Teaching & Learning
- Student use of AI for coursework is not addressed in a specific university-wide rule in the provided sources
- The risk alert also states that FAMU must establish clear AI policies and AI literacy programs, indicating institution-level policy development rather than a finalized detailed rule
- The student conduct code broadly prohibits cheating through use of prohibited materials or resources and treats submitting work not written by the student, or having another person compose or rewrite an assignment, as plagiarism
(a) Academic Dishonesty:
1. Cheating: using, attempting to use or giving unauthorized information or material in any academic endeavor. Cheating includes, but is not limited to, unauthorized possession and/or use of an examination, course related materials, cheat sheets, study aids or other information in an academic exercise; communication to or collaboration with another through written, visual, electronic, oral means, or any other medium; submitting the same academic work for credit more than once without the express written permission of the instructor; use of any materials or resources a faculty member has notified the student or class are prohibited; or failing to follow the stated rules for an exam, paper, or other academic endeavor.
2. Plagiarism may be specifically defined for the purposes of any course by the school, institute, or college involved. Unless otherwise defined, plagiarism shall include, but is not limited to the student’s use of another’s work without any indication of the source and in so doing, conveying or attempting to convey that the work is the student’s own; submitting a document or assignment in whole or in part that is identical or substantially identical to a document or assignment not written by the student; allowing another person to compose or rewrite an assignment or document.
FAMU must establish clear AI policies and integrate AI literacy programs to ensure students use AI ethically and effectively in their education.
- The provided sources do not set an AI-specific examination rule
- However, the student conduct code prohibits using unauthorized information or materials in academic exercises and says students must follow stated rules for an exam, while the risk alert recommends redesigning assessments to prevent AI-facilitated cheating
1. Cheating: using, attempting to use or giving unauthorized information or material in any academic endeavor. Cheating includes, but is not limited to, unauthorized possession and/or use of an examination, course related materials, cheat sheets, study aids or other information in an academic exercise; communication to or collaboration with another through written, visual, electronic, oral means, or any other medium; submitting the same academic work for credit more than once without the express written permission of the instructor; use of any materials or resources a faculty member has notified the student or class are prohibited; or failing to follow the stated rules for an exam, paper, or other academic endeavor.
✓ Integrate AI Literacy into Curriculum & Assessments – Equip students with the skills to use AI ethically and effectively while redesigning assessments to prevent AI-facilitated cheating.
- FAMU states that AI-driven learning tools can support student engagement, personalized learning, and academic support
- The institution says students should be equipped to use AI ethically and effectively, but the provided sources do not define a binding operational rule for personal study use
• Student Success: AI-driven learning tools can enhance student engagement, personalized learning, and academic support, but unchecked AI use may enable academic misconduct and undermine degree credibility. FAMU must establish clear AI policies and integrate AI literacy programs to ensure students use AI ethically and effectively in their education.
✓ Integrate AI Literacy into Curriculum & Assessments – Equip students with the skills to use AI ethically and effectively while redesigning assessments to prevent AI-facilitated cheating.
Research
- FAMU's current statements are strategic and developmental rather than a specific research-writing policy
- The provided sources acknowledge AI as part of faculty research and broader institutional research activity, but they do not define rules for using AI to draft, edit, or format manuscripts, theses, or dissertations
• Academic Excellence: While AI can streamline research and grading processes, bias in AI decisionmaking poses a risk to fair admissions, grading, and faculty evaluations. Implementing AI oversight frameworks and bias mitigation strategies will protect academic integrity and institutional credibility.
“Innovation at FAMU begins with cultivating a future-ready mindset in our students and supporting groundbreaking research among our faculty,” said Provost Watson. “The AI Council will ensure that our approach to AI is forward-thinking, ethical, and beneficial to society at large.”
The AI Advisory Council will play a pivotal role in assessing the integration of AI across academic disciplines and campus-wide programs. Bringing together faculty experts, staff, and student representatives, the council is charged with identifying opportunities to enhance student training in AI, fostering faculty research collaboration, and promoting ethical, equity-focused AI practices.
- FAMU also frames AI governance and data security as institutional priorities
- The provided sources do not set research-specific rules for AI in data collection or analysis
- They do, however, prohibit entering non-public institutional and personal data into AI tools such as ChatGPT, which would limit some AI-enabled handling of protected data
PRIVACY ADVISORY PROTECT PERSONAL AND CONFIDENTIAL INFORMATION DO NOT ENTER THE FOLLOWING INTO AI TOOLS SUCH AS CHATGPT: • STUDENT NAMES, ID NUMBERS, OR GRADES • EMPLOYEE RECORDS OR PERFORMANCE DATA • HEALTH OR DISABILITY-RELATED INFORMATION • FINANCIAL OR DISCIPLINARY INFORMATION • ANY NON-PUBLIC INSTITUTIONAL DATA FAMU PRIVACY PROGRAM OFFICE OF COMPLIANCE AND ETHICS
FAMU’s data privacy program serves as a safeguard, ensuring the secure collection, processing, and storage of sensitive information on our campus. With an emphasis on compliance with privacy regulations and ethical data handling, this initiative aims to protect the confidentiality and integrity of personal data.
Generative AI presents unparalleled opportunities for innovation in higher education, but without proactive governance, it can become a major risk multiplier. Ensuring academic integrity, data security, and responsible AI use requires a collaborative effort from leadership, faculty, researchers, and staff.
- The provided sources do not define specific requirements for grant proposals, IRB submissions, or formal research ethics declarations involving AI
- FAMU states that its AI approach should be ethical and that ethical, equity-focused AI practices should be promoted across research and academic activity
“Innovation at FAMU begins with cultivating a future-ready mindset in our students and supporting groundbreaking research among our faculty,” said Provost Watson. “The AI Council will ensure that our approach to AI is forward-thinking, ethical, and beneficial to society at large.”
The AI Advisory Council will play a pivotal role in assessing the integration of AI across academic disciplines and campus-wide programs. Bringing together faculty experts, staff, and student representatives, the council is charged with identifying opportunities to enhance student training in AI, fostering faculty research collaboration, and promoting ethical, equity-focused AI practices.
Generative AI presents unparalleled opportunities for innovation in higher education, but without proactive governance, it can become a major risk multiplier. Ensuring academic integrity, data security, and responsible AI use requires a collaborative effort from leadership, faculty, researchers, and staff.
Academic Integrity
- The provided sources do not establish an AI-specific disclosure or citation requirement for academic work
- The student conduct code requires indication of source in the context of plagiarism, but it does not specifically state how AI use must be disclosed or cited
2. Plagiarism may be specifically defined for the purposes of any course by the school, institute, or college involved. Unless otherwise defined, plagiarism shall include, but is not limited to the student’s use of another’s work without any indication of the source and in so doing, conveying or attempting to convey that the work is the student’s own;
- The sources do not provide a detailed AI-specific penalty schedule beyond those general conduct mechanisms
- FAMU indicates that AI detection tools should be used and that academic policies should be updated to protect degree credibility
- Student misconduct enforcement is handled through the student conduct process, and the code allows sanctions up to suspension or expulsion for conduct violations
✓ Monitor AI’s Impact on Learning & Academic Integrity – Use AI detection tools and update academic policies to protect the credibility of degrees.
(3) The University has zero tolerance fordoes not tolerate any violation of any provision of University Regulation 2.028 Anti-Hazing or University Regulation 2.012, Student Code of Conduct. “Zero tolerance”This means that given the factual circumstances of the purported violation, the charged student may be removed from University Housing and receive a sanction including, without limitation, suspension or expulsion from the University.
Accordingly, all purported violations of the Code shall be referred to the University Conduct Officer (Director of Student Conduct and Conflict Resolution). Students, faculty, staff, stakeholders, or other individuals with knowledge, may report violations of the Code, in writing, to the Office of Student Conduct and Conflict Resolution.
Institutional & Administrative
- The risk alert also states that AI can streamline grading processes but requires oversight frameworks and bias mitigation
- No binding operational policy for grading, feedback, lesson planning, or administrative communications is defined in the provided sources
- FAMU provides faculty development around AI use in course design, prompting, student engagement, and AI policies, indicating support for faculty learning and integration efforts
• Academic Excellence: While AI can streamline research and grading processes, bias in AI decisionmaking poses a risk to fair admissions, grading, and faculty evaluations. Implementing AI oversight frameworks and bias mitigation strategies will protect academic integrity and institutional credibility.
#### Using AI
* #### AI Prompt Engineering
* AI in Course Design
* #### Humans at the Center: Empowering Students with AI, Authentic Assignments, and Information Literacy
* #### The Essentials of AI Policies: Academic Integrity + Ethics + Expectations
This year's selection of on-demand videos cover a range of topics to address the diverse needs of faculty across disciplines and at every career level.
- The provided sources focus on privacy protections and responsible data stewardship, but they do not identify an approved list of AI platforms
- FAMU explicitly prohibits entering specified categories of personal, confidential, and non-public institutional data into AI tools such as ChatGPT
PRIVACY ADVISORY PROTECT PERSONAL AND CONFIDENTIAL INFORMATION DO NOT ENTER THE FOLLOWING INTO AI TOOLS SUCH AS CHATGPT: • STUDENT NAMES, ID NUMBERS, OR GRADES • EMPLOYEE RECORDS OR PERFORMANCE DATA • HEALTH OR DISABILITY-RELATED INFORMATION • FINANCIAL OR DISCIPLINARY INFORMATION • ANY NON-PUBLIC INSTITUTIONAL DATA FAMU PRIVACY PROGRAM OFFICE OF COMPLIANCE AND ETHICS
FAMU’s data privacy program serves as a safeguard, ensuring the secure collection, processing, and storage of sensitive information on our campus. With an emphasis on compliance with privacy regulations and ethical data handling, this initiative aims to protect the confidentiality and integrity of personal data.
We establish protocols for risk management, user consent, and incident response, fostering a culture of responsible data stewardship.
- FAMU has established formal AI governance and strategy structures
- Additional governance language in the risk alert and board materials emphasizes structured AI implementation, oversight, records retention, and compliance with public records laws in university business
- The university says the AI Advisory Council will assess AI integration across disciplines and campus programs, support student training and faculty research collaboration, and promote ethical, equity-focused practices
FAMU Provost Watson Establishes AI Council and R1 Task Force to Strengthen Research, Innovation, and Student Success
TALLAHASSEE, Fla.—In a decisive step toward advancing Florida A&M University’s (FAMU) strategic priorities, Provost Allyson L. Watson has established an Artificial Intelligence (AI) Advisory Council and a Carnegie Research 1 (R1) Task Force. Both initiatives underscore FAMU’s commitment to preparing students for emerging workforce demands and to positioning the University as a leader in high-impact research.
The AI Advisory Council will play a pivotal role in assessing the integration of AI across academic disciplines and campus-wide programs. Bringing together faculty experts, staff, and student representatives, the council is charged with identifying opportunities to enhance student training in AI, fostering faculty research collaboration, and promoting ethical, equity-focused AI practices.
However, without proper training and governance, AI adoption may create compliance gaps, data security vulnerabilities, and workforce disruption, requiring a structured AI implementation approach.
Use of AI tools in conducting university business may generate records that are legally considered public records and subject to disclosure requirements.
Content produced or supported by AI and relied upon in institutional decisionmaking may need to be retained and produced in response to public records requests.
AI technologies used in meetings, presentations, or decision-support processes must be managed in a manner consistent with state transparency and public records laws.
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 Florida A&M University's AI Policies
Florida A&M University has defined AI policies in 11 of 12 categories, with an overall coverage score of 92%.
The provided sources do not establish an AI-specific disclosure or citation requirement for academic work. The student conduct code requires indication of source in the context of plagiarism, but it does not specifically state how AI use must be disclosed or cited.
FAMU indicates that AI detection tools should be used and that academic policies should be updated to protect degree credibility. Student misconduct enforcement is handled through the student conduct process, and the code allows sanctions up to suspension or expulsion for conduct violations. The sources do not provide a detailed AI-specific penalty schedule beyond those general conduct mechanisms.
FAMU explicitly prohibits entering specified categories of personal, confidential, and non-public institutional data into AI tools such as ChatGPT. The provided sources focus on privacy protections and responsible data stewardship, but they do not identify an approved list of AI platforms.