University of Texas at Dallas AI Policy

TexasPublicLast Updated: February 2026

Academic IntegrityInstitutional & AdministrativeResearchTeaching & Learning
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Policy Coverage
100%12 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.
Strategy Set
Governance
A formal AI governance strategy or institutional framework has been defined.
POLICY OVERVIEW

AI Policy Summary

University of Texas at Dallas has defined AI policies across 12 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.

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Teaching & Learning

U1Coursework & Assignments
AI ProhibitedViolations Enforced
  • AI use in coursework and other academic work is primarily at instructor discretion
  • If AI use is prohibited by the faculty member, using it is treated as an unauthorized act and a violation of the Student Code of Conduct
  • Faculty may permit, prohibit, or partially allow generative AI, and they are expected to communicate the permitted/partial/prohibited uses in assignment descriptions and course syllabi before academic work begins

This policy provides a framework for the use of generative AI in academic work (including, but not limited to, coursework, independent research, dissertations, and theses) while upholding the principles of academic and personal honesty and integrity. Faculty have the freedom and responsibility to determine how generative AI can be used in academic work under faculty supervision.

Faculty have the discretion to permit, prohibit, or partially allow the use of generative AI. Faculty must explain and communicate appropriate generative AI use to the student before academic work begins for a given semester.

Permitted, partially permitted, and prohibited generative AI use should be communicated, and faculty should include detailed statements in assignment descriptions and course syllabi.

When the faculty member prohibits use of specific generative AI tools, use is unauthorized and thus is a violation of UTDSP5003.

U2Examinations & Assessments
AI Prohibited in ExamsIntegrity Code Applies
  • If an instructor prohibits AI tools for an assessment, use would be unauthorized and treated as a Student Code of Conduct violation
  • The university-level generative AI academic work policy does not specifically define rules for AI use during exams/quizzes/tests, and instead frames AI use decisions as faculty discretion communicated in course materials

Faculty have the discretion to permit, prohibit, or partially allow the use of generative AI. Faculty must explain and communicate appropriate generative AI use to the student before academic work begins for a given semester.

Permitted, partially permitted, and prohibited generative AI use should be communicated, and faculty should include detailed statements in assignment descriptions and course syllabi.

When the faculty member prohibits use of specific generative AI tools, use is unauthorized and thus is a violation of UTDSP5003.

U3Learning & Study Assistance
AI Restricted
  • The generative AI academic work policy explicitly includes “studying” among activities that may be prohibited at instructor discretion
  • When prohibited by the faculty member, students are expected to present work without using generative AI (including for studying), and using prohibited tools is unauthorized and considered a violation of the Student Code of Conduct

When the faculty member prohibits use of specific generative AI tools, use is unauthorized and thus is a violation of UTDSP5003. Students should present their work without the use of generative AI, including but not limited to use for ideating, outlining, writing, or studying, and creating text, tables, code, analysis, video, or images.

Faculty have the discretion to permit, prohibit, or partially allow the use of generative AI.

U4Code Generation & Programming
AI Code RestrictedAttribution Required
  • Overall, permissibility is at instructor discretion, and prohibited use is treated as unauthorized and a Student Code of Conduct violation
  • The generative AI academic work policy does not define separate programming-specific rules, but it explicitly includes “code” among the types of content that may not be created with generative AI when an instructor prohibits it

Faculty have the discretion to permit, prohibit, or partially allow the use of generative AI.

When the faculty member prohibits use of specific generative AI tools, use is unauthorized and thus is a violation of UTDSP5003. Students should present their work without the use of generative AI, including but not limited to use for ideating, outlining, writing, or studying, and creating text, tables, code, analysis, video, or images.

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Research

U5Research Writing & Manuscript Preparation
AI Writing Permitted
  • Generative AI use in research writing contexts covered by the academic work policy (including independent research, dissertations, and theses) is governed by faculty discretion (permitted, prohibited, or partially allowed)
  • When AI use is permitted, students are expected to document and attribute AI use in an appropriate style or a professional style specified by the faculty member, follow written citation guidelines, and validate/verify AI output

This policy provides a framework for the use of generative AI in academic work (including, but not limited to, coursework, independent research, dissertations, and theses) while upholding the principles of academic and personal honesty and integrity. Faculty have the freedom and responsibility to determine how generative AI can be used in academic work under faculty supervision.

When the faculty member permits generative AI use, students are expected to use generative AI ethically and responsibly. Students should document and attribute the use of generative AI as appropriate to the academic style (APA, MLA, Chicago, etc.) or a professional style specified by the faculty member. Students must follow written guidelines from faculty on citation styles. Students must validate or verify the output from generative AI.

U6Research Data & Analysis
AI Analysis Restricted
  • It also indicates that when AI is prohibited by a faculty member, students are expected to present work without generative AI use, including for creating “analysis.”
  • The academic work policy does not provide detailed research-data governance for AI, but it states that AI use must adhere to information security and FERPA and that misuse jeopardizing protected university or student data may result in disciplinary action

All students, faculty, and staff are expected to adhere to university policies on Information Security and Acceptable Use and the Family Educational Rights and Privacy Act (FERPA) when using generative AI. Any misuse of generative AI that results in academic dishonesty or jeopardizes the security of protected university or student data will be subject to disciplinary action as outlined in the Student Code of Conduct and other applicable university rules.

Students should present their work without the use of generative AI, including but not limited to use for ideating, outlining, writing, or studying, and creating text, tables, code, analysis, video, or images.

U7Research Ethics & Integrity
Ethics Framework Active
  • It also states that misuse leading to academic dishonesty or jeopardizing protected data is subject to disciplinary action under the Student Code of Conduct and other rules
  • The policy establishes that all students, faculty, and staff are expected to adhere to UT Dallas principles of academic integrity when using generative AI, and it prohibits using generative AI for illegal or fraudulent activity, violations of law, or conflicts with UT Dallas/UT System policies

All students, faculty, and staff are expected to adhere to UT Dallas principles of academic integrity. Generative AI tools may not be used for any activity that would be considered illegal or fraudulent, that violates state or federal law, or conflicts with other UT Dallas or UT System policies.

Any misuse of generative AI that results in academic dishonesty or jeopardizes the security of protected university or student data will be subject to disciplinary action as outlined in the Student Code of Conduct and other applicable university rules.

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Academic Integrity

U8Disclosure & Attribution Requirements
Citation Required
  • The policy also states that students must validate or verify AI output
  • When generative AI use is permitted (or partially permitted), students are expected to document and attribute their AI use in an appropriate academic or professional style as specified by the faculty member, and they must follow written faculty guidelines on citation styles

Students should document and attribute the use of generative AI as appropriate to the academic style (APA, MLA, Chicago, etc.) or a professional style specified by the faculty member. Students must follow written guidelines from faculty on citation styles.

Students must validate or verify the output from generative AI.

When generative AI use is allowed for some but not all academic work, students are expected to follow written guidelines provided by the faculty member. Students should document and attribute the use of generative AI as appropriate to the academic style (APA, MLA, Chicago, etc.).

U9Detection & Enforcement
Detection Tools UsedPenalties Defined
  • The provided sources do not define any specific AI detection tools or detection procedures
  • The generative AI academic work policy states that unauthorized AI use (when prohibited by the faculty member) is a violation of the Student Code of Conduct
  • It also states that misuse resulting in academic dishonesty or jeopardizing protected data will be subject to disciplinary action as outlined in the Student Code of Conduct and other applicable university rules

When the faculty member prohibits use of specific generative AI tools, use is unauthorized and thus is a violation of UTDSP5003.

Any misuse of generative AI that results in academic dishonesty or jeopardizes the security of protected university or student data will be subject to disciplinary action as outlined in the Student Code of Conduct and other applicable university rules.

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Institutional & Administrative

U10Faculty & Staff Use
Staff Guidelines
  • The provided sources do not define specific rules for instructors using AI for grading, feedback, or other instructional/administrative tasks
  • The policy also states that all faculty and staff are expected to adhere to academic integrity principles and information security/FERPA requirements when using generative AI
  • Faculty are assigned responsibility and discretion to determine how generative AI can be used in academic work under faculty supervision, including communicating appropriate AI use to students before academic work begins and providing usage details (including citation style) when AI is permitted or partially allowed

Faculty have the freedom and responsibility to determine how generative AI can be used in academic work under faculty supervision.

Faculty have the discretion to permit, prohibit, or partially allow the use of generative AI. Faculty must explain and communicate appropriate generative AI use to the student before academic work begins for a given semester. When permitting or making a partial allowance, the faculty member should provide usage details, including the citation style.

All students, faculty, and staff are expected to adhere to UT Dallas principles of academic integrity.

All students, faculty, and staff are expected to adhere to university policies on Information Security and Acceptable Use and the Family Educational Rights and Privacy Act (FERPA) when using generative AI.

U11Institutional Data Protection & Approved AI Platforms
Data Protection Active
  • An OIT announcement states that Microsoft Copilot is available at no additional charge to all students, faculty, and staff
  • OIT guidance states that OIT has procured generative AI tools with appropriate privacy and security protections and instructs users to connect with OIT before procuring generative AI tools
  • The generative AI academic work policy requires adherence to university information security and acceptable use policies and FERPA when using generative AI, and notes that misuse jeopardizing protected university or student data may result in disciplinary action

All students, faculty, and staff are expected to adhere to university policies on Information Security and Acceptable Use and the Family Educational Rights and Privacy Act (FERPA) when using generative AI.

Any misuse of generative AI that results in academic dishonesty or jeopardizes the security of protected university or student data will be subject to disciplinary action as outlined in the Student Code of Conduct and other applicable university rules.

OIT has procured tools on behalf of UT Dallas that have the appropriate privacy and security protections and provide the best use of university funds.

We are thrilled to announce that Microsoft Copilot is now available at no additional charge to all students, faculty, and staff at UT Dallas.

U12University AI Governance & Strategy
AI Strategy Defined
  • UT Dallas describes generative AI as a transformative force across education, research, and university operations and presents a centralized site as a hub for UTD’s GenAI strategy, resources, and policy updates
  • The generative AI academic work policy establishes a university framework for using generative AI in academic work while upholding academic and personal honesty and integrity and indicates alignment with promoting ethical decision-making, integrity, creativity, and innovation

At The University of Texas at Dallas (UTD), Generative AI is a transformative force reshaping education, research and University operations. UTD is leading the way in responsible, secure and innovative AI adoption across every college and division.

This site is your centralized hub for exploring UTD’s GenAI strategy, resources, academic programs, research breakthroughs and policy updates.

This policy provides a framework for the use of generative AI in academic work (including, but not limited to, coursework, independent research, dissertations, and theses) while upholding the principles of academic and personal honesty and integrity.

The policy seeks to be consistent with university goals to promote a learning environment that encourages ethical decision-making, academic and personal integrity, creativity, and 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.

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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