Change log

The University of Tennessee, Knoxville

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.

Change summary

Current public record freshness and review state.

The University of Tennessee, Knoxville currently has 6 source-backed claim records and 4 official source attributions. Latest tracked changed date: May 17, 2026. No tracker diff rows are recorded in the latest public release.

This page combines all public release diffs for The University of Tennessee, Knoxville. 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.

Diff categories

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Policy text0Newly extracted0Evidence0Source snapshots0Source text0Source added0Source removed0

Combined release diff

Unified tracker diff generated from all public release snapshots for this university.

The University of Tennessee, Knoxville combined release diff

Initial tracked release. Lines represent public claim/evidence records entering the release snapshot.

+12-0
11 # The University of Tennessee, Knoxville AI policy record
2+privacy: The University of Tennessee system AI policy says protected university data must not be entered into AI technology that has not been reviewed by the University CIO or designee and authorized for use.
3+Evidence (en-US, 30c1850329fb): Protected University Data shall not be entered into AI technology that has not been reviewed by the University’s Chief Information Officer (or designee) and authorized for use.
4+academic_integrity: The University of Tennessee system AI policy says course-related communications must inform students that unpermitted AI use is a form of academic misconduct subject to the campus student code of conduct.
5+Evidence (en-US, 30c1850329fb): Course-related communications pertaining to the use of AI technology shall: (i) affirm the importance of academic honesty; and (ii) inform Students that the unpermitted use of AI technology is a form of academic misconduct.
6+teaching: The University of Tennessee system AI policy, which includes UT Knoxville, expects course faculty or staff to communicate permitted AI uses for a course and says students are responsible for following those course-specific AI requirements.
7+Evidence (en-US, 30c1850329fb): Faculty/Staff Members responsible for the delivery of a course are expected to clearly communicate to Students the permitted use(s), if any, of AI technology in connection with a course.
8+teaching: UTK Writing Center guidance tells students that when an instructor allows GenAI for writing assignments, they should use it to assist rather than replace their writing process and should document and describe the use.
9+Evidence (en-US, 7830749d0ff5): If your instructor allows you to use GenAI for writing assignments, use it to assist rather than replace your research and writing processes, and always document and describe your use.
10+ai_tool_treatment: UTK Writing Center guidance says instructors may set different GenAI rules for each course, and the sample syllabus page presents open, moderate, and strict AI-use guideline examples.
11+Evidence (en-US, 7830749d0ff5): Read each instructor’s policy on using GenAI (found on the course syllabus), and follow each carefully. UTK instructors may make their own rules about whether and how you can use GenAI in their course.
12+academic_integrity: UTK Libraries guidance says submitting generative-AI-created or rewritten assessment work as one's own is cheating, and advises students to check with professors and instructors about coursework use.
13+Evidence (en, 866424276138): Getting a generative AI to create or re-write your assessment and then submitting that work as your own, is cheating. It is the same as asking another human to do your work for you.

Release history

0 public release diffs

Claim changes

6 claim records

privacy

The University of Tennessee system AI policy says protected university data must not be entered into AI technology that has not been reviewed by the University CIO or designee and authorized for use.

Review: Agent reviewedConfidence95%Evidence1Languagesen-US

academic_integrity

The University of Tennessee system AI policy says course-related communications must inform students that unpermitted AI use is a form of academic misconduct subject to the campus student code of conduct.

Review: Agent reviewedConfidence94%Evidence1Languagesen-US

teaching

The University of Tennessee system AI policy, which includes UT Knoxville, expects course faculty or staff to communicate permitted AI uses for a course and says students are responsible for following those course-specific AI requirements.

Review: Agent reviewedConfidence93%Evidence1Languagesen-US

teaching

UTK Writing Center guidance tells students that when an instructor allows GenAI for writing assignments, they should use it to assist rather than replace their writing process and should document and describe the use.

Review: Agent reviewedConfidence90%Evidence1Languagesen-US

ai_tool_treatment

UTK Writing Center guidance says instructors may set different GenAI rules for each course, and the sample syllabus page presents open, moderate, and strict AI-use guideline examples.

Review: Agent reviewedConfidence88%Evidence2Languagesen-US

academic_integrity

UTK Libraries guidance says submitting generative-AI-created or rewritten assessment work as one's own is cheating, and advises students to check with professors and instructors about coursework use.

Review: Agent reviewedConfidence87%Evidence1Languagesen

Source snapshots

4 source attributions