University of Nevada, Las Vegas (UNLV) has defined AI policies across 12 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, Teaching & Learning. AI tools are generally permitted in coursework, subject to instructor guidelines. Students are required to disclose and attribute AI-generated content in their academic work. The university employs detection and enforcement mechanisms for unauthorized AI use. Research-related AI policies address manuscript preparation, data analysis, research ethics. At the institutional level, the university has established guidelines for faculty and staff AI use, data protection and approved AI tools, AI governance strategy.
Acceptable use of AI depends on how your instructor has addressed the use of AI in your class. If your instructor prohibits the use of AI and you use it on assignments, exams, quizzes, or other coursework, then it may constitute academic misconduct.
Students should understand when and where it is appropriate to use AI-assisted technologies. Examples of AI misuse include, but are not limited to:
• Using AI to complete an assignment when not authorized by the instructor.
• Submitting AI-generated work as original work.
• Using AI during an exam or quiz without authorization.
• Using AI-generated content without proper citation or attribution.
Artificial intelligence (AI) platforms and tools may be used if authorized by the course instructor and are documented appropriately.
Unauthorized use of artificial intelligence (AI) technologies. Unauthorized use of artificial intelligence (AI) technologies for completion of any coursework, including using artificial intelligence technologies to generate student work products, answers, or solutions or to aid in the completion of assignments, examinations, or quizzes is prohibited unless expressly authorized by the course instructor. Examples of unauthorized use of artificial intelligence tools include, but are not limited to, image generators, translational services, prompts, and computer code generators.
If your instructor prohibits the use of AI and you use it on assignments, exams, quizzes, or other coursework, then it may constitute academic misconduct.
Students should understand when and where it is appropriate to use AI-assisted technologies. Examples of AI misuse include, but are not limited to:
• Using AI during an exam or quiz without authorization.
Unauthorized use of artificial intelligence (AI) technologies. Unauthorized use of artificial intelligence (AI) technologies for completion of any coursework, including using artificial intelligence technologies to generate student work products, answers, or solutions or to aid in the completion of assignments, examinations, or quizzes is prohibited unless expressly authorized by the course instructor.
It's not all about cheating; there are ways to use AI for learning, from tutoring to brainstorming and more.
Generative AI can be a valuable companion throughout the learning process for students.
Stuck? Ask it to explain things in a different way.
Use AI to support study strategies, such as creating flashcards or practice quizzes.
Use AI to get over writer's block by generating ideas or outlines.
Ask AI to create examples or practice scenarios.
Verify accuracy. Always fact-check and critically evaluate outputs before relying on them.
Follow instructor guidance. Ask what level of AI use is allowed in your class.
Students should understand when and where it is appropriate to use AI-assisted technologies.
Unauthorized use of artificial intelligence (AI) technologies. Unauthorized use of artificial intelligence (AI) technologies for completion of any coursework, including using artificial intelligence technologies to generate student work products, answers, or solutions or to aid in the completion of assignments, examinations, or quizzes is prohibited unless expressly authorized by the course instructor. Examples of unauthorized use of artificial intelligence tools include, but are not limited to, image generators, translational services, prompts, and computer code generators.
AI can assist in drafting, editing, and formatting research outputs, but it should not replace scholarly judgment or critical analysis.
Researchers are responsible for all content in their manuscripts, including any portions generated or revised with AI assistance.
Do not list AI tools as authors.
Use AI for support tasks such as grammar assistance, formatting, outlining, or brainstorming, while ensuring substantive intellectual contributions remain human.
Follow journal, publisher, sponsor, and disciplinary guidelines regarding AI disclosure and acceptable use.
AI tools can support literature synthesis, coding, transcription, data visualization, and other research tasks.
Verify all outputs for accuracy, bias, and appropriateness.
Do not enter confidential, proprietary, export-controlled, or human subjects data into public AI tools.
Researchers must comply with data security requirements, IRB protocols, sponsor terms, and applicable laws when using AI.
Do not put highly sensitive, regulated, or confidential data into public AI tools.
If working with human subjects, consult the IRB before using AI in recruitment, data collection, analysis, or intervention.
University data classification defines how data may be stored, accessed, used, and shared. Data stewards and custodians shall ensure institutional data are protected according to classification level and applicable legal, regulatory, and contractual requirements.
Researchers must comply with data security requirements, IRB protocols, sponsor terms, and applicable laws when using AI.
If working with human subjects, consult the IRB before using AI in recruitment, data collection, analysis, or intervention.
Do not enter confidential, proprietary, export-controlled, or human subjects data into public AI tools.
Research misconduct is fabrication, falsification, or plagiarism in proposing, performing, reviewing research, or in reporting research results.
Artificial intelligence (AI) platforms and tools may be used if authorized by the course instructor and are documented appropriately.
Using AI-generated content without proper citation or attribution.
Submitting AI-generated work as original work.
Follow journal, publisher, sponsor, and disciplinary guidelines regarding AI disclosure and acceptable use.
If your instructor prohibits the use of AI and you use it on assignments, exams, quizzes, or other coursework, then it may constitute academic misconduct.
Unauthorized use of artificial intelligence (AI) technologies for completion of any coursework, including using artificial intelligence technologies to generate student work products, answers, or solutions or to aid in the completion of assignments, examinations, or quizzes is prohibited unless expressly authorized by the course instructor.
Students are subject to sanctions for violations of this policy.
Alleged violations of academic integrity are handled under the procedures set forth in this Policy.
Faculty can use AI to enhance course design, generate ideas, create practice materials, and streamline administrative tasks.
Set clear expectations for students about when and how AI use is allowed.
Review all AI outputs carefully for accuracy, bias, and alignment with course goals.
Staff can use AI to support drafting, summarizing, brainstorming, and improving workflows.
Do not use AI as the sole basis for decisions that affect people, finances, legal obligations, or official university records.
Human review is required before acting on AI-generated output.
Do not enter confidential, sensitive, or regulated university data into public AI tools.
Do not enter confidential, sensitive, or regulated university data into public AI tools.
Do not put highly sensitive, regulated, or confidential data into public AI tools.
Use only university-approved tools and services when available.
University data classification defines how data may be stored, accessed, used, and shared.
Data stewards and custodians shall ensure institutional data are protected according to classification level and applicable legal, regulatory, and contractual requirements.
UNLV's RebelAI initiative is expanding to accelerate innovation in teaching, learning, research, and operations.
Generative AI at UNLV
UNLV is embracing generative AI to enhance teaching, empower learning, advance research, and transform work.
This site provides guidance, examples, and resources for using generative AI responsibly and effectively across the university.
Knowing your institution's AI policy is step one. DocuMark helps enforce it fairly by empowering universities to manage AI-generated content, prevent cheating, and support student writing through responsible AI use.
University of Nevada, Las Vegas (UNLV) has defined AI policies in 12 of 12 categories, with an overall coverage score of 100%.
UNLV requires documentation or proper citation when AI use is authorized for student work, and it treats undisclosed AI-generated content as misconduct when submitted as original work. For research, UNLV instructs users to follow journal, publisher, sponsor, and disciplinary disclosure rules.
UNLV ties unauthorized AI use to existing academic misconduct and academic integrity enforcement processes. The provided sources do not define a university-wide stance on AI detection tools, but they do state that unauthorized AI use may be sanctioned under student conduct and academic integrity policies.
UNLV requires users to protect institutional data and not enter confidential, sensitive, regulated, or highly sensitive information into public AI tools. The university’s AI and IT guidance emphasizes using approved university technologies and complying with data classification and governance requirements.
Disclaimer:* All university AI policy information presented on this platform is compiled from publicly available information, official university websites, and related academic sources. This data reflects information available at the time of last verification as on 27th February 2026. University and institution names referenced on this platform are the property and trademarks of their respective institutions. Their inclusion does not imply any affiliation with, endorsement by, or partnership with those institutions. Policy coverage scores and categorical indicators are automated assessments derived from available documentation and are provided for informational and comparative purposes only. They do not constitute legal, academic, or compliance advice. Users are advised to exercise their own judgement and independently verify all policy information directly with the respective university before making any academic or institutional decisions. For any queries or corrections, please contact us at support@trinka.ai