STUDENT AI GUIDELINES

Guidelines for generative AI use

Be bold. Be curious.

Student expectations and responsibilities when using AI tools in academic settings apply in conjunction with instructors’ syllabi and any additional department or course-specific policies. The guidelines below outline what students can and cannot do when using generative AI tools (such as ChatGPT, Gemini, or other platforms) for classwork at UW-Whitewater. Please check your class syllabus and always follow any additional rules from your instructor.

General AI guidelines for students

Permissible use

Please check with your instructor on when and where GenAI use is allowed.

Students may use AI tools only when explicitly permitted by the instructor. If permitted, appropriate uses of AI may include:

Brainstorming ideas for assignments
Organizing outlines or structure
Improving grammar, clarity, or phrasing
Formatting citations or reference lists
Assisting with coding or presentation design

Disclosure requirements

Your class may have specific disclosure requirements on the use of Generative AI. Please check your class syllabus and follow up with your instructor regarding any disclosure requirements. For guidance on how to cite generative AI tools in your assignments, please refer to the UW-Whitewater Library’s AI citation guide.

Academic integrity

Using AI without permission or pretending AI work is your own counts as academic misconduct and may result in penalties under UW-Whitewater’s academic integrity policy. For more details on academic misconduct refer to UWS Chapter 14.

Student responsibilities

Even with permissible use of generative AI within a class, students are responsible for all coursework pertaining to that class (regardless of format), whether it is lab work, field work, class assignments, quizzes and exams, discussions or other course requirements. If you use generative AI, make sure to:

Fact-check everything! AI content may be inaccurate, biased, or fabricated (“hallucinated”).
Respect course rules.
Always follow your instructor’s policies on AI.

Academic misconduct

Please review UWS Chapter 14 procedures or contact the UW-Whitewater Dean of Students Office for additional clarity.

Students should consult their instructor if they are unsure whether Generative AI use is permitted for a given assignment.

AI-related academic misconduct includes, but is not limited to:

Submitting AI-generated content as original work without disclosure.
Using AI during assessments or exams without permission.
Generating false citations, data, or plagiarizing from AI output.

Any misconduct involving AI will be treated under UW-Whitewater's existing academic integrity procedures.

AI courses at UW-Whitewater

Interested in studying AI? Check out the available programs and courses at UW-Whitewater.

Programs

Undergraduate courses

COMPSCI 332: Introduction to Artificial Intelligence
COMPSCI 432: Introduction to Machine Learning
COMPSCI 437: Natural Language Processing and Large Language Modeling
COMPSCI 454: Machine Learning for Cybersecurity
ECON 350: Big Data Methods for Economics
ECON 777: Machine Learning for Business Applications
ITSCM 285: AI-Powered Web Design
ITSCM 384: Applied Data Mining and Artificial Intelligence for Business
ITSCM 414: Text Mining and Generative AI
Marketing 350: Marketing Communications and Artificial Intelligence
Marketing 353: Advanced Digital Marketing and Artificial Intelligence
Marketing 400: Artificial Intelligence and Marketing Innovation
Marketing 445: Marketing Analytics and Artificial Intelligence

Graduate courses

COMPSCI 732: Machine Learning
Marketing 777: Artificial Intelligence in Marketing

Hands-on learning in AI

UW-Whitewater’s computer science major — which includes numerous opportunities to participate in undergraduate research, interactive labs, and student clubs and organization — offers an emphasis in artificial intelligence. Take courses in AI, machine learning, natural language processing and large language modeling.

Computer science program