University of Hawaii at Manoa AI Policy

Cheating is an act of academic dishonesty and includes, but is not limited to: (1) use of any unauthorized assistance in taking quizzes, tests, or examinations; (2) use of sources beyond those authorized by the instructor in writing papers, preparing reports, solving problems, or carrying out other assignments; (3) the acquisition, without permission, of tests or other academic material belonging to a member of the UH faculty, staff or student body; and (4) engaging in any behavior specifically prohibited by a faculty member in the course syllabus or class discussion.

Plagiarism is also an act of academic dishonesty and includes, but is not limited to the use, by paraphrase or direct quotation, of the published or unpublished work of another person without full and clear acknowledgement. It also includes the unacknowledged use of AI technology and/or materials prepared by another person or agency available publicly or through a purchase.

The UHM student code of conduct (IV.B.1.a) addresses “Cheating, plagiarism, or other forms of academic dishonesty.” It gives the instructor authority over defining unauthorized assistance, authorized sources, and specifically prohibited behavior in classes. For this reason, instructors are strongly encouraged to:

1. Be specific about expectations and limitations on student use of AI in assignments,

2. Hold students responsible for the accuracy of facts and sources used in assignments, and to

3. Talk through scenarios with classes to provide clarity on expectations

Syllabi and class discussions should make instructor expectations clear with respect to use of AI tools.

Cheating is an act of academic dishonesty and includes, but is not limited to: (1) use of any unauthorized assistance in taking quizzes, tests, or examinations; (2) use of sources beyond those authorized by the instructor in writing papers, preparing reports, solving problems, or carrying out other assignments; (3) the acquisition, without permission, of tests or other academic material belonging to a member of the UH faculty, staff or student body; and (4) engaging in any behavior specifically prohibited by a faculty member in the course syllabus or class discussion.

Expectations-always clearly communicate your expectations when it comes to the use of AI. Clearly articulate academic integrity expectations to students, including guidelines on the appropriate use of AI tools within a syllabus specifying which activities or assignments allow the use of AI with examples of permissible and impermissible use cases.

It gives the instructor authority over defining unauthorized assistance, authorized sources, and specifically prohibited behavior in classes.

Experts agree that generative AI tools are here to stay. Teaching and learning about AI is one piece of a need to assist students in learning appropriate 21st century digital skills.

Faculty and students are encouraged to experiment with AI tools while staying within legal and ethical parameters to the best of their ability.

Tutoring-AI intelligent tutoring systems can provide personalized guidance, feedback, and support to students.

Limitations-students also need to understand the limitations of AI tools. They need to evaluate all information for credibility and accuracy.

Cheating is an act of academic dishonesty and includes, but is not limited to: (1) use of any unauthorized assistance in taking quizzes, tests, or examinations; (2) use of sources beyond those authorized by the instructor in writing papers, preparing reports, solving problems, or carrying out other assignments; (3) the acquisition, without permission, of tests or other academic material belonging to a member of the UH faculty, staff or student body; and (4) engaging in any behavior specifically prohibited by a faculty member in the course syllabus or class discussion.

Plagiarism is also an act of academic dishonesty and includes, but is not limited to the use, by paraphrase or direct quotation, of the published or unpublished work of another person without full and clear acknowledgement. It also includes the unacknowledged use of AI technology and/or materials prepared by another person or agency available publicly or through a purchase.

Recognizing the diverse and evolving nature of generative AI technologies, and the nuanced applications within the University of Hawaiʻi system, a decentralized decision-making approach regarding the use of AI tools is recommended. This approach prioritizes instructor autonomy and allows individual faculty members to determine the appropriateness of incorporating AI tools into their teaching practices.

Expectations-always clearly communicate your expectations when it comes to the use of AI. Clearly articulate academic integrity expectations to students, including guidelines on the appropriate use of AI tools within a syllabus specifying which activities or assignments allow the use of AI with examples of permissible and impermissible use cases.

Plagiarism is also an act of academic dishonesty and includes, but is not limited to the use, by paraphrase or direct quotation, of the published or unpublished work of another person without full and clear acknowledgement. It also includes the unacknowledged use of AI technology and/or materials prepared by another person or agency available publicly or through a purchase.

Academic and research integrity and bias . Outputs may be factually inaccurate, misleading, biased, and/or discriminatory if we rely on the information without proper review. This puts us at risk of violating UH policies and potential liability.

Privacy and security . Personal information shared as an input could potentially become public and/or repurposed to train the software’s learning model, violating data protection laws and UH policies.

Academic and research integrity and bias . Outputs may be factually inaccurate, misleading, biased, and/or discriminatory if we rely on the information without proper review. This puts us at risk of violating UH policies and potential liability.

Consequently, in addition to any formal policy UH adopts for AI, UH Policies on privacy and security (e.g., EP 2.210, EP 2.214, EP 2.215, AP 7.022), academic and research integrity and bias (e.g., EP 1.202, EP 1.204, EP 7.208, EP 12.211); and copyright (e.g., EP 12.205) should also be observed.

Academic and research integrity and bias . Outputs may be factually inaccurate, misleading, biased, and/or discriminatory if we rely on the information without proper review. This puts us at risk of violating UH policies and potential liability.

Consequently, in addition to any formal policy UH adopts for AI, UH Policies on privacy and security (e.g., EP 2.210, EP 2.214, EP 2.215, AP 7.022), academic and research integrity and bias (e.g., EP 1.202, EP 1.204, EP 7.208, EP 12.211); and copyright (e.g., EP 12.205) should also be observed.

Plagiarism is also an act of academic dishonesty and includes, but is not limited to the use, by paraphrase or direct quotation, of the published or unpublished work of another person without full and clear acknowledgement. It also includes the unacknowledged use of AI technology and/or materials prepared by another person or agency available publicly or through a purchase.

It gives the instructor authority over defining unauthorized assistance, authorized sources, and specifically prohibited behavior in classes.

The following are examples of the types of behavior that conflict with the community standards that UH values and expects of students. Engaging in, or attempting to engage in any of these behaviors subjects a student to the disciplinary process and sanctions on each campus.

Cheating, plagiarism, or other forms of academic dishonesty.

Plagiarism is also an act of academic dishonesty and includes, but is not limited to the use, by paraphrase or direct quotation, of the published or unpublished work of another person without full and clear acknowledgement. It also includes the unacknowledged use of AI technology and/or materials prepared by another person or agency available publicly or through a purchase.

Instructors should refrain from sharing or inputting student work into online AI tools, including AI detection tools, without obtaining student consent. Uploading student work has potential FERPA implications as well as potential copyright concerns. Additionally, the uploaded content could be used as data for training of the AI, without the student's consent.

Recognizing the diverse and evolving nature of generative AI technologies, and the nuanced applications within the University of Hawaiʻi system, a decentralized decision-making approach regarding the use of AI tools is recommended. This approach prioritizes instructor autonomy and allows individual faculty members to determine the appropriateness of incorporating AI tools into their teaching practices.

UH will not prescribe a formal policy for the use of AI, rather the importance of empowering instructors to make informed decisions based on their pedagogical goals, subject matter, and student needs will be followed.

Instructors should refrain from sharing or inputting student work into online AI tools, including AI detection tools, without obtaining student consent. Uploading student work has potential FERPA implications as well as potential copyright concerns.

The University of Hawaii has initiated a comprehensive, cross-functional effort to equip the UH community with essential tools, guidance, and best practices for effectively integrating AI into academic and professional environments. Additionally, efforts are underway to develop and implement policy changes that address the evolving impact of AI on work and education.

Privacy and security . Personal information shared as an input could potentially become public and/or repurposed to train the software’s learning model, violating data protection laws and UH policies.

The AI Tool Decision Guide helps University of Hawaiʻi faculty, staff, and students evaluate artificial intelligence tools before use or purchase.

Use this step-by-step checklist before choosing any AI tool. If your use involves Sensitive or Regulated data, submit a request through the Data Governance Process (DGP).

When using AI tools for teaching and learning, research, and work-related functions, it is highly recommended that you use ITS sponsored tools when available. The contract language for ITS sponsored tools has been vetted for privacy and security considerations, such as ensuring that safeguards in place to prevent personal data from being exposed or used for AI training.

This Policy sets forth the University’s expectations of how our Student Data shall be managed by external parties by: (1) establishing institutional requirements that limit the ways in which Third Party Vendors who enter into contracts with the University can use Student Data as part of the delivery of good and services;

This Policy is applicable to any formal or informal agreements, including free online subscriptions, made by faculty and programs that require students to use products directly from Third Party Vendors for School Purposes.

In most cases where Institutional Data will be collected, managed, shared, exchanged, used and/or released with third parties, a Data Governance Process (DGP) review and approval are required.

The University of Hawaii has initiated a comprehensive, cross-functional effort to equip the UH community with essential tools, guidance, and best practices for effectively integrating AI into academic and professional environments. Additionally, efforts are underway to develop and implement policy changes that address the evolving impact of AI on work and education.

University of Hawai‘i Artificial Intelligence Strategy Council (AISC)

UH will not prescribe a formal policy for the use of AI, rather the importance of empowering instructors to make informed decisions based on their pedagogical goals, subject matter, and student needs will be followed.

Recognizing the diverse and evolving nature of generative AI technologies, and the nuanced applications within the University of Hawaiʻi system, a decentralized decision-making approach regarding the use of AI tools is recommended.