Baylor College of Medicine has defined AI policies across 10 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.
Examples of cheating include but are not limited to: ... unauthorized collaboration; use of another person's work and representing it as your own (plagiarism); the use of unauthorized materials, devices or outside assistance during an examination, assignment, paper, project, report, or presentation (which includes any assignment or assessment inside or outside the classroom); submission for credit, without authorization, of papers or other work prepared by another person; ... completing an assignment or taking an examination for another person; submitting the same or substantially the same paper or report for more than one course or requirement without the permission of the relevant faculty, clerkship or elective directors or course directors.
Use of AI for assignments is prohibited unless specified as a directed learning activity by the course director.
Examples of cheating include but are not limited to: ... the use of unauthorized materials, devices or outside assistance during an examination, assignment, paper, project, report, or presentation (which includes any assignment or assessment inside or outside the classroom); ... completing an assignment or taking an examination for another person; ...
Students are expected to perform all aspects of writing and editing of the thesis/dissertation. Artificial intelligence (AI) systems may be used only as tools to assist in this process. AI systems may not be listed as authors.
The student must receive permission from their thesis/dissertation advisory committee prior to using AI in the writing or editing process and in the final thesis/dissertation defense, the student must describe the ways in which they used AI in preparing and editing the final dissertation. Students should adhere to the following guidelines in using AI:
• The student takes full responsibility for the integrity and originality of all aspects of the thesis/dissertation.
• The student is responsible for all information included in the thesis/dissertation, including any generated using AI systems, and they therefore should carefully review and validate the accuracy and appropriateness of all content created and modified by AI systems.
• The student should disclose in the Methods or Acknowledgment section the manner in which AI was used in the design and execution of the study and in the writing of the final dissertation.
• If AI systems are used to create visuals for inclusion in the thesis/dissertation, these should be cited according to the requirements of the thesis/dissertation style guide being used.
• The student should review all citations generated by AI for accuracy and be aware that AI-generated references may be fabricated.
• Students should not enter text from unpublished manuscripts into AI systems, as there are no assurances of confidentiality.
• The student should disclose in the Methods or Acknowledgment section the manner in which AI was used in the design and execution of the study and in the writing of the final dissertation.
• Students should not enter text from unpublished manuscripts into AI systems, as there are no assurances of confidentiality.
Students are expected to perform all aspects of writing and editing of the thesis/dissertation. Artificial intelligence (AI) systems may be used only as tools to assist in this process. AI systems may not be listed as authors.
The student must receive permission from their thesis/dissertation advisory committee prior to using AI in the writing or editing process and in the final thesis/dissertation defense, the student must describe the ways in which they used AI in preparing and editing the final dissertation. Students should adhere to the following guidelines in using AI:
• The student takes full responsibility for the integrity and originality of all aspects of the thesis/dissertation.
• The student is responsible for all information included in the thesis/dissertation, including any generated using AI systems, and they therefore should carefully review and validate the accuracy and appropriateness of all content created and modified by AI systems.
The student must receive permission from their thesis/dissertation advisory committee prior to using AI in the writing or editing process and in the final thesis/dissertation defense, the student must describe the ways in which they used AI in preparing and editing the final dissertation.
• The student should disclose in the Methods or Acknowledgment section the manner in which AI was used in the design and execution of the study and in the writing of the final dissertation.
• If AI systems are used to create visuals for inclusion in the thesis/dissertation, these should be cited according to the requirements of the thesis/dissertation style guide being used.
Any student, faculty, administration or staff may report a violation of this section to the Associate Dean of Student Affairs or the Associate Dean for Curriculum. The Associate Dean of Student Affairs or Associate Dean for Curriculum will investigate the alleged violation and may refer the matter to the Honor Council, and/or to the Promotions Committee, if they determine such referral is appropriate.
The Associate Dean of Student Affairs or Associate Dean for Curriculum may implement one or more of the following sanctions if they determine that a student has violated this section: student counseling, coaching, remediation, monitoring, notation in the student’s file, assignment of a lower or failing grade on an examination or assignment, or suspension or dismissal from the College.
The purpose of the Honor Council is to review any charge alleging student misconduct; hold a hearing if required; make a determination as to whether a violation occurred; and to set the appropriate sanction in accordance with the guidelines outlined below.
The Honor Council may impose sanctions if it determines a violation has occurred. Sanctions can include but are not limited to the following: written reprimand, remediation and counseling, grade reduction, course failure, suspension, or dismissal.
AI and Integrity
How can instructors and course directors leverage generative AI to create assignments and assessments that are more resistant to AI-enabled cheating? This workshop explores best practices for using generative AI in education while maintaining academic integrity.
This workshop also addresses how to create your own custom AI assistant and integrate it into Blackboard to provide on-demand student support while preserving instructor oversight.
BCM offers a range of educational technologies to support your teaching and learning activities. From simulation equipment and anatomical table to video and multimedia resources, explore the tools that can enhance your educational programs.
The Center for Teaching and eLearning provides high-quality educational resources and support for Baylor College of Medicine educators. We can assist with workshop facilitation, presentation consultation, educational technology, and Blackboard support.
Baylor College of Medicine prohibits the use of publicly available generative artificial intelligence tools (such as ChatGPT, Gemini, Copilot, etc.) for confidential, sensitive, or proprietary information unless expressly approved by BCM.
Examples of information that should not be entered into public AI systems include, but are not limited to:
• Protected Health Information (PHI)
• Personally Identifiable Information (PII)
• Financial account or payment card information
• Confidential research data or unpublished findings
• BCM proprietary business, legal, or strategic information
• Any data subject to federal or state confidentiality regulations
Baylor College of Medicine prohibits the use of publicly available generative artificial intelligence tools (such as ChatGPT, Gemini, Copilot, etc.) for confidential, sensitive, or proprietary information unless expressly approved by BCM.
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.
Baylor College of Medicine has defined AI policies in 10 of 12 categories, with an overall coverage score of 83%.
Where Baylor expressly permits AI in thesis or dissertation preparation, disclosure is required. Students must describe how AI was used, disclose that use in the methods or acknowledgments, and cite AI-generated visuals according to the applicable style guide.
Baylor does not define an AI detection-tool policy in the provided materials, but it does provide enforcement procedures for academic misconduct that would apply to unauthorized AI use as cheating. Alleged violations may be referred to the Honor Council, and sanctions can include remediation, grade penalties, suspension, or dismissal depending on the program and violation.
Baylor requires protection of sensitive institutional data and states that publicly available generative AI tools may not be used for confidential or proprietary college information unless approved by the institution. The policy specifically bars entering content that could reveal personal, health, financial, or other protected information into external AI systems without institutional authorization.
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