Baylor College of Medicine AI Policy

PrivateLast Updated: February 2026

Academic IntegrityInstitutional & AdministrativeResearchTeaching & Learning
Visit Website ↗
Policy Coverage
83%10 of 12
Prohibited
Coursework
This university prohibits AI tool usage for coursework and assignments unless explicitly authorized by the instructor.
Required
Disclosure
Students must formally disclose and cite any AI assistance used when submitting academic work.
Tools Active
Detection
The university employs AI detection software (such as Turnitin or similar tools) to identify AI-generated content in submissions.
Committee Active
Governance
The university has established a dedicated committee, task force, or working group to oversee AI governance.
POLICY OVERVIEW

AI Policy Summary

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.

📚

Teaching & Learning

U1Coursework & Assignments
AI ProhibitedAttribution RequiredViolations Enforced
  • Use of AI on graded coursework is treated as an academic integrity matter and students are responsible for following course-specific rules
  • In the School of Medicine, unauthorized use of “outside assistance” on assignments, papers, projects, reports, or take-home exams is prohibited, and some course materials state that AI use may be allowed only when explicitly directed by the course director

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.

U2Examinations & Assessments
AI Prohibited in ExamsIntegrity Code Applies
  • The policy expressly covers examinations and other assessments conducted inside or outside the classroom
  • AI use during exams or formal assessments is prohibited when it constitutes unauthorized outside assistance

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; ...

U3Learning & Study Assistance
📋
No policy defined yet
U4Code Generation & Programming
📋
No policy defined yet
🔬

Research

U5Research Writing & Manuscript Preparation
Editing-Level Use Allowed
  • For graduate research writing, Baylor requires students to certify authorship and identify the role of any AI system used in writing or editing a thesis or dissertation
  • AI may be used only as a tool and cannot be listed as an author; students remain fully responsible for the accuracy, originality, and proper attribution of the work, and committee approval is required before using AI in thesis or dissertation preparation

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.

U6Research Data & Analysis
AI Analysis RestrictedHuman Oversight Required
  • Baylor addresses AI use in research primarily through restrictions tied to confidentiality and dissertation/thesis oversight rather than a general research-data AI policy
  • Students are told not to enter text from unpublished manuscripts into AI systems, and when AI is used in dissertation work, the use must be disclosed in the methods or acknowledgments with the student retaining responsibility for the resulting content

• 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.

U7Research Ethics & Integrity
AI Not an AuthorReview Board InvolvedEthics Framework Active
  • Baylor’s research-writing rules frame AI use as a research integrity issue for theses and dissertations
  • Committee permission is required before use, AI cannot be credited as an author, the student must disclose how AI was used, and the student remains responsible for integrity, originality, and accuracy

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.

🎓

Academic Integrity

U8Disclosure & Attribution Requirements
Disclosure MandatoryCitation Required
  • 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

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.

U9Detection & Enforcement
Detection Tools UsedPenalties Defined
  • 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 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

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.

🏛️

Institutional & Administrative

U10Faculty & Staff Use
Staff GuidelinesTraining Available
  • They do, however, offer faculty development and educational technology resources that include AI-related training and guidance on teaching technologies
  • The provided materials do not set a direct policy on faculty or staff use of AI for grading, feedback, recommendation letters, or administrative writing

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.

U11Institutional Data Protection & Approved AI Platforms
Approved Tools ListedData Protection Active
  • The policy specifically bars entering content that could reveal personal, health, financial, or other protected information into external AI systems without institutional authorization
  • 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

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

U12University AI Governance & Strategy
Governance Body ActiveAI Strategy Defined
  • The clearest university-level governance language is the compliance rule requiring approval before sensitive institutional data is used with public AI systems
  • Baylor has an institutional AI governance statement focused on privacy, security, and approval-based use of public generative AI tools, but the provided materials do not describe a broader university AI strategy, roadmap, or standing AI committee

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.

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.

FREQUENTLY ASKED QUESTIONS

Common Questions About Baylor College of Medicine's AI Policies

📋

Verify this Information

Related Universities

Same State or Region

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