Protection, Zoom AI Companion, Box AI, Google Gemini, and Google NotebookLM as available to current USU students, faculty, or staff, while Microsoft Copilot for Microsoft 365 is available as a purchased add-on by request.

Review: Agent reviewedConfidence90%

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.

Oryginalny dowod

Evidence 1
Microsoft 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

Utah State University's teaching guidance says positive AI detection reports should be approached with skepticism and should not be the only point of evidence or suspicion in an accusation of student cheating.

Review: Agent reviewedConfidence90%

Normalized value: AI detector reports should be treated cautiously and not used as the sole evidence for a cheating accusation.

Oryginalny dowod

Evidence 1
Until 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

Utah State University's research compliance guidance strongly encourages faculty to consider confidentiality when deciding whether AI use is appropriate for research and says researchers should not input confidential, proprietary, or restricted human-subjects data into a generative AI tool.

Review: Agent reviewedConfidence90%

Normalized value: Researchers are strongly encouraged not to input confidential, proprietary, or restricted human-subjects data into generative AI tools.

Oryginalny dowod

Evidence 1
Confidentiality– 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

Utah State University's student AI resources say ChatGPT and other generative AI tools should be treated like other sources for plagiarism and academic integrity, and students should check each professor's policies for when and how AI tools may be used in assignments.

Review: Agent reviewedConfidence88%

Normalized value: Students should acknowledge generative AI use and follow professor-specific AI policies for assignments.

Oryginalny dowod

Evidence 1
ChatGPT 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

Utah State University's Student Code Article VI defines cheating to include depending on sources beyond those authorized by the instructor, and defines plagiarism to include representing another person's work as one's own without full and clear acknowledgment; this is adjacent academic-integrity context referenced by USU's AI teaching guidance.

Review: Agent reviewedConfidence82%

Normalized value: General academic integrity rules cover unauthorized sources and unacknowledged work; this source is not AI-specific by itself.

Oryginalny dowod

Evidence 1
Cheating: ... 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.

Candidate claims

0 machine or needs-review claim

Official sources

7 source attribution

Change log

Last checkedMay 31, 2026Last changedMay 31, 2026Open change log

Corrections

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