University of Nebraska-Lincoln AI Policy

Using materials or resources during an exam or for an assignment that are not authorized by the instructor.

Taking all or part of work that someone else or an entity prepared and submitting it as one’s own.

Engaging in plagiarism by presenting the words or ideas of another person or entity as one’s own.

Students must read instructions and syllabi carefully so that they know what their instructors expect in terms of academic integrity.

Failing to follow academic integrity policies outlined in a course syllabus.

Copying from another student’s exam, assignment, or project.

Using materials or resources during an exam or for an assignment that are not authorized by the instructor.

Using devices during an exam that are not authorized by the instructor.

Taking an exam for another student or allowing their exam to be taken by someone else.

Students who are unsure whether or not particular conduct is appropriate should ask their instructors or university administrators.

Using materials or resources during an exam or for an assignment that are not authorized by the instructor.

Taking all or part of work that someone else or an entity prepared and submitting it as one’s own.

UNL employees and students must accept responsibility and accountability for the content produced by AI technology.

The role of AI in generating and/or revising content must be clearly disclosed in a way that no reader could possibly miss and that a typical reader would find sufficiently easy to understand.

i. In general, the use of AI tools to edit the content of a few sentences does not usually require disclosure; however, the use of AI tools to improve the content of an entire manuscript requires disclosure, and the UNL employee(s) and/or student(s) must ensure that the AI-generated or - revised content is accurate and has not been plagiarized.

Use of AI tools to insert or impart knowledge or creative activities must be disclosed.

Reliability and Safety: Since data sources are constantly changing, and new and larger sources of data are added, outputs from AI systems must be continuously monitored and validated.

UNL employees and students must:

a) Validate results from decisions made by AI systems based on their research or other evidence.

Data placed into AI tools that are externally available become open source and available to the public.

UNL employees and students are expected to follow federal guidelines for making data generated with federal funding available to the public; however, they should be cautious about placing preliminary data or sensitive information into open-sourced AI tools prior to publication or prior to seeking and subsequent filing of patents.

UNL employees and students are expected to:

a) Implement robust data security measures to protect data with PII used in AI research and development.

b) Be mindful of data ownership and consent when using data with PII for AI projects. Obtain informed consent from individuals and comply with relevant privacy regulations.

Ethical and responsible use of AI must be paramount in all university research and creative activities that seek to develop or enhance AI systems or implement the use of AI technologies.

Federal funding agencies prohibit the use of AI tools during the peer-review process.

Using AI in the peer review process is a breach of confidentiality because these tools “have no guarantee of where data are being sent, saved, viewed or used in the future.”

Research personnel are accountable for any plagiarized, falsified, or fabricated material that was generated by AI, regardless of funding.

The published content must be attributed to UNL and the UNL employee(s) and/or student(s).

The role of AI in generating and/or revising content must be clearly disclosed in a way that no reader could possibly miss and that a typical reader would find sufficiently easy to understand.

i. In general, the use of AI tools to edit the content of a few sentences does not usually require disclosure; however, the use of AI tools to improve the content of an entire manuscript requires disclosure, and the UNL employee(s) and/or student(s) must ensure that the AI-generated or - revised content is accurate and has not been plagiarized.

ii. Use of AI tools to insert or impart knowledge or creative activities must be disclosed.

The following language may be used for this purpose: “The author(s) generated this text in part with [insert name of AI tool and company or reference for AI tool], a large-scale language-generation model. Upon generating draft language, the author(s) reviewed, edited, and revised the language to their own liking and the author(s) take(s) ultimate responsibility for the content of this publication.”

The Office of Student Conduct & Community Standards (SCCS) is responsible for investigating, tracking, and educating the University community about academic integrity.

As required by Faculty Senate Policy, all faculty members must report any violation of academic misconduct that they determine has occurred in their class to SCCS.

As detailed below, a faculty member or instructor of record who determines that a student has, more likely than not, committed an act of academic dishonesty in a course or academic activity, 1 must report the incident and may, in the exercise of his or her professional judgment, impose academic sanction(s) and/or make recommendations for nonacademic sanctions:

Whenever sanctions are imposed, the faculty member/instructor shall report, in writing or using the Report a Violation link from Student Conduct,4 the evidence for the offense,

This CTT resource introduces faculty to A.I. and provides information about common questions around policies and adapting instruction.

Your syllabus is an essential document for conveying expectations to your students.

it is highly recommended that you think about how you might incorporate a policy related to A.I. use into your existing course structure.

There’s no one-size-fits-all approach here since courses differ vastly from one another and there is wide variety in how instructors are incorporating A.I. into their courses.

Data placed into AI tools that are externally available become open source and available to the public.

UNL employees and students are expected to follow federal guidelines for making data generated with federal funding available to the public; however, they should be cautious about placing preliminary data or sensitive information into open-sourced AI tools prior to publication or prior to seeking and subsequent filing of patents.

UNL employees and students are expected to:

a) Implement robust data security measures to protect data with PII used in AI research and development.

Follow applicable privacy laws and regulations (e.g., HIPAA, FERPA, EU GDPR, PIPL, and CCPA) and best practices when using data that includes PII.

UNL employees and students must follow the University of Nebraska’s Policy for Responsible Use of University Computers and Information Systems, Policy on Research Data and Security, and Policy on Risk Classification and Minimum Security Standards.

Recognizing these challenges, it becomes imperative for UNL employees and students to embrace guiding principles and best practices that are centered on fostering the responsible and ethical development, adoption, and use of AI in research and creative activities at UNL.

This document describes guiding principles and best practices for AI in research and creative activities at UNL. The Vice Chancellor for Research and Innovation will work with the college and IANR deans, center directors, and departmental executive officers (DEOs) to ensure that all UNL employees and students that develop or use AI in research and creative activities will follow these guidelines and best practices.