Reno, United States

University of Nevada - Reno

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage7 reviewedEvidence-backed claims7Reviewed7Candidate0Official sources6Source languageenPublic JSON/api/public/v1/universities/university-of-nevada-reno.json

Policy profile

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence81%

AI disclosure

University of Nevada - Reno has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.

RequiredMachine candidateConfidence78%Evidence1Sources1

Research guidance

No source-backed public claim about research AI use is present in this profile.

The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Security and procurement

University of Nevada - Reno has 1 source-backed public claim for security and procurement; deterministic analysis status: required.

RequiredMachine candidateConfidence80%Evidence1Sources1

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

7 reviewed evidence-backed public claim

Academic Integrity

UNR's Academic Standards policy defines cheating to include unauthorized use of generative AI content generators or generative AI tools.

Review: Agent reviewedConfidence99%

Normalized value: unauthorized_generative_ai_use_defined_as_cheating

Oorspronkelijk bewijs

Evidence 1
For this policy, “Cheating” is defined as: (1) Obtaining or providing unauthorized resources and/or information while executing, completing or in relation to coursework ... (2) Unauthorized use of generative artificial intelligence (AI) content generators or generative AI tools.

Privacy

UNR strongly advises users not to share sensitive, confidential, or regulated data with AI tools, because tool data-sharing practices may compromise confidentiality.

Review: Agent reviewedConfidence98%

Normalized value: do_not_share_sensitive_confidential_regulated_data_with_ai_tools

Oorspronkelijk bewijs

Evidence 1
It is strongly advised not to share Sensitive, Confidential, or Regulated data on AI tools, as the confidentiality of data may be compromised based on the tool’s data-sharing practices.

Ai Tool Treatment

UNR's OIT AI usage policy applies to students, employees, contractors, and third parties using AI platforms on behalf of the University, and frames responsible AI use around information security, data privacy, copyright, and academic integrity.

Review: Agent reviewedConfidence96%

Normalized value: ai_usage_policy_applies_to_university_users

Oorspronkelijk bewijs

Evidence 1
Applicable to all students, employees, contractors, and third parties utilizing AI platforms on behalf of the University, this policy aims to provide a framework that ensures responsible and ethical AI usage across the institution to be cautious around information security, data privacy, copyright, and academic integrity.

Security Review

UNR directs users to initiate an OIT Compliance vendor risk management assessment before integrating an AI tool into daily tasks.

Review: Agent reviewedConfidence94%

Normalized value: vendor_risk_management_assessment_before_integrating_ai_tool

Oorspronkelijk bewijs

Evidence 1
Before integrating an AI tool into daily tasks, users should initiate a vendor risk management assessment through the Office of Information Technology’s (OIT) Compliance team. This step ensures an evaluation of potential risks associated with the AI tool in review.

Academic Integrity

UNR teaching guidance says AI detection tools are not fully reliable and should not be used as the sole determining factor for deciding whether an AI-related academic standards violation occurred.

Review: Agent reviewedConfidence94%

Normalized value: ai_detection_not_sole_factor_for_academic_integrity_violation

Oorspronkelijk bewijs

Evidence 1
AI detection tools are not fully reliable and should not be used as the sole determining factor in deciding whether a violation of the academic standards policy related to AI usage has occurred.

Teaching

UNR teaching guidance recommends that instructors include an AI statement in the syllabus and discuss with students what AI use is and is not allowed for classes and course assignments.

Review: Agent reviewedConfidence93%

Normalized value: recommend_syllabus_ai_statement_and_student_discussion

Oorspronkelijk bewijs

Evidence 1
This includes communicating with students about what is and is not allowed regarding the use of AI in classes and for course assignments. We recommend that you include an AI statement in the syllabus and discuss it with your students on the first day of class.

Academic Integrity

UNR Library's APA guide says AI-generated works must be cited when used as a quoted, paraphrased, or otherwise incorporated source, while process uses such as brainstorming or proofreading should be acknowledged rather than cited.

Review: Agent reviewedConfidence92%

Normalized value: cite_ai_generated_works_as_sources_acknowledge_process_use

Oorspronkelijk bewijs

Evidence 1
Like traditional sources, AI-generated works must be cited when used as a source that you are quoting, paraphrasing, or otherwise incorporating. When using generative AI tools in your process (e.g., brainstorming, outlining, proofreading, etc.), do not cite but do acknowledge your use somewhere in your methods section, introduction, or footnote.

Candidate claims

0 machine or needs-review claim

Official sources

6 source attribution

AI Technology Usage Guidelines and Procedures | PACK AI | University of Nevada, Reno

unr.edu

Snapshot hash
e37b6a449ed3102f91d47aa970faf91e9e447016bca8ab1f00fe6ea3f196da77

Change log

Last checkedMay 24, 2026Last changedMay 24, 2026Open change log

Corrections

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