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.
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.
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.
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.
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.
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.
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.
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.
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.).
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.
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.
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.
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.
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.
University of Texas at Dallas has defined AI policies in 12 of 12 categories, with an overall coverage score of 100%.
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. The policy also states that students must validate or verify AI output.
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. The provided sources do not define any specific AI detection tools or detection procedures.
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. 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. An OIT announcement states that Microsoft Copilot is available at no additional charge to all students, faculty, and staff.
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