Faculty Guiding Principles

These are the essential guidelines on integrity, transparency, access, and literacy for using AI tools responsibly in an academic setting.

Integrity

Use of AI to grade or give feedback on assignments should be clearly stated in the syllabus and have explicit approval from students. Instructors should offer a human-alternative (e.g., teacher, TA) for those who do not consent.
Do not use AI to grade assignments or input student work/information without prior approval from students (FERPA). Ensure all data is deidentified when using in an AI tool.
Prioritize using vetted UNO enterprise tools when using AI in your work.
Due to the unreliability and bias of AI detection tools, using these tools to identify violations of academic integrity should be a starting point for discussion, not as conclusive evidence. All investigations into academic integrity should not rely solely on one accountability measurement (see the procedures section of the academic integrity policy for more guidance).
Ensure AI integration in your class promotes ethical and responsible use of AI.
Provide students with citation or attribution guidelines for AI use.
Address potential AI biases by fostering discussions about fairness and inclusion in its applications.
Always think critically about AI output; cross check results with web searches, or relevant places to ensure accuracy and reliability.
Always analyze AI output for bias and stereotypes to reduce potential harm in final output.
Regularly evaluate AI use to prevent an overreliance on the tool.

Create a syllabus statement for each course that includes:
An explanation of the instructor’s stance on AI is for the course.
Clear examples of permitted and prohibited AI use.
Potential consequences for unapproved uses.
Include AI use statements in assignments to provide clear guidance for when and how AI is permitted or prohibited.
To model ethical behavior, clearly state when AI assisted in the creation of an assignment, content, or course design.
Clearly identify AI-generated materials (e.g., images) in lectures or other course materials.

Ensure the AI tools used in class are available to all students, regardless of background or financial resources.
Regularly assess AI-generated course content for fairness, accuracy, and inclusivity.
Use AI to adapt teaching materials for diverse learning needs (e.g., multilingual or accessible resources).

Support and encourage continuous learning; attend workshops, webinars, etc.
Incorporate AI-focused assignments that teach students how to be ethical and responsible users and consumers of AI.
Offer explanations and lectures on AI capabilities and ethical considerations in your field as an integral part of the learning experience.
Prioritize discussions about the benefits and limitations of AI in addition to the ethics of using AI in faculty roles at the university.