Teaching & Learning
- Course-level AI use for assignments is at instructor discretion through syllabus policy options
- Faculty are directed to state the policy explicitly, and the options range from complete prohibition to allowing some or all assignments with required attribution and a requirement that most work remain the student's own
Guidance for the syllabus:
Regarding language model and other generative AI technologies, including those such as ChatGPT, and their
relationship to teaching and learning, the policy in the syllabus should be explicitly stated with reference to the
university Academic Dishonesty Policy. Faculty members have the flexibility to choose from the following
options if relevant to their course of instruction:
• Not Permitted: Assistance from large language model and other generative AI technologies, including
those such as ChatGPT, is not allowed for any activities or assignments. All submissions must be the
original work of the student, and the use of AI-generated content is strictly prohibited. Possible
disciplinary action for violations of this course policy is described in the university's Academic Dishonesty
Policy.
• Permitted for Some Activities with Attribution: The use of large language model and other generative AI
technologies, including those such as ChatGPT, is allowed only for specified activities or assignments,
but proper attribution is required. Students should clearly indicate when AI-generated content has been
used and cite the specific language model and platform employed following the citation guidelines
specified by APA, MLA, or any other relevant academic style. However, the majority of the work must still be the original creation of the student. Possible disciplinary action for violations of this course policy
is described in the university's Academic Dishonesty Policy.
• Permitted for All Activities with Attribution: The use of large language model and other generative AI
technologies, including those such as ChatGPT, is permitted for all activities and assignments, but proper
attribution is required. Students should acknowledge the use of AI-generated content and provide
appropriate citations following the guidelines specified by APA, MLA, or any other relevant academic
style. It is important to emphasize that even with AI assistance, students are expected to engage
critically and creatively with the material to produce their work. Possible disciplinary action for
violations of this course policy is described in the university's Academic Dishonesty Policy.
- The same syllabus options can prohibit AI for any activities or assignments or allow it with attribution, so exam and assessment use is left to instructor policy where relevant
- The university does not set a single AI exam rule in the sources provided, but it tells faculty to choose and state course-level AI rules in the syllabus with reference to academic dishonesty
Guidance for the syllabus:
Regarding language model and other generative AI technologies, including those such as ChatGPT, and their
relationship to teaching and learning, the policy in the syllabus should be explicitly stated with reference to the
university Academic Dishonesty Policy. Faculty members have the flexibility to choose from the following
options if relevant to their course of instruction:
• Not Permitted: Assistance from large language model and other generative AI technologies, including
those such as ChatGPT, is not allowed for any activities or assignments. All submissions must be the
original work of the student, and the use of AI-generated content is strictly prohibited. Possible
disciplinary action for violations of this course policy is described in the university's Academic Dishonesty
Policy.
• Permitted for Some Activities with Attribution: The use of large language model and other generative AI
technologies, including those such as ChatGPT, is allowed only for specified activities or assignments,
but proper attribution is required.
• Permitted for All Activities with Attribution: The use of large language model and other generative AI
technologies, including those such as ChatGPT, is permitted for all activities and assignments, but proper
attribution is required.
- However, the sources do not define a specific student policy for personal study use apart from course-level syllabus rules where applicable
- The university describes AI as having benefits for teaching and learning and provides institutionally approved access and training for the campus community
Generative AI has many potential applications and benefits for teaching and learning, such as enhancing creativity, personalization, engagement, and feedback.
The AI Accelerator is North Carolina A&T State University's comprehensive program, led by Information Technology Services (ITS), that empowers our campus community to leverage artificial intelligence through education, support, and secure access to cutting-edge technologies.
Copilot Chat is an AI-powered assistant that helps you research, summarize, brainstorm, and get quick answers—all in a conversational interface. Available to all faculty, staff, and students through our Microsoft enterprise license.
- In the journal policy, coding use must be disclosed and cited, but that statement is limited to journal submissions rather than coursework
- For teaching and learning, coding-related AI use is handled through instructor-selected syllabus policies rather than a single university-wide student rule
Guidance for the syllabus:
Regarding language model and other generative AI technologies, including those such as ChatGPT, and their
relationship to teaching and learning, the policy in the syllabus should be explicitly stated with reference to the
university Academic Dishonesty Policy. Faculty members have the flexibility to choose from the following
options if relevant to their course of instruction:
• Not Permitted: Assistance from large language model and other generative AI technologies, including
those such as ChatGPT, is not allowed for any activities or assignments.
• Permitted for Some Activities with Attribution: The use of large language model and other generative AI
technologies, including those such as ChatGPT, is allowed only for specified activities or assignments,
but proper attribution is required.
• Permitted for All Activities with Attribution: The use of large language model and other generative AI
technative AI technologies, including those such as ChatGPT, is permitted for all activities and assignments, but proper
attribution is required.
Substantial intellectual work remains the author’s responsibility. The author must explicitly disclose GAI use for generating texts, images, graphics, tables, or figures; processing data; translating texts; or coding. All GAI use must be cited.
Research
- AI use must be explicitly disclosed, cited, and described in both the cover letter and the manuscript, and AI cannot be listed as an author
- For submissions to the Honors College Journal of Teaching and Research, AI may be used in manuscript preparation, including drafting and grammar correction, but authors remain responsible for the intellectual work and final content
A GAI tool may not be listed as an author on a manuscript. Authorship is reserved for human authors who meet the journal’s submission criteria.
Substantial intellectual work remains the author’s responsibility. The author must explicitly disclose GAI use for generating texts, images, graphics, tables, or figures; processing data; translating texts; or coding. All GAI use must be cited. Citation styles for GAI can be found in the Publication Manual of the American Psychological Association, the MLA Handbook, and the Chicago Manual of Style.
GAI may be used to correct grammatical, mechanical, and spelling errors, but that use must also be explicitly disclosed.
Authors must provide a clear statement covering the use of GAI tools in the manuscript submission.
The disclosure should appear in the cover letter to the editor and in the manuscript (ideally in an Acknowledgements section). This approach ensures transparency and the ethical use of GAI.
- For journal submissions, authors may use AI for processing data, but they must disclose and cite that use, and human authors remain responsible for data collection, analysis, validity, and findings
- Separately, unpublished research data and findings are classified as sensitive data and may be used only with university-approved AI tools, department head authorization, and anonymization when possible
Substantial intellectual work remains the author’s responsibility. The author must explicitly disclose GAI use for generating texts, images, graphics, tables, or figures; processing data; translating texts; or coding. All GAI use must be cited.
Human authors are responsible for:
* generating arguments
* providing scientific insights
* conducting analyses
* collecting and analyzing data
* ensuring the validity of content
* drawing conclusions
Authors remain responsible for ensuring the originality of their work, proper citation of sources, and validity of any data, analyses, or findings. The use of GAI tools does not relieve authors of these responsibilities.
2— Sensitive Data
* Student academic records and transcripts
* Employee personnel files and evaluations
* Unpublished research data and findings
* Third-party contracted data
* Donor information and giving records
* Disciplinary records
Restricted to university-approved AI tools with enterprise data security agreements. Requires department head authorization and data anonymization when possible.
- The sources do not provide a university-wide AI policy for grant proposals or IRB applications
- For the Honors College Journal of Teaching and Research, however, the university sets integrity rules requiring human responsibility, transparency, originality, confidentiality in review, and possible investigation, correction, or retraction if undisclosed AI use or plagiarism is later discovered
This policy establishes expectations for the responsible use of GAI tools in submissions to the Honors College Journal of Teaching and Research.
Human authors are responsible for:
* generating arguments
* providing scientific insights
* conducting analyses
* collecting and analyzing data
* ensuring the validity of content
* drawing conclusions
The editorial and peer-review processes forHonors College Journal of Teaching and Research remains human-centered. Editors and reviewers must not rely on GAI to replace their own critical evaluation, nor may they load confidential manuscripts into GAI tools. Uploading manuscripts to a GAI system violate the journal’s confidentiality agreements and the copyright law.
Once a manuscript is accepted, if undisclosed GAI use or plagiarism are discovered, the Honors College Journal of Teaching and Research may initiate an investigation. The investigation could lead to correction or retraction.
Academic Integrity
- Disclosure and attribution are explicitly required where AI use is allowed in course syllabus options and in journal submissions
- In courses, students must indicate AI-generated content and cite the tool when the instructor permits AI with attribution; in the journal policy, all AI use must be cited and authors must provide a detailed disclosure statement describing the tool, use, reason, human verification, and human responsibility
This includes providing proper attribution when AI-generated content is used or presented.
Citations should follow the guidelines specified by academic writing styles such as APA, IEEE, MLA, or
other relevant citation styles.
Students should clearly indicate when AI-generated content has been
used and cite the specific language model and platform employed following the citation guidelines
specified by APA, MLA, or any other relevant academic style.
Students should acknowledge the use of AI-generated content and provide
appropriate citations following the guidelines specified by APA, MLA, or any other relevant academic
style.
Substantial intellectual work remains the author’s responsibility. The author must explicitly disclose GAI use for generating texts, images, graphics, tables, or figures; processing data; translating texts; or coding. All GAI use must be cited.
Authors must provide a clear statement covering the use of GAI tools in the manuscript submission. At minimum, this statement should include:
* the name(s) and version(s) of the GAI tool(s) used
* a description of how the tool was used
* the reason for using the tool
* a statement of the extent to which output was verified, edited, or corrected by the human authors
* an explicit affirmation that the human authors remain responsible for all final content, accuracy, originality, and integrity
The disclosure should appear in the cover letter to the editor and in the manuscript (ideally in an Acknowledgements section).
- The university states that using artificial intelligence for academic misconduct is prohibited and handled through student conduct procedures and sanctions
- Faculty are also encouraged to use alternative assessments and technology tools that facilitate identifying AI-generated content when necessary, but the sources do not mandate a specific detection platform
a. Cheating or assisting another in Academic misconduct, including utilization of artificial intelligence
or other technology-based tools for the purpose of Academic misconduct.
Faculty members are encouraged to explore alternative assessment approaches and technology tools
that promote academic integrity and facilitate the identification of AI-generated content when
necessary.
If it is alleged that a Student Code of Conduct violation has occurred, the student or student
organization will receive a written notice of the charge(s) from the Office of Student Conduct and
Conflict Resolution outlining the allegations and related prohibited conduct along with information
for a scheduled disciplinary proceeding.
Sanctions serve both educational and corrective purposes.
Institutional & Administrative
- Faculty and staff are encouraged to use AI responsibly in teaching, research, and operations, with training and institutionally supported tools provided by the university
- For university digital properties, AI-generated text, code, images, audio, and video require human review for accuracy, accessibility, branding alignment, and disclosure where synthetic media could mislead users
When incorporating ChatGPT or any other generative artificial intelligence (AI) technology into course
materials, assignments, or discussions, faculty members at the university should promote ethical use of
these tools.
The AI Accelerator Initiative is transforming the way our Aggie community learns, works, and leads with artificial intelligence. This training hub brings together live sessions, on-demand videos, and in-depth courses to help faculty and staff build confidence in using AI responsibly and effectively.
From foundational literacy to advanced applications, each offering provides practical, university-approved guidance designed to boost productivity, streamline workflows, and spark new possibilities in teaching, research, and operations.
These guidelines apply to text, code, images, and multimedia generated for the university website, communications, and digital platforms.
Accuracy and Quality Assurance: Review all AI-generated material for accuracy, coherence, and relevance. A human reviewer must verify that the content does not contain "hallucinations"—incorrect information presented as fact.
Use for Drafts and Ideation: Treat AI-generated content as a starting point for further refinement by human writers and editors. Avoid relying on AI to produce final, polished content without comprehensive review.
Audio and Video Transparency: Ensure that any AI-generated audio or video (including voiceovers or synthetic presenters) is clearly disclosed to the user to prevent misrepresentation.
- The university requires AI use to follow institutional data classification rules
- The university also identifies institutionally licensed tools approved for campus use, including Microsoft Copilot for faculty, staff, and students
- Confidential information must never be entered into public generative AI tools; sensitive and controlled data are limited to university-approved tools, with sensitive data also requiring department head authorization and anonymization when possible; public data may be used with any generative AI tool
Protect Sensitive Information: Never input confidential university information, student data protected by FERPA, personally identifiable information (PII), or sensitive internal communications into public generative AI tools.
Approved Tools: Only utilize AI platforms that have been vetted and approved for university use when handling institutional data.
Any use of AI tools must align with our data classification standards outlined in our Information Security Policy (ISP), which defines four categories of institutional data: Confidential, Sensitive, Controlled, and Public.
2— Sensitive Data
* Student academic records and transcripts
* Employee personnel files and evaluations
* Unpublished research data and findings
* Third-party contracted data
* Donor information and giving records
* Disciplinary records
Restricted to university-approved AI tools with enterprise data security agreements. Requires department head authorization and data anonymization when possible.
3— Controlled Data
* Internal university policies and procedures
* Department budgets and financial reports
* Staff directories and organizational charts
* Internal meeting minutes and communications
* Campus facility usage data
* Proprietary administrative systems data
* Internal research proposals and drafts
Restricted to university-approved AI tools with enterprise data security agreements.
4— Public Data
* University catalogs and course descriptions
* Published research papers and abstracts
* Public event announcements
* General campus information and maps
* Marketing materials and brochures
* Public faculty profiles and contact information
* Press releases and news articles
Unrestricted use of any generative AI tools and services. No special approvals required.
The AI tools listed below are institutionally licensed and available to the entire campus community.
Copilot Chat is an AI-powered assistant that helps you research, summarize, brainstorm, and get quick answers—all in a conversational interface. Available to all faculty, staff, and students through our Microsoft enterprise license.
- The university has an institution-level AI initiative led by ITS and describes it as a comprehensive program built around education, support, secure access, and responsible use
- Its governance structure includes an AI Working Group that reviews and updates guidance, and the university frames AI adoption around approved tools, training, data governance, and support for teaching, research, and administrative work
The AI Accelerator is North Carolina A&T State University's comprehensive program, led by Information Technology Services (ITS), that empowers our campus community to leverage artificial intelligence through education, support, and secure access to cutting-edge technologies.
At NC A&T, AI tools are becoming an integral part of how we support teaching, learning, and administrative work.
The AI Accelerator Initiative is transforming the way our Aggie community learns, works, and leads with artificial intelligence.
Remember that AI-generated content should always be used thoughtfully, with consideration for its impact on communication, aesthetics, and ethical standards. The A.I. Working Group Communications and Awareness team will regularly review and update these guidelines as AI technology evolves.
DocuMark: Responsible AI Use for Academic Integrity
Knowing your institution's AI policy is step one. DocuMark helps enforce it fairly by empowering universities to manage AI-generated content, prevent cheating, and support student writing through responsible AI use.
Common Questions About North Carolina A&T State University's AI Policies
North Carolina A&T State University has defined AI policies in 12 of 12 categories, with an overall coverage score of 100%.
Disclosure and attribution are explicitly required where AI use is allowed in course syllabus options and in journal submissions. In courses, students must indicate AI-generated content and cite the tool when the instructor permits AI with attribution; in the journal policy, all AI use must be cited and authors must provide a detailed disclosure statement describing the tool, use, reason, human verification, and human responsibility.
The university states that using artificial intelligence for academic misconduct is prohibited and handled through student conduct procedures and sanctions. Faculty are also encouraged to use alternative assessments and technology tools that facilitate identifying AI-generated content when necessary, but the sources do not mandate a specific detection platform.
The university requires AI use to follow institutional data classification rules. Confidential information must never be entered into public generative AI tools; sensitive and controlled data are limited to university-approved tools, with sensitive data also requiring department head authorization and anonymization when possible; public data may be used with any generative AI tool. The university also identifies institutionally licensed tools approved for campus use, including Microsoft Copilot for faculty, staff, and students.