Policy presence
University of Nevada - Reno has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Reno, United States
University of Nevada - Reno has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
University of Nevada - Reno has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
University of Nevada - Reno has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
University of Nevada - Reno has 5 source-backed public claims for exams; deterministic analysis status: restricted.
University of Nevada - Reno has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
University of Nevada - Reno has 4 source-backed public claims for academic integrity; deterministic analysis status: required.
University of Nevada - Reno has 2 source-backed public claims for approved tools; deterministic analysis status: allowed.
University of Nevada - Reno has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
University of Nevada - Reno has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
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.
University of Nevada - Reno has 1 source-backed public claim for security and procurement; deterministic analysis status: required.
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
7 reviewed evidence-backed public claim
Academic Integrity
Normalized value: unauthorized_generative_ai_use_defined_as_cheating
Bukti asal
Evidence 1For 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
Normalized value: do_not_share_sensitive_confidential_regulated_data_with_ai_tools
Bukti asal
Evidence 1It 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
Normalized value: ai_usage_policy_applies_to_university_users
Bukti asal
Evidence 1Applicable 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
Normalized value: vendor_risk_management_assessment_before_integrating_ai_tool
Bukti asal
Evidence 1Before 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
Normalized value: ai_detection_not_sole_factor_for_academic_integrity_violation
Bukti asal
Evidence 1AI 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
Normalized value: recommend_syllabus_ai_statement_and_student_discussion
Bukti asal
Evidence 1This 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
Normalized value: cite_ai_generated_works_as_sources_acknowledge_process_use
Bukti asal
Evidence 1Like 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.
0 machine or needs-review claim
6 source attribution
unr.edu
unr.edu
unr.edu
unr.edu
unr.edu
guides.library.unr.edu