What are the University's recommendations regarding the ethical use of generative AI for faculty? 

The University recommends that faculty provide guidance to their students about the use of technologies as a part of their course. If a student is unsure regarding the proper use of generative AI as a part of a course assignment, they should consult their faculty. Syllabus guidance for faculty is provided by the Center for Assessment, Teaching, and Technology (UCATT).  

Does the University support generative AI use for staff?  

The University of Arizona offers staff online workshops and training, including O’Reilly and Microsoft Learn as well as EDGE Learning and LinkedIn Learning . Another resource, the Process Automation Team, is a community of practice open to the University community that tackles AI questions, among other topics. 

How can generative AI be integrated into curriculum or research? 

Generative AI will likely be a part of our students’ future. Thus, teaching them how to effectively use these technologies within their academic disciplines can be beneficial. We anticipate that faculty will integrate these tools into their curricula, just as all new relevant technologies have been integrated into curricula and research over the years.  Researchers are already using AI to generate code, analyze data/text, and for many other applications.  Researchers need to be aware of compliance requirements and the implications for research including:  human subjects research (both under HIPAA and not under HIPAA), Indigenous data sovereignty, and other ethical considerations.  

How should faculty approach student work that may have been created with generative AI? 

Faculty generally assess the originality of coursework submitted by the students in their courses, often in consultation with their students (see Academic Freedom and Freedom of Expression). Detection tools should be used with caution when determining the presence of generative AI in writing and other submitted materials. As with any detection tool, false positive results can be expected and taking into account the genesis of work is crucial to making a full determination (see The false positives and false negatives of generative AI detection tools in education and academic research: The case of ChatGPT). 

How are federal agencies reacting to the use of generative AI in research proposal review?  

Currently, the National Institutes of Health (NIH), among other federal agencies, does not allow generative AI usage for grant proposals or peer reviews. Researchers are urged to stay updated on current policies of federal agencies regarding the use of generative AI. This ban hinges on the confidential nature of the peer review process. Uploading proposal information violates that. Other federal agencies are expected to follow suit.   

Do scientific journals accept manuscripts that have used generative AI for text, images, or video?

Each journal review board creates its own guidelines for generative AI use, so researchers are urged to stay updated on each journal's current policies regarding generative AI for each type of media. For example, the journal Nature does not allow the use of generative AI for image or video production. Similarly, Science and Springer Nature do not allow generative AI for text production in their publications. 

What support is available for integrating or using generative AI in your course? 

The Center for Assessment, Teaching, and Technology (UCATT) has a website with resources for teaching and learning with AI, webinars, workshops, and information on faculty learning communities, assignment design and learning, academic integrity, and syllabus policies.   

What are the University's policies regarding the ethical use of generative AI for students? 

For students, the university’s code of academic integrity applies and can be used to determine what is ethical versus unethical conduct regarding the use of generative AI tools. Specifically, students are required to provide proper attribution in their submitted course assignments. Students should consult each instructor's policy regarding AI use and attribution. In general, claiming work created by generative AI as one’s original work would be considered unethical (see the Congressional Research Service on Generative Artificial Intelligence and Copyright Law).  

Can I use generative AI in my coursework? 

The use of generative AI in courses is allowed at the discretion of the instructor. Each course will have its own approach to when, how, or if generative AI may be used. In the case that generative AI is allowed, each course will have specific guidance about how to indicate when and how generative AI was used. Please be sure to consult with each of your instructors on the appropriate use of generative AI in specific courses.  

The following guide from La Trobe University offers some possible suggestions for attributing generative AI use in your work. Please consult with your instructor on the appropriate methods of attribution for specific courses. 

How do I create a citation indicating generative AI use? 

Many citation styles have methods for generative AI attribution. Please see the following guides below that may be relevant to your specific context or field.  

• APA citation guide for generative AI use 

• MLA citation guide for generative AI use 

• Dalhousie University 

• University of Arizona Law Library 

• University of Arizona University Libraries 

Where can I find on-campus guidance and support for using generative AI in my assignments? 

Many campus units offer support for students using generative AI and other AI applications in their courses.  

• Disability Resource Center 

• Salt Center 

• THINK TANK 

• University of Arizona University Libraries 

• Writing Skills Improvement Program (WSIP)