Kennesaw State University has defined AI policies across 11 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, Teaching & Learning. The university prohibits the use of AI tools in coursework unless explicitly permitted by instructors. Students are required to disclose and attribute AI-generated content in their academic work. The university employs detection and enforcement mechanisms for unauthorized AI use. Research-related AI policies address manuscript preparation, data analysis, research ethics. At the institutional level, the university has established guidelines for faculty and staff AI use, data protection and approved AI tools, AI governance strategy.
Faculty are encouraged to use one of the following policy options in their syllabus and assignment prompts to clarify expectations around generative AI use in their courses.
No Restriction on Generative AI
Students are permitted to use generative AI tools in this course in all coursework and assignments. Any use of AI must be appropriately cited.
Some Use of Generative AI Permitted
Students are permitted to use generative AI tools in this course for the following activities: [e.g., brainstorming, outlining, editing, etc.] unless otherwise indicated. Any use of AI must be appropriately cited.
Restricted Use of Generative AI
Students are permitted to use generative AI tools in this course only with explicit permission from the instructor and only in the ways allowed by the instructor. Unauthorized or undisclosed use of AI tools will be considered a violation of academic integrity.
No Use of Generative AI Permitted
Students are not permitted to use generative AI tools in this course unless explicitly stated otherwise by the instructor. Unauthorized use of AI in any assignment or activity will be considered a violation of academic integrity.
Students are expected to complete all course work with honesty and integrity. This means that a student’s work should not include any unauthorized assistance from another person, company, website, or AI-generated source. KSU permits the use of AI-generated content only when approved by the instructor and/or in accordance with the assignment directions. All use of AI-generated content must be appropriately cited. Work submitted that includes AI-generated content that has not been approved by the instructor and/or documented as required may be considered a violation of the KSU Code of Conduct.
Cheating is defined as using or attempting to use unauthorized materials, information, or study aids in any academic exercise. This includes but is not limited to:
• Unauthorized use of artificial intelligence (AI) or machine learning tools unless expressly permitted by the instructor
Students are expected to complete all course work with honesty and integrity. This means that a student’s work should not include any unauthorized assistance from another person, company, website, or AI-generated source. KSU permits the use of AI-generated content only when approved by the instructor and/or in accordance with the assignment directions. All use of AI-generated content must be appropriately cited.
Cheating is defined as using or attempting to use unauthorized materials, information, or study aids in any academic exercise. This includes but is not limited to:
• Unauthorized use of artificial intelligence (AI) or machine learning tools unless expressly permitted by the instructor
AI can be a useful tool for brainstorming, feedback, study support, and drafting when used appropriately.
Use AI to support your learning and understanding, not to avoid the hard work of thinking critically and engaging deeply with your coursework.
Fact-check all AI-generated content. AI tools may provide incorrect or biased responses. You are responsible for verifying any information you use.
Always follow your course syllabus and assignment instructions. Faculty may have different rules about whether and how AI tools can be used in their courses.
Some Use of Generative AI Permitted
Students are permitted to use generative AI tools in this course for the following activities: [e.g., brainstorming, outlining, editing, etc.] unless otherwise indicated.
Generative AI and automated writing tools may assist with tasks such as drafting, editing, translation, formatting, grammar checking, and literature review support. However, such use does not qualify the tool for authorship, and all final responsibility rests with the human researcher(s).
AI tools must not be listed as authors or co-authors on any scholarly work. Responsibility for the integrity, originality, and accuracy of the work remains fully with the human author(s).
Researchers and students must disclose the use of AI in manuscripts, theses, dissertations, and presentations in accordance with the citation and acknowledgment standards appropriate to the discipline or publisher.
When AI is used in writing or communication as part of the research process, it must be reviewed critically by the researcher, and all claims, references, and outputs must be verified by a human.
Researchers must comply with disciplinary norms, publisher requirements, funding agency rules, and ethical guidelines that govern AI use in scholarly work.
Use of AI in research involving human subjects, personally identifiable information (PII), protected health information (PHI), or other restricted/sensitive data must comply with KSU policies, IRB protocols, sponsor requirements, and applicable laws.
Researchers must not input confidential, proprietary, export-controlled, or otherwise restricted data into public or unapproved AI tools unless explicitly authorized and protected by appropriate agreements.
AI may be used to support data analysis, coding, classification, transcription, translation, summarization, visualization, and other research-related activities, but researchers remain responsible for validating the accuracy, reliability, and appropriateness of all outputs.
The use of AI-generated or synthetic data must be clearly identified and justified in research records, publications, and presentations when relevant.
Researchers are responsible for evaluating potential bias, fabrication, hallucination, privacy risks, and intellectual property concerns when using AI in any phase of the research process.
Use of AI in research involving human subjects, personally identifiable information (PII), protected health information (PHI), or other restricted/sensitive data must comply with KSU policies, IRB protocols, sponsor requirements, and applicable laws.
Researchers and students must disclose the use of AI in manuscripts, theses, dissertations, and presentations in accordance with the citation and acknowledgment standards appropriate to the discipline or publisher.
AI tools must not be listed as authors or co-authors on any scholarly work. Responsibility for the integrity, originality, and accuracy of the work remains fully with the human author(s).
Researchers should maintain documentation of how AI was used when it materially affects data collection, analysis, interpretation, or written outputs, especially when required for reproducibility, compliance, or audit purposes.
Researchers must comply with disciplinary norms, publisher requirements, funding agency rules, and ethical guidelines that govern AI use in scholarly work.
All use of AI-generated content must be appropriately cited.
When students use generative AI in coursework, they should acknowledge the use in a manner appropriate to the assignment or discipline. This may include identifying the tool used, the date of use, and a brief description of how it contributed to the work.
If AI-generated text, ideas, code, images, or other content are incorporated into an assignment, students must provide citation or attribution in accordance with instructor expectations and applicable style guidelines.
Researchers and students must disclose the use of AI in manuscripts, theses, dissertations, and presentations in accordance with the citation and acknowledgment standards appropriate to the discipline or publisher.
AI can be acknowledged in text similar to the following examples:
I used ChatGPT (OpenAI, chat.openai.com) on January 2, 2025, to help generate ideas for organizing my argument and to revise a paragraph for clarity. I reviewed and edited all output and take responsibility for the final content.
At the end of your assignment, include an acknowledgment statement that describes how the AI tool was used.
Unauthorized or undisclosed use of AI tools will be considered a violation of academic integrity.
Unauthorized use of AI in any assignment or activity will be considered a violation of academic integrity.
Work submitted that includes AI-generated content that has not been approved by the instructor and/or documented as required may be considered a violation of the KSU Code of Conduct.
Cheating is defined as using or attempting to use unauthorized materials, information, or study aids in any academic exercise. This includes but is not limited to:
• Unauthorized use of artificial intelligence (AI) or machine learning tools unless expressly permitted by the instructor
Faculty and staff may use AI tools to support teaching, administrative work, communication, brainstorming, content development, and other professional responsibilities when such use is consistent with university policy and applicable law.
Employees are responsible for reviewing, verifying, and editing AI-generated output before using or sharing it in official university work.
AI should not be used as the sole basis for high-stakes decisions affecting students, employees, or institutional operations.
Faculty retain full responsibility for course design, grading, feedback, academic judgment, and compliance with student privacy and accessibility requirements.
Do not enter restricted or sensitive university data into public AI tools unless the tool has been approved for that type of data and appropriate safeguards are in place.
Examples of restricted or sensitive data include student education records, employee records, health information, financial data, research data subject to restrictions, legal matters, and confidential institutional information.
Do not enter restricted or sensitive university data into public AI tools unless the tool has been approved for that type of data and appropriate safeguards are in place.
Examples of restricted or sensitive data include student education records, employee records, health information, financial data, research data subject to restrictions, legal matters, and confidential institutional information.
Use institutionally approved tools and services when available, especially when working with university data.
Researchers must not input confidential, proprietary, export-controlled, or otherwise restricted data into public or unapproved AI tools unless explicitly authorized and protected by appropriate agreements.
Use of AI in research involving human subjects, personally identifiable information (PII), protected health information (PHI), or other restricted/sensitive data must comply with KSU policies, IRB protocols, sponsor requirements, and applicable laws.
The KSU AI Governance Committee was formed to develop institutional guidance and policy recommendations related to the use of artificial intelligence at Kennesaw State University.
This policy establishes expectations for the responsible use of artificial intelligence (AI) at Kennesaw State University. It applies to students, faculty, staff, and affiliates who use AI tools in connection with university teaching, learning, research, operations, or services.
Users of AI remain responsible for the content, decisions, and outcomes that result from its use.
AI use at KSU must align with existing university policies and all applicable laws and regulations, including those related to academic integrity, privacy, data security, accessibility, discrimination, intellectual property, and research compliance.
This policy will be reviewed and updated as needed to reflect changes in technology, law, and institutional practice.
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.
Kennesaw State University has defined AI policies in 11 of 12 categories, with an overall coverage score of 92%.
KSU requires disclosure and citation of AI use in academic work whenever AI is used. The guidance says students must cite AI-generated content, include an acknowledgment describing how the tool was used, and preserve enough transparency for instructors or readers to understand the extent of AI assistance; manuscript, thesis, and dissertation uses must also follow disciplinary or publisher standards.
KSU treats unauthorized or undisclosed AI use as a potential academic integrity violation and routes enforcement through its student conduct and misconduct procedures. The university materials provided do not establish a specific institutional rule endorsing AI detectors as determinative evidence, but they do specify that unauthorized AI use may be charged as cheating or unauthorized assistance.
KSU prohibits entering restricted, sensitive, confidential, proprietary, export-controlled, or otherwise protected university data into public or unapproved AI tools unless explicit authorization and safeguards are in place. The university emphasizes using institutionally approved tools for protected data and ties AI use to existing data governance, privacy, security, and legal requirements.
Disclaimer:* All university AI policy information presented on this platform is compiled from publicly available information, official university websites, and related academic sources. This data reflects information available at the time of last verification as on 27th February 2026. University and institution names referenced on this platform are the property and trademarks of their respective institutions. Their inclusion does not imply any affiliation with, endorsement by, or partnership with those institutions. Policy coverage scores and categorical indicators are automated assessments derived from available documentation and are provided for informational and comparative purposes only. They do not constitute legal, academic, or compliance advice. Users are advised to exercise their own judgement and independently verify all policy information directly with the respective university before making any academic or institutional decisions. For any queries or corrections, please contact us at support@trinka.ai