Change log

University of Texas at Austin

Source-backed change history with no release-to-release policy diff rows recorded yet; current claims, official sources, review state, and freshness remain visible across 0 public release records.

Review: Agent reviewedLast checkedMay 13, 2026Last changedMay 13, 2026Claims11Sources6Release records0

University page Public JSON Monthly report University index

University of Texas at Austin currently has 11 source-backed claim records and 6 official source attributions. Latest tracked changed date: May 13, 2026. No tracker diff rows are recorded in the latest public release.

This page combines all public release diffs for University of Texas at Austin. Individual release snapshots remain available from their release-specific URLs.

No release-to-release policy diff rows are recorded for this university yet. The page still tracks current source-backed claims, official source attributions, review state, source freshness, and public JSON for discovery and citation.

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.

Newly extracted claims are tracker additions and are not necessarily newly published by the university. Source snapshot changes show hash changes for the same source URL and are not by themselves policy changes.

Policy text0Newly extracted0Evidence0Source snapshots0Source text0Source added0Source removed0

11 # University of Texas at Austin AI policy record
2+privacy: UT Austin acceptable-use guidance says published university information may be used freely with AI tools, while controlled or confidential university information can be used only with university-managed AI tools covered by contracts that protect university data and disable web search functionality.
3+Evidence (en, f65f66948048): Public or Published Data: Data that is publicly available or classified as Published university information ... may be used freely with AI tools. Controlled or Confidential Data ... can be used with AI tools that are managed by the university and covered by contracts explicitly protecting university data ... and web search functionality must be disabled.
4+privacy: UT Austin acceptable-use guidance says unauthorized AI tools are not approved for controlled or confidential university information, including student records subject to FERPA, health information, proprietary information, and other controlled or confidential data.
5+Evidence (en, f65f66948048): AI tools that lack a university contract and appropriate data-sharing controls are not approved for use with Controlled or Confidential university information. This includes free or non-UT-managed versions of AI tools like ChatGPT and Copilot.
6+procurement: UT Austin AI detection guidance prohibits third-party AI detection software from being used to evaluate student work or assignments unless a university contract or purchase order is in place.
7+Evidence (en, 9a2c53f763c0): The University prohibits the use of all third-party software, including AI Detection Software ... to evaluate student work or assignments unless a University contract or purchase order is in place.
8+security_review: UT Austin acceptable-use guidance says the CISO must review AI tools before procurement, development, deployment, or use when the tools are intended to autonomously make, or be a controlling factor in making, consequential decisions.
9+Evidence (en, f65f66948048): UT Austin’s CISO must review AI tools to be used for any of these purposes prior to their procurement, development, deployment, or use.
10+teaching: UT Austin responsible-adoption guidance defines responsible AI use in teaching and learning as adopting AI in ways that facilitate learning outcomes and foster human development for campus community members.
11+Evidence (en, e5d95fdfcc51): At UT Austin, we define responsible use of AI in teaching and learning as the adoption of AI that facilitates the achievement of learning outcomes and fosters human development for all members of the campus community.
12+privacy: UT Austin AI detection guidance says submitting student work into AI detection or other third-party software without a university contract or purchase order may violate student copyright, intellectual property, or FERPA privacy rights.
13+Evidence (en, 9a2c53f763c0): Submitting student work (even if it is anonymized) into any AI Detection Software (or any other third-party software) without a University contract or purchase order in place may be a violation of that student’s copyright and intellectual property rights.
14+academic_integrity: UT Austin responsible-adoption guidance includes academic integrity as a principle for AI use, linking responsible use to the honor code, scholarly values, ownership, and appropriate authorship of tool outputs.
15+Evidence (en, e5d95fdfcc51): Academic Integrity: Use AI in alignment with our honor code and fundamental scholarly values such honesty, respect and authenticity, taking ownership and claiming authorship of the output of tools when appropriate.
16+research: UT Austin graduate-education recommendations state that graduate students and mentors must use only vetted, university-contracted generative AI platforms for work involving non-public research data.
17+Evidence (en, 3b608ef24908): Graduate students and their mentors must only use vetted, University-contracted generative AI platforms for work involving non-public research data.
18+academic_integrity: UT Austin CTL teaching-policy guidance says using generative AI tools to create course-assignment responses in a way the instructor does not accept may be considered academic dishonesty by the university.
19+Evidence (en, fc141d191267): The use of generative AI tools to create responses to course assignments in a way that is unacceptable to the course instructor may be considered a case of academic dishonesty by the university.
20+teaching: UT Austin classroom guidance recommends that instructors requiring generative AI understand and abide by UT acceptable-use guidance, identify syllabus policies clearly, and submit specific software requirements through the University Co-Op.
21+Evidence (en, 93a8872c71bd): Ensure that your syllabus clearly identifies Syllabus Policy statements regarding the use of generative AI in your class. If you plan to encourage or require the use of generative AI in your class, ensure that requirement is clearly listed in the Required Course Materials section of your syllabus.

Release history

0 public release diffs

Claim changes

11 claim records

privacy

UT Austin acceptable-use guidance says published university information may be used freely with AI tools, while controlled or confidential university information can be used only with university-managed AI tools covered by contracts that protect university data and disable web search functionality.

Review: Agent reviewedConfidence96%Evidence1Languagesen

privacy

UT Austin acceptable-use guidance says unauthorized AI tools are not approved for controlled or confidential university information, including student records subject to FERPA, health information, proprietary information, and other controlled or confidential data.

Review: Agent reviewedConfidence96%Evidence1Languagesen

procurement

UT Austin AI detection guidance prohibits third-party AI detection software from being used to evaluate student work or assignments unless a university contract or purchase order is in place.

Review: Agent reviewedConfidence96%Evidence1Languagesen

security_review

UT Austin acceptable-use guidance says the CISO must review AI tools before procurement, development, deployment, or use when the tools are intended to autonomously make, or be a controlling factor in making, consequential decisions.

Review: Agent reviewedConfidence95%Evidence1Languagesen

teaching

UT Austin responsible-adoption guidance defines responsible AI use in teaching and learning as adopting AI in ways that facilitate learning outcomes and foster human development for campus community members.

Review: Agent reviewedConfidence94%Evidence1Languagesen

privacy

UT Austin AI detection guidance says submitting student work into AI detection or other third-party software without a university contract or purchase order may violate student copyright, intellectual property, or FERPA privacy rights.

Review: Agent reviewedConfidence94%Evidence1Languagesen

academic_integrity

UT Austin responsible-adoption guidance includes academic integrity as a principle for AI use, linking responsible use to the honor code, scholarly values, ownership, and appropriate authorship of tool outputs.

Review: Agent reviewedConfidence92%Evidence1Languagesen

research

UT Austin graduate-education recommendations state that graduate students and mentors must use only vetted, university-contracted generative AI platforms for work involving non-public research data.

Review: Agent reviewedConfidence91%Evidence1Languagesen

academic_integrity

UT Austin CTL teaching-policy guidance says using generative AI tools to create course-assignment responses in a way the instructor does not accept may be considered academic dishonesty by the university.

Review: Agent reviewedConfidence91%Evidence1Languagesen

teaching

UT Austin classroom guidance recommends that instructors requiring generative AI understand and abide by UT acceptable-use guidance, identify syllabus policies clearly, and submit specific software requirements through the University Co-Op.

Review: Agent reviewedConfidence91%Evidence1Languagesen

research

UT Austin graduate-education recommendations say students should remain accountable as the sole intellectual author of milestone work and should never cite AI as an author.

Review: Agent reviewedConfidence90%Evidence1Languagesen