{"apiVersion":"v1","generatedAt":"2026-05-15T14:35:19.549Z","canonicalUrl":"https://eduaipolicy.org/universities/texas-a-and-m-university","license":"CC-BY-4.0","trackerMetadataLicense":"CC-BY-4.0","sourcePolicy":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms.","sourceRightsPolicy":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms.","limitations":["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."],"citation":{"citationTitle":"Texas A&M University AI Policy Tracker record","canonicalUrl":"https://eduaipolicy.org/universities/texas-a-and-m-university","publicJsonUrl":"https://eduaipolicy.org/api/public/v1/universities/texas-a-and-m-university.json","suggestedCitation":"University AI Policy Tracker. \"Texas A&M University AI Policy Tracker record.\" Last checked May 14, 2026. https://eduaipolicy.org/universities/texas-a-and-m-university","sourceRightsPolicy":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms."},"data":{"schemaVersion":"v1","citationTitle":"Texas A&M University AI Policy Tracker record","canonicalUrl":"https://eduaipolicy.org/universities/texas-a-and-m-university","publicPageUrl":"https://eduaipolicy.org/universities/texas-a-and-m-university","apiUrl":"https://eduaipolicy.org/api/public/v1/universities/texas-a-and-m-university.json","entityType":"university","entitySlug":"texas-a-and-m-university","entity":{"type":"university","slug":"texas-a-and-m-university","name":"Texas A&M University","canonicalUrl":"https://eduaipolicy.org/universities/texas-a-and-m-university","aliases":["QS 2026 144"],"summary":"Texas A&M University is listed as QS 2026 rank 144. Texas A&M University has 9 source-backed AI policy claim records from 6 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state."},"summary":"Texas A&M University is listed as QS 2026 rank 144. Texas A&M University has 9 source-backed AI policy claim records from 6 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.","lastCheckedAt":"2026-05-14T14:23:18Z","lastChangedAt":"2026-05-14T14:23:18Z","confidence":0.96,"reviewState":"agent_reviewed","license":"CC-BY-4.0","trackerMetadataLicense":"CC-BY-4.0","sourcePolicy":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms.","sourceRightsPolicy":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms.","limitations":["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."],"officialSources":[{"id":"sc-tamu-detection","sourceUrl":"https://ai.tamu.edu/teach-with-ai/detection.html","finalUrl":"https://ai.tamu.edu/teach-with-ai/detection.html","citationTitle":"AI Detection Tools | Artificial Intelligence","publisher":"ai.tamu.edu","retrievedAt":"2026-05-14T14:23:18Z","snapshotHash":"cea24075ac33f0bdcb9e44ad891eac740d09b438405f366b1b9232ba4c8f1a3c","sourceType":"official_guidance","official":true,"sourceRights":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms."},{"id":"sc-tamu-ai-services","sourceUrl":"https://www.it.tamu.edu/ai-services/index.html","finalUrl":"https://www.it.tamu.edu/ai-services/index.html","citationTitle":"AI Services | Technology Services","publisher":"it.tamu.edu","retrievedAt":"2026-05-14T14:23:18Z","snapshotHash":"37cc9cd7dee681aa5d52915d06b92b8b546f2d9ad83464111b4c92462e38aea3","sourceType":"official_guidance","official":true,"sourceRights":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms."},{"id":"sc-tamu-research-memo","sourceUrl":"https://research.tamu.edu/memos/best-practices-for-generative-ai-in-research/","finalUrl":"https://research.tamu.edu/memos/best-practices-for-generative-ai-in-research/","citationTitle":"Best Practices for Generative AI in Research","publisher":"research.tamu.edu","retrievedAt":"2026-05-14T14:23:18Z","snapshotHash":"5b58a473566df2ffc4bf7319ea8bcd4fc1c0e90be98a44fdd444dfcc3a4d069e","sourceType":"official_guidance","official":true,"sourceRights":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms."},{"id":"sc-tamu-syllabus-pdf","sourceUrl":"https://ai.tamu.edu/_files/_documents/tamu-cte-genai-syllabus-statement-considerations.pdf","finalUrl":"https://ai.tamu.edu/_files/_documents/tamu-cte-genai-syllabus-statement-considerations.pdf","citationTitle":"Generative AI Syllabus Statement Considerations","publisher":"ai.tamu.edu","retrievedAt":"2026-05-14T14:23:18Z","snapshotHash":"e9c820cb0e1f625b4ac83dc2e30216df1b1a79cc05066c2947e362d1873ce3fd","sourceType":"official_pdf","official":true,"sourceRights":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms."},{"id":"sc-tamu-learn-ai","sourceUrl":"https://ai.tamu.edu/learn-with-ai/index.html","finalUrl":"https://ai.tamu.edu/learn-with-ai/index.html","citationTitle":"Learn With AI | Artificial Intelligence","publisher":"ai.tamu.edu","retrievedAt":"2026-05-14T14:23:18Z","snapshotHash":"7d247ab887ab3f93c8f81720fecc07ae6c0adec455bc9c6ff831e56fec1d2ff9","sourceType":"official_guidance","official":true,"sourceRights":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms."},{"id":"sc-tamu-guidelines-ethics","sourceUrl":"https://ai.tamu.edu/teach-with-ai/use-guidelines-and-ethics.html","finalUrl":"https://ai.tamu.edu/teach-with-ai/use-guidelines-and-ethics.html","citationTitle":"Use Guidelines and Ethics | Artificial Intelligence","publisher":"ai.tamu.edu","retrievedAt":"2026-05-14T14:23:18Z","snapshotHash":"1aa1756d15511988288802bb3dfa4b5beb0905a7b716fd9324a6204e82622842","sourceType":"official_guidance","official":true,"sourceRights":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms."}],"claims":[{"id":"claim-tamu-002","entitySlug":"texas-a-and-m-university","entityType":"university","claimType":"privacy","claimText":"Texas A&M guidance says everyone must follow data privacy and security guidelines when using generative AI to protect personal and institutional data.","claimValue":"AI users must follow data privacy and security guidance","confidence":0.96,"reviewState":"agent_reviewed","lastCheckedAt":"2026-05-14T14:23:18Z","lastChangedAt":"2026-05-14T14:23:18Z","evidence":[{"id":"ev-tamu-002","sourceUrl":"https://ai.tamu.edu/teach-with-ai/use-guidelines-and-ethics.html","sourceLanguage":"en","sourceSnapshotHash":"1aa1756d15511988288802bb3dfa4b5beb0905a7b716fd9324a6204e82622842","evidenceSnippet":"Everyone must follow data privacy and security guidelines when using generative AI, protecting personal and institutional data.","evidenceSnippetDisplay":"The source uses mandatory language for data privacy and security guidance.","snippetLocation":"Data Privacy and Security section","retrievedAt":"2026-05-14T14:23:18Z","attribution":{"id":"ss-tamu-guidelines-ethics","sourceUrl":"https://ai.tamu.edu/teach-with-ai/use-guidelines-and-ethics.html","finalUrl":"https://ai.tamu.edu/teach-with-ai/use-guidelines-and-ethics.html","citationTitle":"Use Guidelines and Ethics | Artificial Intelligence","publisher":"Texas A&M University Artificial Intelligence","retrievedAt":"2026-05-14T14:23:18Z","snapshotHash":"1aa1756d15511988288802bb3dfa4b5beb0905a7b716fd9324a6204e82622842","sourceType":"official_policy_page","official":true,"sourceRights":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms."}}]},{"id":"claim-tamu-001","entitySlug":"texas-a-and-m-university","entityType":"university","claimType":"source_status","claimText":"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.","claimValue":"Responsible AI guidance page exists","confidence":0.95,"reviewState":"agent_reviewed","lastCheckedAt":"2026-05-14T14:23:18Z","lastChangedAt":"2026-05-14T14:23:18Z","evidence":[{"id":"ev-tamu-001","sourceUrl":"https://ai.tamu.edu/teach-with-ai/use-guidelines-and-ethics.html","sourceLanguage":"en","sourceSnapshotHash":"1aa1756d15511988288802bb3dfa4b5beb0905a7b716fd9324a6204e82622842","evidenceSnippet":"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.","evidenceSnippetDisplay":"Texas A&M frames this page as responsible-use guidance, not as a standalone formal policy.","snippetLocation":"Purpose section","retrievedAt":"2026-05-14T14:23:18Z","attribution":{"id":"ss-tamu-guidelines-ethics","sourceUrl":"https://ai.tamu.edu/teach-with-ai/use-guidelines-and-ethics.html","finalUrl":"https://ai.tamu.edu/teach-with-ai/use-guidelines-and-ethics.html","citationTitle":"Use Guidelines and Ethics | Artificial Intelligence","publisher":"Texas A&M University Artificial Intelligence","retrievedAt":"2026-05-14T14:23:18Z","snapshotHash":"1aa1756d15511988288802bb3dfa4b5beb0905a7b716fd9324a6204e82622842","sourceType":"official_policy_page","official":true,"sourceRights":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms."}}]},{"id":"claim-tamu-005","entitySlug":"texas-a-and-m-university","entityType":"university","claimType":"academic_integrity","claimText":"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.","claimValue":"Caution against sole reliance on AI detection tools","confidence":0.95,"reviewState":"agent_reviewed","lastCheckedAt":"2026-05-14T14:23:18Z","lastChangedAt":"2026-05-14T14:23:18Z","evidence":[{"id":"ev-tamu-005","sourceUrl":"https://ai.tamu.edu/teach-with-ai/detection.html","sourceLanguage":"en","sourceSnapshotHash":"cea24075ac33f0bdcb9e44ad891eac740d09b438405f366b1b9232ba4c8f1a3c","evidenceSnippet":"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.","evidenceSnippetDisplay":"The page recommends caution and a broader integrity approach rather than sole detector use.","snippetLocation":"Challenges with AI Detection Tools section","retrievedAt":"2026-05-14T14:23:18Z","attribution":{"id":"ss-tamu-detection","sourceUrl":"https://ai.tamu.edu/teach-with-ai/detection.html","finalUrl":"https://ai.tamu.edu/teach-with-ai/detection.html","citationTitle":"AI Detection Tools | Artificial Intelligence","publisher":"Texas A&M University Artificial Intelligence","retrievedAt":"2026-05-14T14:23:18Z","snapshotHash":"cea24075ac33f0bdcb9e44ad891eac740d09b438405f366b1b9232ba4c8f1a3c","sourceType":"official_policy_page","official":true,"sourceRights":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms."}}]},{"id":"claim-tamu-006","entitySlug":"texas-a-and-m-university","entityType":"university","claimType":"ai_tool_treatment","claimText":"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.","claimValue":"TAMU AI Chat approved for students and employees with University-Confidential-or-lower support","confidence":0.95,"reviewState":"agent_reviewed","lastCheckedAt":"2026-05-14T14:23:18Z","lastChangedAt":"2026-05-14T14:23:18Z","evidence":[{"id":"ev-tamu-006","sourceUrl":"https://www.it.tamu.edu/ai-services/index.html","sourceLanguage":"en","sourceSnapshotHash":"37cc9cd7dee681aa5d52915d06b92b8b546f2d9ad83464111b4c92462e38aea3","evidenceSnippet":"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.","evidenceSnippetDisplay":"The service page names TAMU AI Chat as university-approved and gives the supported data classification.","snippetLocation":"TAMU AI Chat section","retrievedAt":"2026-05-14T14:23:18Z","attribution":{"id":"ss-tamu-ai-services","sourceUrl":"https://www.it.tamu.edu/ai-services/index.html","finalUrl":"https://www.it.tamu.edu/ai-services/index.html","citationTitle":"AI Services | Technology Services","publisher":"Technology Services, Texas A&M University","retrievedAt":"2026-05-14T14:23:18Z","snapshotHash":"37cc9cd7dee681aa5d52915d06b92b8b546f2d9ad83464111b4c92462e38aea3","sourceType":"official_policy_page","official":true,"sourceRights":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms."}}]},{"id":"claim-tamu-007","entitySlug":"texas-a-and-m-university","entityType":"university","claimType":"privacy","claimText":"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.","claimValue":"Google and Microsoft AI tools have data restrictions","confidence":0.95,"reviewState":"agent_reviewed","lastCheckedAt":"2026-05-14T14:23:18Z","lastChangedAt":"2026-05-14T14:23:18Z","evidence":[{"id":"ev-tamu-007","sourceUrl":"https://www.it.tamu.edu/ai-services/index.html","sourceLanguage":"en","sourceSnapshotHash":"37cc9cd7dee681aa5d52915d06b92b8b546f2d9ad83464111b4c92462e38aea3","evidenceSnippet":"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.","evidenceSnippetDisplay":"The page allows these tools for a stated data classification and excludes specific sensitive categories.","snippetLocation":"Free AI Tools section","retrievedAt":"2026-05-14T14:23:18Z","attribution":{"id":"ss-tamu-ai-services","sourceUrl":"https://www.it.tamu.edu/ai-services/index.html","finalUrl":"https://www.it.tamu.edu/ai-services/index.html","citationTitle":"AI Services | Technology Services","publisher":"Technology Services, Texas A&M University","retrievedAt":"2026-05-14T14:23:18Z","snapshotHash":"37cc9cd7dee681aa5d52915d06b92b8b546f2d9ad83464111b4c92462e38aea3","sourceType":"official_policy_page","official":true,"sourceRights":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms."}}]},{"id":"claim-tamu-003","entitySlug":"texas-a-and-m-university","entityType":"university","claimType":"academic_integrity","claimText":"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.","claimValue":"AI disclosure and course guidance tied to academic integrity","confidence":0.94,"reviewState":"agent_reviewed","lastCheckedAt":"2026-05-14T14:23:18Z","lastChangedAt":"2026-05-14T14:23:18Z","evidence":[{"id":"ev-tamu-003","sourceUrl":"https://ai.tamu.edu/teach-with-ai/use-guidelines-and-ethics.html","sourceLanguage":"en","sourceSnapshotHash":"1aa1756d15511988288802bb3dfa4b5beb0905a7b716fd9324a6204e82622842","evidenceSnippet":"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.","evidenceSnippetDisplay":"The source combines user acknowledgment obligations with instructor course guidance.","snippetLocation":"Academic Integrity section","retrievedAt":"2026-05-14T14:23:18Z","attribution":{"id":"ss-tamu-guidelines-ethics","sourceUrl":"https://ai.tamu.edu/teach-with-ai/use-guidelines-and-ethics.html","finalUrl":"https://ai.tamu.edu/teach-with-ai/use-guidelines-and-ethics.html","citationTitle":"Use Guidelines and Ethics | Artificial Intelligence","publisher":"Texas A&M University Artificial Intelligence","retrievedAt":"2026-05-14T14:23:18Z","snapshotHash":"1aa1756d15511988288802bb3dfa4b5beb0905a7b716fd9324a6204e82622842","sourceType":"official_policy_page","official":true,"sourceRights":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms."}}]},{"id":"claim-tamu-004","entitySlug":"texas-a-and-m-university","entityType":"university","claimType":"ai_tool_treatment","claimText":"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.","claimValue":"Course AI-use categories are guidance, not universal policy","confidence":0.93,"reviewState":"agent_reviewed","lastCheckedAt":"2026-05-14T14:23:18Z","lastChangedAt":"2026-05-14T14:23:18Z","evidence":[{"id":"ev-tamu-004","sourceUrl":"https://ai.tamu.edu/learn-with-ai/index.html","sourceLanguage":"en","sourceSnapshotHash":"7d247ab887ab3f93c8f81720fecc07ae6c0adec455bc9c6ff831e56fec1d2ff9","evidenceSnippet":"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.","evidenceSnippetDisplay":"The page explicitly avoids treating the AI categories as a universal policy.","snippetLocation":"AI Categories of Use section","retrievedAt":"2026-05-14T14:23:18Z","attribution":{"id":"ss-tamu-learn-ai","sourceUrl":"https://ai.tamu.edu/learn-with-ai/index.html","finalUrl":"https://ai.tamu.edu/learn-with-ai/index.html","citationTitle":"Learn With AI | Artificial Intelligence","publisher":"Texas A&M University Artificial Intelligence","retrievedAt":"2026-05-14T14:23:18Z","snapshotHash":"7d247ab887ab3f93c8f81720fecc07ae6c0adec455bc9c6ff831e56fec1d2ff9","sourceType":"official_policy_page","official":true,"sourceRights":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms."}}]},{"id":"claim-tamu-008","entitySlug":"texas-a-and-m-university","entityType":"university","claimType":"research","claimText":"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.","claimValue":"Research AI best-practices document is a resource and framework","confidence":0.92,"reviewState":"agent_reviewed","lastCheckedAt":"2026-05-14T14:23:18Z","lastChangedAt":"2026-05-14T14:23:18Z","evidence":[{"id":"ev-tamu-008","sourceUrl":"https://research.tamu.edu/memos/best-practices-for-generative-ai-in-research/","sourceLanguage":"en","sourceSnapshotHash":"5b58a473566df2ffc4bf7319ea8bcd4fc1c0e90be98a44fdd444dfcc3a4d069e","evidenceSnippet":"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.","evidenceSnippetDisplay":"The memo frames the research document as a resource and framework rather than a final college-level action plan.","snippetLocation":"Best Practices memo body","retrievedAt":"2026-05-14T14:23:18Z","attribution":{"id":"ss-tamu-research-memo","sourceUrl":"https://research.tamu.edu/memos/best-practices-for-generative-ai-in-research/","finalUrl":"https://research.tamu.edu/memos/best-practices-for-generative-ai-in-research/","citationTitle":"Best Practices for Generative AI in Research","publisher":"Texas A&M University Division of Research","retrievedAt":"2026-05-14T14:23:18Z","snapshotHash":"5b58a473566df2ffc4bf7319ea8bcd4fc1c0e90be98a44fdd444dfcc3a4d069e","sourceType":"official_policy_page","official":true,"sourceRights":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms."}}]},{"id":"claim-tamu-009","entitySlug":"texas-a-and-m-university","entityType":"university","claimType":"teaching","claimText":"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.","claimValue":"Recommended hybrid syllabus approach for generative AI","confidence":0.9,"reviewState":"agent_reviewed","lastCheckedAt":"2026-05-14T14:23:18Z","lastChangedAt":"2026-05-14T14:23:18Z","evidence":[{"id":"ev-tamu-009","sourceUrl":"https://ai.tamu.edu/_files/_documents/tamu-cte-genai-syllabus-statement-considerations.pdf","sourceLanguage":"en","sourceSnapshotHash":"e9c820cb0e1f625b4ac83dc2e30216df1b1a79cc05066c2947e362d1873ce3fd","evidenceSnippet":"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.","evidenceSnippetDisplay":"The PDF recommends a hybrid syllabus approach and ties coursework AI use to academic integrity and the Aggie Honor Code.","snippetLocation":"Possible Courses of Action for the Institution","retrievedAt":"2026-05-14T14:23:18Z","attribution":{"id":"ss-tamu-syllabus-pdf","sourceUrl":"https://ai.tamu.edu/_files/_documents/tamu-cte-genai-syllabus-statement-considerations.pdf","finalUrl":"https://ai.tamu.edu/_files/_documents/tamu-cte-genai-syllabus-statement-considerations.pdf","citationTitle":"Generative AI Syllabus Statement Considerations","publisher":"Texas A&M University Center for Teaching Excellence","retrievedAt":"2026-05-14T14:23:18Z","snapshotHash":"e9c820cb0e1f625b4ac83dc2e30216df1b1a79cc05066c2947e362d1873ce3fd","sourceType":"official_pdf","official":true,"sourceRights":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms."}}]}],"suggestedCitation":"University AI Policy Tracker. \"Texas A&M University AI Policy Tracker record.\" Last checked May 14, 2026. https://eduaipolicy.org/universities/texas-a-and-m-university"},"schemaVersion":"v1","citationTitle":"Texas A&M University AI Policy Tracker record","publicPageUrl":"https://eduaipolicy.org/universities/texas-a-and-m-university","apiUrl":"https://eduaipolicy.org/api/public/v1/universities/texas-a-and-m-university.json","entityType":"university","entitySlug":"texas-a-and-m-university","entity":{"type":"university","slug":"texas-a-and-m-university","name":"Texas A&M University","canonicalUrl":"https://eduaipolicy.org/universities/texas-a-and-m-university","aliases":["QS 2026 144"],"summary":"Texas A&M University is listed as QS 2026 rank 144. Texas A&M University has 9 source-backed AI policy claim records from 6 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state."},"summary":"Texas A&M University is listed as QS 2026 rank 144. Texas A&M University has 9 source-backed AI policy claim records from 6 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.","lastCheckedAt":"2026-05-14T14:23:18Z","lastChangedAt":"2026-05-14T14:23:18Z","confidence":0.96,"reviewState":"agent_reviewed","officialSources":[{"id":"sc-tamu-detection","sourceUrl":"https://ai.tamu.edu/teach-with-ai/detection.html","finalUrl":"https://ai.tamu.edu/teach-with-ai/detection.html","citationTitle":"AI Detection Tools | Artificial Intelligence","publisher":"ai.tamu.edu","retrievedAt":"2026-05-14T14:23:18Z","snapshotHash":"cea24075ac33f0bdcb9e44ad891eac740d09b438405f366b1b9232ba4c8f1a3c","sourceType":"official_guidance","official":true,"sourceRights":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms."},{"id":"sc-tamu-ai-services","sourceUrl":"https://www.it.tamu.edu/ai-services/index.html","finalUrl":"https://www.it.tamu.edu/ai-services/index.html","citationTitle":"AI Services | Technology Services","publisher":"it.tamu.edu","retrievedAt":"2026-05-14T14:23:18Z","snapshotHash":"37cc9cd7dee681aa5d52915d06b92b8b546f2d9ad83464111b4c92462e38aea3","sourceType":"official_guidance","official":true,"sourceRights":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms."},{"id":"sc-tamu-research-memo","sourceUrl":"https://research.tamu.edu/memos/best-practices-for-generative-ai-in-research/","finalUrl":"https://research.tamu.edu/memos/best-practices-for-generative-ai-in-research/","citationTitle":"Best Practices for Generative AI in Research","publisher":"research.tamu.edu","retrievedAt":"2026-05-14T14:23:18Z","snapshotHash":"5b58a473566df2ffc4bf7319ea8bcd4fc1c0e90be98a44fdd444dfcc3a4d069e","sourceType":"official_guidance","official":true,"sourceRights":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms."},{"id":"sc-tamu-syllabus-pdf","sourceUrl":"https://ai.tamu.edu/_files/_documents/tamu-cte-genai-syllabus-statement-considerations.pdf","finalUrl":"https://ai.tamu.edu/_files/_documents/tamu-cte-genai-syllabus-statement-considerations.pdf","citationTitle":"Generative AI Syllabus Statement Considerations","publisher":"ai.tamu.edu","retrievedAt":"2026-05-14T14:23:18Z","snapshotHash":"e9c820cb0e1f625b4ac83dc2e30216df1b1a79cc05066c2947e362d1873ce3fd","sourceType":"official_pdf","official":true,"sourceRights":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms."},{"id":"sc-tamu-learn-ai","sourceUrl":"https://ai.tamu.edu/learn-with-ai/index.html","finalUrl":"https://ai.tamu.edu/learn-with-ai/index.html","citationTitle":"Learn With AI | Artificial Intelligence","publisher":"ai.tamu.edu","retrievedAt":"2026-05-14T14:23:18Z","snapshotHash":"7d247ab887ab3f93c8f81720fecc07ae6c0adec455bc9c6ff831e56fec1d2ff9","sourceType":"official_guidance","official":true,"sourceRights":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms."},{"id":"sc-tamu-guidelines-ethics","sourceUrl":"https://ai.tamu.edu/teach-with-ai/use-guidelines-and-ethics.html","finalUrl":"https://ai.tamu.edu/teach-with-ai/use-guidelines-and-ethics.html","citationTitle":"Use Guidelines and Ethics | Artificial Intelligence","publisher":"ai.tamu.edu","retrievedAt":"2026-05-14T14:23:18Z","snapshotHash":"1aa1756d15511988288802bb3dfa4b5beb0905a7b716fd9324a6204e82622842","sourceType":"official_guidance","official":true,"sourceRights":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms."}],"claims":[{"id":"claim-tamu-002","entitySlug":"texas-a-and-m-university","entityType":"university","claimType":"privacy","claimText":"Texas A&M guidance says everyone must follow data privacy and security guidelines when using generative AI to protect personal and institutional data.","claimValue":"AI users must follow data privacy and security guidance","confidence":0.96,"reviewState":"agent_reviewed","lastCheckedAt":"2026-05-14T14:23:18Z","lastChangedAt":"2026-05-14T14:23:18Z","evidence":[{"id":"ev-tamu-002","sourceUrl":"https://ai.tamu.edu/teach-with-ai/use-guidelines-and-ethics.html","sourceLanguage":"en","sourceSnapshotHash":"1aa1756d15511988288802bb3dfa4b5beb0905a7b716fd9324a6204e82622842","evidenceSnippet":"Everyone must follow data privacy and security guidelines when using generative AI, protecting personal and institutional data.","evidenceSnippetDisplay":"The source uses mandatory language for data privacy and security guidance.","snippetLocation":"Data Privacy and Security section","retrievedAt":"2026-05-14T14:23:18Z","attribution":{"id":"ss-tamu-guidelines-ethics","sourceUrl":"https://ai.tamu.edu/teach-with-ai/use-guidelines-and-ethics.html","finalUrl":"https://ai.tamu.edu/teach-with-ai/use-guidelines-and-ethics.html","citationTitle":"Use Guidelines and Ethics | Artificial Intelligence","publisher":"Texas A&M University Artificial Intelligence","retrievedAt":"2026-05-14T14:23:18Z","snapshotHash":"1aa1756d15511988288802bb3dfa4b5beb0905a7b716fd9324a6204e82622842","sourceType":"official_policy_page","official":true,"sourceRights":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms."}}]},{"id":"claim-tamu-001","entitySlug":"texas-a-and-m-university","entityType":"university","claimType":"source_status","claimText":"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.","claimValue":"Responsible AI guidance page exists","confidence":0.95,"reviewState":"agent_reviewed","lastCheckedAt":"2026-05-14T14:23:18Z","lastChangedAt":"2026-05-14T14:23:18Z","evidence":[{"id":"ev-tamu-001","sourceUrl":"https://ai.tamu.edu/teach-with-ai/use-guidelines-and-ethics.html","sourceLanguage":"en","sourceSnapshotHash":"1aa1756d15511988288802bb3dfa4b5beb0905a7b716fd9324a6204e82622842","evidenceSnippet":"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.","evidenceSnippetDisplay":"Texas A&M frames this page as responsible-use guidance, not as a standalone formal policy.","snippetLocation":"Purpose section","retrievedAt":"2026-05-14T14:23:18Z","attribution":{"id":"ss-tamu-guidelines-ethics","sourceUrl":"https://ai.tamu.edu/teach-with-ai/use-guidelines-and-ethics.html","finalUrl":"https://ai.tamu.edu/teach-with-ai/use-guidelines-and-ethics.html","citationTitle":"Use Guidelines and Ethics | Artificial Intelligence","publisher":"Texas A&M University Artificial Intelligence","retrievedAt":"2026-05-14T14:23:18Z","snapshotHash":"1aa1756d15511988288802bb3dfa4b5beb0905a7b716fd9324a6204e82622842","sourceType":"official_policy_page","official":true,"sourceRights":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms."}}]},{"id":"claim-tamu-005","entitySlug":"texas-a-and-m-university","entityType":"university","claimType":"academic_integrity","claimText":"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.","claimValue":"Caution against sole reliance on AI detection tools","confidence":0.95,"reviewState":"agent_reviewed","lastCheckedAt":"2026-05-14T14:23:18Z","lastChangedAt":"2026-05-14T14:23:18Z","evidence":[{"id":"ev-tamu-005","sourceUrl":"https://ai.tamu.edu/teach-with-ai/detection.html","sourceLanguage":"en","sourceSnapshotHash":"cea24075ac33f0bdcb9e44ad891eac740d09b438405f366b1b9232ba4c8f1a3c","evidenceSnippet":"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.","evidenceSnippetDisplay":"The page recommends caution and a broader integrity approach rather than sole detector use.","snippetLocation":"Challenges with AI Detection Tools section","retrievedAt":"2026-05-14T14:23:18Z","attribution":{"id":"ss-tamu-detection","sourceUrl":"https://ai.tamu.edu/teach-with-ai/detection.html","finalUrl":"https://ai.tamu.edu/teach-with-ai/detection.html","citationTitle":"AI Detection Tools | Artificial Intelligence","publisher":"Texas A&M University Artificial Intelligence","retrievedAt":"2026-05-14T14:23:18Z","snapshotHash":"cea24075ac33f0bdcb9e44ad891eac740d09b438405f366b1b9232ba4c8f1a3c","sourceType":"official_policy_page","official":true,"sourceRights":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms."}}]},{"id":"claim-tamu-006","entitySlug":"texas-a-and-m-university","entityType":"university","claimType":"ai_tool_treatment","claimText":"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.","claimValue":"TAMU AI Chat approved for students and employees with University-Confidential-or-lower support","confidence":0.95,"reviewState":"agent_reviewed","lastCheckedAt":"2026-05-14T14:23:18Z","lastChangedAt":"2026-05-14T14:23:18Z","evidence":[{"id":"ev-tamu-006","sourceUrl":"https://www.it.tamu.edu/ai-services/index.html","sourceLanguage":"en","sourceSnapshotHash":"37cc9cd7dee681aa5d52915d06b92b8b546f2d9ad83464111b4c92462e38aea3","evidenceSnippet":"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.","evidenceSnippetDisplay":"The service page names TAMU AI Chat as university-approved and gives the supported data classification.","snippetLocation":"TAMU AI Chat section","retrievedAt":"2026-05-14T14:23:18Z","attribution":{"id":"ss-tamu-ai-services","sourceUrl":"https://www.it.tamu.edu/ai-services/index.html","finalUrl":"https://www.it.tamu.edu/ai-services/index.html","citationTitle":"AI Services | Technology Services","publisher":"Technology Services, Texas A&M University","retrievedAt":"2026-05-14T14:23:18Z","snapshotHash":"37cc9cd7dee681aa5d52915d06b92b8b546f2d9ad83464111b4c92462e38aea3","sourceType":"official_policy_page","official":true,"sourceRights":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms."}}]},{"id":"claim-tamu-007","entitySlug":"texas-a-and-m-university","entityType":"university","claimType":"privacy","claimText":"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.","claimValue":"Google and Microsoft AI tools have data restrictions","confidence":0.95,"reviewState":"agent_reviewed","lastCheckedAt":"2026-05-14T14:23:18Z","lastChangedAt":"2026-05-14T14:23:18Z","evidence":[{"id":"ev-tamu-007","sourceUrl":"https://www.it.tamu.edu/ai-services/index.html","sourceLanguage":"en","sourceSnapshotHash":"37cc9cd7dee681aa5d52915d06b92b8b546f2d9ad83464111b4c92462e38aea3","evidenceSnippet":"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.","evidenceSnippetDisplay":"The page allows these tools for a stated data classification and excludes specific sensitive categories.","snippetLocation":"Free AI Tools section","retrievedAt":"2026-05-14T14:23:18Z","attribution":{"id":"ss-tamu-ai-services","sourceUrl":"https://www.it.tamu.edu/ai-services/index.html","finalUrl":"https://www.it.tamu.edu/ai-services/index.html","citationTitle":"AI Services | Technology Services","publisher":"Technology Services, Texas A&M University","retrievedAt":"2026-05-14T14:23:18Z","snapshotHash":"37cc9cd7dee681aa5d52915d06b92b8b546f2d9ad83464111b4c92462e38aea3","sourceType":"official_policy_page","official":true,"sourceRights":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms."}}]},{"id":"claim-tamu-003","entitySlug":"texas-a-and-m-university","entityType":"university","claimType":"academic_integrity","claimText":"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.","claimValue":"AI disclosure and course guidance tied to academic integrity","confidence":0.94,"reviewState":"agent_reviewed","lastCheckedAt":"2026-05-14T14:23:18Z","lastChangedAt":"2026-05-14T14:23:18Z","evidence":[{"id":"ev-tamu-003","sourceUrl":"https://ai.tamu.edu/teach-with-ai/use-guidelines-and-ethics.html","sourceLanguage":"en","sourceSnapshotHash":"1aa1756d15511988288802bb3dfa4b5beb0905a7b716fd9324a6204e82622842","evidenceSnippet":"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.","evidenceSnippetDisplay":"The source combines user acknowledgment obligations with instructor course guidance.","snippetLocation":"Academic Integrity section","retrievedAt":"2026-05-14T14:23:18Z","attribution":{"id":"ss-tamu-guidelines-ethics","sourceUrl":"https://ai.tamu.edu/teach-with-ai/use-guidelines-and-ethics.html","finalUrl":"https://ai.tamu.edu/teach-with-ai/use-guidelines-and-ethics.html","citationTitle":"Use Guidelines and Ethics | Artificial Intelligence","publisher":"Texas A&M University Artificial Intelligence","retrievedAt":"2026-05-14T14:23:18Z","snapshotHash":"1aa1756d15511988288802bb3dfa4b5beb0905a7b716fd9324a6204e82622842","sourceType":"official_policy_page","official":true,"sourceRights":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms."}}]},{"id":"claim-tamu-004","entitySlug":"texas-a-and-m-university","entityType":"university","claimType":"ai_tool_treatment","claimText":"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.","claimValue":"Course AI-use categories are guidance, not universal policy","confidence":0.93,"reviewState":"agent_reviewed","lastCheckedAt":"2026-05-14T14:23:18Z","lastChangedAt":"2026-05-14T14:23:18Z","evidence":[{"id":"ev-tamu-004","sourceUrl":"https://ai.tamu.edu/learn-with-ai/index.html","sourceLanguage":"en","sourceSnapshotHash":"7d247ab887ab3f93c8f81720fecc07ae6c0adec455bc9c6ff831e56fec1d2ff9","evidenceSnippet":"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.","evidenceSnippetDisplay":"The page explicitly avoids treating the AI categories as a universal policy.","snippetLocation":"AI Categories of Use section","retrievedAt":"2026-05-14T14:23:18Z","attribution":{"id":"ss-tamu-learn-ai","sourceUrl":"https://ai.tamu.edu/learn-with-ai/index.html","finalUrl":"https://ai.tamu.edu/learn-with-ai/index.html","citationTitle":"Learn With AI | Artificial Intelligence","publisher":"Texas A&M University Artificial Intelligence","retrievedAt":"2026-05-14T14:23:18Z","snapshotHash":"7d247ab887ab3f93c8f81720fecc07ae6c0adec455bc9c6ff831e56fec1d2ff9","sourceType":"official_policy_page","official":true,"sourceRights":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms."}}]},{"id":"claim-tamu-008","entitySlug":"texas-a-and-m-university","entityType":"university","claimType":"research","claimText":"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.","claimValue":"Research AI best-practices document is a resource and framework","confidence":0.92,"reviewState":"agent_reviewed","lastCheckedAt":"2026-05-14T14:23:18Z","lastChangedAt":"2026-05-14T14:23:18Z","evidence":[{"id":"ev-tamu-008","sourceUrl":"https://research.tamu.edu/memos/best-practices-for-generative-ai-in-research/","sourceLanguage":"en","sourceSnapshotHash":"5b58a473566df2ffc4bf7319ea8bcd4fc1c0e90be98a44fdd444dfcc3a4d069e","evidenceSnippet":"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.","evidenceSnippetDisplay":"The memo frames the research document as a resource and framework rather than a final college-level action plan.","snippetLocation":"Best Practices memo body","retrievedAt":"2026-05-14T14:23:18Z","attribution":{"id":"ss-tamu-research-memo","sourceUrl":"https://research.tamu.edu/memos/best-practices-for-generative-ai-in-research/","finalUrl":"https://research.tamu.edu/memos/best-practices-for-generative-ai-in-research/","citationTitle":"Best Practices for Generative AI in Research","publisher":"Texas A&M University Division of Research","retrievedAt":"2026-05-14T14:23:18Z","snapshotHash":"5b58a473566df2ffc4bf7319ea8bcd4fc1c0e90be98a44fdd444dfcc3a4d069e","sourceType":"official_policy_page","official":true,"sourceRights":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms."}}]},{"id":"claim-tamu-009","entitySlug":"texas-a-and-m-university","entityType":"university","claimType":"teaching","claimText":"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.","claimValue":"Recommended hybrid syllabus approach for generative AI","confidence":0.9,"reviewState":"agent_reviewed","lastCheckedAt":"2026-05-14T14:23:18Z","lastChangedAt":"2026-05-14T14:23:18Z","evidence":[{"id":"ev-tamu-009","sourceUrl":"https://ai.tamu.edu/_files/_documents/tamu-cte-genai-syllabus-statement-considerations.pdf","sourceLanguage":"en","sourceSnapshotHash":"e9c820cb0e1f625b4ac83dc2e30216df1b1a79cc05066c2947e362d1873ce3fd","evidenceSnippet":"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.","evidenceSnippetDisplay":"The PDF recommends a hybrid syllabus approach and ties coursework AI use to academic integrity and the Aggie Honor Code.","snippetLocation":"Possible Courses of Action for the Institution","retrievedAt":"2026-05-14T14:23:18Z","attribution":{"id":"ss-tamu-syllabus-pdf","sourceUrl":"https://ai.tamu.edu/_files/_documents/tamu-cte-genai-syllabus-statement-considerations.pdf","finalUrl":"https://ai.tamu.edu/_files/_documents/tamu-cte-genai-syllabus-statement-considerations.pdf","citationTitle":"Generative AI Syllabus Statement Considerations","publisher":"Texas A&M University Center for Teaching Excellence","retrievedAt":"2026-05-14T14:23:18Z","snapshotHash":"e9c820cb0e1f625b4ac83dc2e30216df1b1a79cc05066c2947e362d1873ce3fd","sourceType":"official_pdf","official":true,"sourceRights":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms."}}]}],"suggestedCitation":"University AI Policy Tracker. \"Texas A&M University AI Policy Tracker record.\" Last checked May 14, 2026. https://eduaipolicy.org/universities/texas-a-and-m-university"}