Texas A&M University AI Policy

TexasPublicLast Updated: February 2026

Academic IntegrityInstitutional & AdministrativeResearchTeaching & Learning
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Policy Coverage
100%12 of 12
Varies by Course
Coursework
AI use in coursework is determined at the instructor level. Each course may have different rules about AI tools.
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

Texas A&M University has defined AI policies across 12 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, Teaching & Learning. AI use in coursework is addressed on a case-by-case basis, with policies set at the instructor level. 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
Instructor DiscretionAttribution Required
  • The university states that, when using generative AI, users must acknowledge nontrivial AI-generated content and avoid plagiarism, including properly citing AI-generated content
  • It states that AI may be used for correcting spelling/grammar and formatting references, but not for generating new text, and that faculty should provide course-specific instructions on permissible AI uses

When using generative AI, users must acknowledge the use of nontrivial AI-generated content and avoid plagiarism. This includes properly citing AI-generated content in academic work and ensuring that AI-generated content does not violate academic integrity policies. It is permissible to use AI for correcting spelling and grammar and for formatting references, but not for generating new text. The faculty should provide clear instructions about permissible AI uses in their courses.

U2Examinations & Assessments
AI Prohibited in Exams
  • The university's Center for Teaching Excellence provides template syllabus statements for faculty, which include options to explicitly prohibit the use of unauthorized generative AI on any exam or quiz, framing such use as a violation of the Aggie Honor Code

The use of unauthorized aid, including generative AI tools, on any exam or quiz is a violation of the Aggie Honor Code. This includes, but is not limited to, using AI to generate answers, provide assistance during an exam, or otherwise gain an unfair advantage.

U3Learning & Study Assistance
AI Encouraged for Study
  • The university promotes student use of TAMU AI Chat to support exam preparation and organization before finals
  • It characterizes TAMU AI Chat as providing access to multiple AI tools to help students make the most of their time

Get better organized and prepared before finals with TAMU AI Chat! TAMU AI Chat provides convenient access to protected versions of multiple, powerful artificial intelligence (AI) tools in one platform, to make the most of your time.

U4Code Generation & Programming
AI Coding AllowedAttribution Required
  • The Center for Teaching Excellence provides syllabus statement templates that faculty can use to set course-level policies on AI for coding
  • One such template allows students to use generative AI for brainstorming and debugging code, but requires that the submitted code be written by the student and that any AI assistance be cited and explained

Students may use generative AI tools to help them brainstorm ideas and debug code, but they should not submit code that was not written by them. Students who use generative AI tools to help them with their assignments should cite the tool and explain how they used it.

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Research

U5Research Writing & Manuscript Preparation
AI Writing RestrictedDisclosure Required
  • Separately, the Graduate and Professional School states it is not setting policies or restrictions on AI use for theses/dissertations and refers graduate students to VPR and CTE guidance
  • For student scholarly work (including theses/dissertations as part of research/academic endeavors), the university (via research best-practices guidance) indicates that citation and disclosure of generative AI tool usage should be included in scholarly work according to disciplinary norms

Proper citation and disclosure of generative AI tool usage should be included in the scholarly work, in accordance with disciplinary-appropriate norms.

As we do not want to discourage the use of AI in research or academic endeavors, The Graduate and Professional School is not setting policies or restrictions on its use.

U6Research Data & Analysis
AI Analysis Restricted
  • The university positions TAMU AI Chat as enabling users (including researchers) to analyze data as part of productivity-enhancing activities
  • It also specifies that certain categories of data are restricted from use in TAMU AI Chat, including export- and IRB-controlled data and certain sensitive identifiers/records

This platform enables users to efficiently complete tasks, brainstorm ideas, analyze data, and engage in various other productivity-enhancing activities.

Not Allowed: Export and IRB controlled data, Government ID Numbers, Personal Health and Financial records, Sensitive Personal Information

U7Research Ethics & Integrity
AI Not an AuthorEthics Framework Active
  • The university frames AI use in research as subject to responsible and ethical research practices, emphasizing transparency and accountability
  • Its research best-practices guidance for students warns that unauthorized use of generative AI for scholarly work may violate honor system rules and/or university ethics rules and may lead to consequences under Student Rule 20 and/or research misconduct policies, and it recommends documenting planned uses and obtaining written approval before utilizing generative AI tools

Guided by the Texas A&M’s Core Values, we strive to ensure transparency and accountability in the application of generative AI.

Document planned uses and obtain written approval from supervisors and supervisory committees before utilizing generative AI tools.

Unauthorized use of generative AI for scholarly work may be a violation of Aggie Honor System Rules and/or University Rule 15.99.03.M1 – Ethics in Research, Scholarship, and Creative Work and therefore, lead to consequences under Student Rule 20 and/or Research Misconduct Policies.

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Academic Integrity

U8Disclosure & Attribution Requirements
Disclosure MandatoryCitation Required
  • For staff work, it advises disclosure when generative AI is used for tasks that can impact decisions or have ethical/legal implications
  • In research best-practices guidance, it further states that proper citation and disclosure of generative AI tool usage should be included in scholarly work
  • The university states that users must acknowledge nontrivial AI-generated content and properly cite AI-generated content in academic work to avoid plagiarism and uphold academic integrity

When using generative AI, users must acknowledge the use of nontrivial AI-generated content and avoid plagiarism. This includes properly citing AI-generated content in academic work and ensuring that AI-generated content does not violate academic integrity policies.

Proper citation and disclosure of generative AI tool usage should be included in the scholarly work, in accordance with disciplinary-appropriate norms.

Staff should disclose the use of generative AI when it is used for tasks that can impact decisions or have ethical or legal implications. However, disclosure is not necessary for minor tasks or when significant edits are made to the AI-generated output.

U9Detection & Enforcement
Detection Tools UsedPenalties Defined
  • The university states it strongly advises against relying solely on AI detection tools
  • It also states that unauthorized use of generative AI for scholarly work may violate honor system rules and/or university ethics in research rules and may lead to consequences under Student Rule 20 and/or research misconduct policies

Although AI detection tools are available, the university strongly advises against sole reliance on these tools due to the following limitations:

Unauthorized use of generative AI for scholarly work may be a violation of Aggie Honor System Rules and/or University Rule 15.99.03.M1 – Ethics in Research, Scholarship, and Creative Work and therefore, lead to consequences under Student Rule 20 and/or Research Misconduct Policies.

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Institutional & Administrative

U10Faculty & Staff Use
Faculty Policy Defined
  • The university states that generative AI can help faculty with teaching tasks such as summarizing complex information, providing instant feedback to students, and translating documents/lessons
  • It also states that staff should disclose generative AI use when it is used for tasks that can impact decisions or have ethical or legal implications, with disclosure not necessary for minor tasks or when significant edits are made

Generative AI can help faculty save time by automating repetitive tasks, summarizing complex information, providing instant feedback to students, and improving accessibility by translating documents and lessons into different languages.

Staff should disclose the use of generative AI when it is used for tasks that can impact decisions or have ethical or legal implications. However, disclosure is not necessary for minor tasks or when significant edits are made to the AI-generated output.

U11Institutional Data Protection & Approved AI Platforms
Approved Tools ListedData Protection ActiveUnapproved AI Blocked
  • It also states that Google and Microsoft tools are approved for data classified as University-Confidential or lower and should not be used with export-controlled data, government ID numbers, or financial records
  • The university describes TAMU AI Chat as a secure, university-approved platform and specifies data security compliance and restrictions, including allowed data classification and prohibited categories (e.g., export- and IRB-controlled data and certain sensitive identifiers/records)

TAMU AI Chat (currently in BETA) provides staff, faculty, researchers, and students with a secure, university-approved platform to access multiple artificial intelligence (AI) tools like OpenAI’s GPT, Anthropic’s Claude Sonnet, and Google’s Gemini.

Allowed Data: University-Confidential

Not Allowed: Export and IRB controlled data, Government ID Numbers, Personal Health and Financial records, Sensitive Personal Information

Google and Microsoft tools are approved for data classified as University-Confidential or lower, and should not be used with export-controlled data, government ID numbers, or financial records.

U12University AI Governance & Strategy
Governance Body Active
  • The university states that transparency is critically important in the development and application of generative AI systems and includes documenting AI use, attributing AI-assisted contributions, and aligning implementations with university policies and ethical standards
  • In research best-practices guidance, it calls for governance and oversight processes for AI to establish a unified university-wide approach and for establishing campus-level councils with faculty, staff, and student representatives for AI procurement, development, implementation, and monitoring

As a leading R1 institution, we recognize the critical importance of transparency in the development and application of generative AI systems. This includes clearly documenting the use of AI-generated content, properly attributing AI-assisted contributions in research and academic work, ensuring that the implementation of such tools aligns with the University’s policies and broader ethical standards.

Implement dedicated governance and oversight processes for AI to establish a unified approach university-wide.

Establish campus-level councils of faculty, staff, and student representatives to ensure appropriate AI procurement, development, implementation, and monitoring.

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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