Release diff
Texas A&M University
Unified tracker diff for public-release-20260523-001. Full source-page text is not published; short original-language evidence snippets are shown for citation context.
Unified diff
Release-to-release tracker changes generated from public release snapshots.
Texas A&M University public-release-20260523-001 diff
Initial tracked release.
+39-0
11 # Texas A&M University AI policy diff
22 ## Newly extracted tracker claim
33 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
4+source_status: Texas A&M publishes official recommendations and guidance for responsible generative AI use at the university, scoped to benefits and risks including academic integrity, privacy, and ethical use considerations.
5+Evidence (en, 1aa1756d1551): The purpose of this page is to provide recommendations and guidance on the responsible use of generative AI at Texas A&M University, ensuring its potential benefits are maximized while minimizing risks to academic integrity, privacy and other ethical use considerations.
6+Tracker checked at: 2026-05-14T14:23:18Z
47 ## Newly extracted tracker claim
58 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
9+privacy: Texas A&M guidance says everyone must follow data privacy and security guidelines when using generative AI to protect personal and institutional data.
10+Evidence (en, 1aa1756d1551): Everyone must follow data privacy and security guidelines when using generative AI, protecting personal and institutional data.
11+Tracker checked at: 2026-05-14T14:23:18Z
612 ## Newly extracted tracker claim
713 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
14+academic_integrity: Texas A&M guidance says generative AI users must acknowledge nontrivial AI-generated content and avoid plagiarism, while faculty should provide clear course instructions about permissible AI uses.
15+Evidence (en, 1aa1756d1551): 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. The faculty should provide clear instructions about permissible AI uses in their courses.
16+Tracker checked at: 2026-05-14T14:23:18Z
817 ## Newly extracted tracker claim
918 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
19+ai_tool_treatment: Texas A&M presents AI Use Categories as a starting point for student-instructor conversation, not as a one-size-fits-all policy or replacement for instructor judgment.
20+Evidence (en, 7d247ab887ab): The AI Use Categories give students and instructors a starting point for conversation about AI usage in a course. While these categories are not a one-size-fits-all policy, nor are they meant to replace instructor judgment, they offer a shared way to think about different types of AI use.
21+Tracker checked at: 2026-05-14T14:23:18Z
1022 ## Newly extracted tracker claim
1123 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
24+academic_integrity: Texas A&M strongly advises against sole reliance on AI detection tools because of limitations including inaccuracy, bias, ease of circumvention, and rapid AI evolution.
25+Evidence (en, cea24075ac33): Although AI detection tools are available, the university strongly advises against sole reliance on these tools due to the following limitations: Inaccuracy, Bias, Ease of Circumvention, Rapid Evolution of AI.
26+Tracker checked at: 2026-05-14T14:23:18Z
1227 ## Newly extracted tracker claim
1328 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
29+ai_tool_treatment: Texas A&M Technology Services describes TAMU AI Chat as a secure, university-approved platform open to all students and employees, with support for content classified as University-Confidential or lower.
30+Evidence (en, 37cc9cd7dee6): Open to all Texas A&M students and employees, TAMU AI Chat (currently in BETA) provides staff, faculty, researchers, and students with a secure, university-approved platform to access multiple AI tools like OpenAI's GPT, Anthropic's Claude Sonnet, and Google's Gemini. TAMU AI Chat supports content classified as University-Confidential or lower.
31+Tracker checked at: 2026-05-14T14:23:18Z
1432 ## Newly extracted tracker claim
1533 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
34+privacy: Texas A&M Technology Services says Google and Microsoft AI tools are approved for University-Confidential-or-lower data, but should not be used with export-controlled data, government ID numbers, or financial records.
35+Evidence (en, 37cc9cd7dee6): 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.
36+Tracker checked at: 2026-05-14T14:23:18Z
1637 ## Newly extracted tracker claim
1738 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
39+research: Texas A&M Division of Research says its Best Practices for Generative AI in Research document should serve as a researcher resource and framework for colleges or schools to develop specific action plans.
40+Evidence (en, 5b58a473566d): This document should serve as a resource for researchers and provide a framework for each college or school to develop detailed and specific action plans tailored to their unique and specialized needs.
41+Tracker checked at: 2026-05-14T14:23:18Z
1842 ## Newly extracted tracker claim
1943 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
44+teaching: Texas A&M CTE syllabus guidance recommends a hybrid approach that establishes clear course or assignment expectations for generative AI use, reinforces that AI use in coursework is governed by the Aggie Honor Code, and provides faculty support guidance.
45+Evidence (en, e9c820cb0e1f): 3. (Recommended) Pursue a hybrid of the two previous options, including both of the following: a. An addition to the minimum syllabus requirements, which both i. makes explicit the responsibility of instructors and students to establish clear expectations for generative AI use within each course and/or assignment and ii. reinforces that the use of generative AI in academic coursework is integrally related to academic integrity and will be governed by the Aggie Honor Code. b. Guidance provided to support faculty in making their individual determinations.
46+Tracker checked at: 2026-05-14T14:23:18Z
2047 ## Source attribution added
2148 An official source attribution was added to the tracker record.
49+Source https://ai.tamu.edu/_files/_documents/tamu-cte-genai-syllabus-statement-considerations.pdf snapshot e9c820cb0e1f625b4ac83dc2e30216df1b1a79cc05066c2947e362d1873ce3fd
50+Tracker checked at: 2026-05-14T14:23:18Z
2251 ## Source attribution added
2352 An official source attribution was added to the tracker record.
53+Source https://ai.tamu.edu/learn-with-ai/index.html snapshot 7d247ab887ab3f93c8f81720fecc07ae6c0adec455bc9c6ff831e56fec1d2ff9
54+Tracker checked at: 2026-05-14T14:23:18Z
2455 ## Source attribution added
2556 An official source attribution was added to the tracker record.
57+Source https://ai.tamu.edu/teach-with-ai/detection.html snapshot cea24075ac33f0bdcb9e44ad891eac740d09b438405f366b1b9232ba4c8f1a3c
58+Tracker checked at: 2026-05-14T14:23:18Z
2659 ## Source attribution added
2760 An official source attribution was added to the tracker record.
61+Source https://ai.tamu.edu/teach-with-ai/use-guidelines-and-ethics.html snapshot 1aa1756d15511988288802bb3dfa4b5beb0905a7b716fd9324a6204e82622842
62+Tracker checked at: 2026-05-14T14:23:18Z
2863 ## Source attribution added
2964 An official source attribution was added to the tracker record.
65+Source https://research.tamu.edu/memos/best-practices-for-generative-ai-in-research/ snapshot 5b58a473566df2ffc4bf7319ea8bcd4fc1c0e90be98a44fdd444dfcc3a4d069e
66+Tracker checked at: 2026-05-14T14:23:18Z
3067 ## Source attribution added
3168 An official source attribution was added to the tracker record.
69+Source https://www.it.tamu.edu/ai-services/index.html snapshot 37cc9cd7dee681aa5d52915d06b92b8b546f2d9ad83464111b4c92462e38aea3
70+Tracker checked at: 2026-05-14T14:23:18Z
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Newly extracted claims are tracker additions and are not necessarily newly published by the university. Source snapshot changes mean the same URL produced a different hash; that may be policy text, layout, navigation, or metadata.
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This tracker is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.