Teaching & Learning
- The policy is framed broadly through academic integrity and unauthorized assistance rules, but it does not expressly mention AI tools by name
- The university prohibits students from presenting another source's words, ideas, or methods as their own in coursework, including submitting work they did not personally author
The term academic dishonesty means any action or attempted action which may result in creating an unfair academic advantage for oneself or an unfair academic advantage or disadvantage for any member or members of the academic community.
Academic dishonesty includes, but is not limited to, the following examples of prohibited conduct:
1. Cheating: intentionally using or attempting to use unauthorized materials, information, notes, study aids, videos, online repositories, or other devices or assistance in any academic exercise.
8. Unauthorized Collaboration or Assistance: collaborating on or completing an academic assignment with any person or person(s), group, or entity without authorization from the faculty member.
9. Submitting Another's Work as One's Own: handing in another person's complete paper, examination, project, artwork, assignment, presentation, data, report, or computer code as one's own work.
11. Plagiarism: intentionally or knowingly representing the words or ideas of another as one's own in any academic exercise.
- Use of outside tools or assistance during examinations or other academic exercises is prohibited when not authorized by the instructor
- The policy covers exams generally through unauthorized materials and assistance, but it does not explicitly address AI-specific exam use
Academic dishonesty includes, but is not limited to, the following examples of prohibited conduct:
1. Cheating: intentionally using or attempting to use unauthorized materials, information, notes, study aids, videos, online repositories, or other devices or assistance in any academic exercise.
9. Submitting Another's Work as One's Own: handing in another person's complete paper, examination, project, artwork, assignment, presentation, data, report, or computer code as one's own work.
- The policy applies through academic integrity rules and does not explicitly mention AI coding tools
- The university prohibits students from submitting computer code that is not their own and from using unauthorized assistance on academic work
1. Cheating: intentionally using or attempting to use unauthorized materials, information, notes, study aids, videos, online repositories, or other devices or assistance in any academic exercise.
9. Submitting Another's Work as One's Own: handing in another person's complete paper, examination, project, artwork, assignment, presentation, data, report, or computer code as one's own work.
10. Falsification: intentional and unauthorized invention, alteration, or misuse of any data, result, information, process, or citation in any academic exercise.
Research
- For theses and dissertations, students remain responsible for the integrity and correctness of all submitted work and may not list generative AI as an author
- Generative AI may be used only in a limited assistance role, and any use must be documented in the manuscript with an acknowledgment statement and details in the methods or introductory material as applicable
Students must be aware that they are ultimately responsible and accountable for the contents of the work submitted for publication, including thesis and dissertation documents. Thus, students are expected to review and interpret the outputs generated by AI technologies to ensure accuracy and appropriateness and to acknowledge those portions generated by AI. An AI tool such as ChatGPT may be used to facilitate readability and language of the work, but not as an author, because AI-generated text can not and should not be solely relied on, and should be carefully reviewed before being included in the paper.
A manuscript that includes text generated from AI must include a statement in the acknowledgments and methods sections or introductory section as to how and why AI was used in the writing of the manuscript.
- The sources provided do not set a specific standalone rule for AI-based data analysis or synthetic data generation
- Researchers must independently verify information, and if AI-generated text or material is used in a manuscript, the use must be disclosed
- The university requires researchers to use generative AI carefully in research because outputs may be inaccurate, incomplete, or fabricated
The key challenge with Gen AI is that its output can be inaccurate, incomplete, or misleading and can include “hallucinations,” i.e. made-up references, quotations, and facts. Therefore, researchers should not rely solely on AI-generated text and are advised to independently verify all information and carefully review and edit generated content before finalizing any manuscript, proposal, or report.
A manuscript that includes text generated from AI must include a statement in the acknowledgments and methods sections or introductory section as to how and why AI was used in the writing of the manuscript.
Students must be aware that they are ultimately responsible and accountable for the contents of the work submitted for publication, including thesis and dissertation documents. Thus, students are expected to review and interpret the outputs generated by AI technologies to ensure accuracy and appropriateness and to acknowledge those portions generated by AI.
- The university's research misconduct framework covers fabrication, falsification, and plagiarism in research, but it does not create AI-specific misconduct rules
- For research-related writing, the university also warns that researchers must not rely solely on generative AI and must verify content before using it in manuscripts, proposals, or reports
Research misconduct means fabrication, falsification, or plagiarism in proposing, performing, or reviewing research, or in reporting research results.
The key challenge with Gen AI is that its output can be inaccurate, incomplete, or misleading and can include “hallucinations,” i.e. made-up references, quotations, and facts. Therefore, researchers should not rely solely on AI-generated text and are advised to independently verify all information and carefully review and edit generated content before finalizing any manuscript, proposal, or report.
Academic Integrity
- For thesis and dissertation manuscripts, disclosure of AI-generated text is required
- Students must acknowledge portions generated by AI, and manuscripts using AI-generated text must include a statement explaining how and why AI was used
Students must be aware that they are ultimately responsible and accountable for the contents of the work submitted for publication, including thesis and dissertation documents. Thus, students are expected to review and interpret the outputs generated by AI technologies to ensure accuracy and appropriateness and to acknowledge those portions generated by AI.
A manuscript that includes text generated from AI must include a statement in the acknowledgments and methods sections or introductory section as to how and why AI was used in the writing of the manuscript.
- Enforcement is handled through the academic integrity process, including faculty reporting, student meetings, sanctions, and appeals
- The university provides formal academic misconduct procedures and sanctions for integrity violations, but the sources do not define an AI-detection-tool policy
A faculty member who has reason to believe that a student may have engaged in a violation of the Academic Integrity Policy shall notify the student of the basis for that belief and provide the student with an opportunity to respond.
When a faculty member determines that a student has violated the Academic Integrity Policy, the faculty member may assign an educational sanction or penalty for the course, including, but not limited to, assignment of a grade reduction or failure in the assignment or course.
The University may also impose additional disciplinary sanctions for violations of the Academic Integrity Policy. Disciplinary sanctions that may be imposed include, but are not limited to, educational sanctions, restrictions, probation, suspension, and expulsion from the University.
Institutional & Administrative
- The university indicates institutionally supported access to Google Gemini for students and presents its use within a broader campus AI initiative
- However, the provided sources do not define a formal university-wide data-entry rule, approved/prohibited AI platform policy, or AI-specific data classification standard
Morgan State University is expanding educational access to generative artificial intelligence by making Google Gemini available to all students.
The initiative reflects Morgan's larger vision for a human-centered smart campus where technology serves the needs and aspirations of students, faculty, and staff while advancing institutional excellence.
- The sources describe vision and strategic direction, but they do not set out a formal AI governance policy with binding institution-wide rules
- Morgan State has articulated an institutional strategy centered on a human-centered smart campus and broad AI adoption for teaching, learning, and operations
Morgan State University is expanding educational access to generative artificial intelligence by making Google Gemini available to all students.
The initiative reflects Morgan's larger vision for a human-centered smart campus where technology serves the needs and aspirations of students, faculty, and staff while advancing institutional excellence.
Morgan State University leaders outlined a sweeping vision for the future of higher education on Thursday during a daylong summit that focused on the transformative role of artificial intelligence in teaching, learning, campus operations and student success.
The summit's theme, “Advancing Human-Centered AI for a Smart Campus,” framed AI as a strategic opportunity to improve university systems while keeping equity, inclusion and human relationships at the center of innovation.
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 Morgan State University's AI Policies
Morgan State University has defined AI policies in 10 of 12 categories, with an overall coverage score of 83%.
For thesis and dissertation manuscripts, disclosure of AI-generated text is required. Students must acknowledge portions generated by AI, and manuscripts using AI-generated text must include a statement explaining how and why AI was used.
The university provides formal academic misconduct procedures and sanctions for integrity violations, but the sources do not define an AI-detection-tool policy. Enforcement is handled through the academic integrity process, including faculty reporting, student meetings, sanctions, and appeals.
The university indicates institutionally supported access to Google Gemini for students and presents its use within a broader campus AI initiative. However, the provided sources do not define a formal university-wide data-entry rule, approved/prohibited AI platform policy, or AI-specific data classification standard.