University AI Policy Tracker

Otwarte, oparte na dowodach rekordy polityk AI uczelni do publicznego uzycia.

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Change log

University of New England Australia

Release-to-release tracker diff with separate policy-text, newly-extracted claim, evidence, and source snapshot categories.

Review: Agent reviewedLast checkedMay 24, 2026Last changedMay 24, 2026Claims6Sources4Releasepublic-release-20260526-003
University pagePublic JSON

Change summary

Current public record freshness and review state.

University of New England Australia currently has 6 source-backed claim records and 4 official source attributions. Latest tracked changed date: May 24, 2026. Latest tracker diff: 0 comparable policy-text changes, 6 newly extracted claims, 0 source snapshot changes.

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

Semantic classification for this release diff.

Policy text0Newly extracted6Evidence0Source snapshots0Source text0Source added4Source removed0

Release diff

Unified tracker diff generated from the previous and current public release snapshots.

University of New England Australia release diff

Comparing public-release-20260526-001 to public-release-20260526-003.

+26-0
11 # University of New England Australia 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+research: UNE's HDR generative AI guidance says higher degree research candidates are required to consider ethical, critical, and creative uses of generative AI and to ensure proper citation of content generated by AI tools and sources they use.
5+Evidence (en, 239a15190441): In the planning of a research project, HDR candidates are required to consider the ethical, critical, and creative uses of generative AI and to ensure proper citation of all content generated by AI tools and sources that you use.
6+Tracker checked at: 2026-05-24T14:27:23.000Z
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: UNE's HDR generative AI guidance cautions that inputting research data into AI can risk loss of copyright or intellectual property control and can have serious implications if sensitive or highly sensitive data is inadvertently released.
10+Evidence (en, 239a15190441): Inputting any research data into AI, is at the risk of losing copyright/intellectual property rights... This could have significant ramifications... if you inadvertently release sensitive or highly sensitive data.
11+Tracker checked at: 2026-05-24T14:27:23.000Z
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: UNE's HDR generative AI guidance warns that failure to reference generative AI content may be considered academic or research misconduct, and lists risks including unacknowledged AI output, inaccurate AI-generated references, substantive AI-generated thesis or publication content, peer review or ethics-clearance use, and disclosure of sensitive or confidential material to generative AI.
15+Evidence (en, 239a15190441): Failure to reference content from generative AI may be considered academic misconduct or research misconduct... avoid... Using output from generative AI tools without acknowledgment... Including substantive content from a generative AI tool into your HDR thesis or publication... Breaching data privacy, security, copyright, intellectual property, or confidentiality...
16+Tracker checked at: 2026-05-24T14:27:23.000Z
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+source_status: UNE's public Learning Online academic integrity myLearn section states that a Generative AI and Academic Integrity at UNE module exists and lists module topics including general principles for use of generative AI, Turnitin detection and AI, and referencing generative AI.
20+Evidence (en, 4ac68cddd8e4): Discover Generative AI and Academic Integrity at UNE and learn UNE's stance and how you can ethically use Generative AI... Generative AI Modules: What is Generative AI? General Principles for Use of Generative AI. TurnItIn Detection and AI. Referencing Generative AI. Example Case Study.
21+Tracker checked at: 2026-05-24T14:27:23.000Z
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: UNE's Student Academic Integrity Policy includes artificial intelligence tools in its example of work substantially written by someone else, within the policy's breach framework for undergraduate and postgraduate award and non-award coursework students; the policy states it does not apply to higher degree by research courses.
25+Evidence (en, 8581900227f5): This Policy applies to all students enrolled in undergraduate and postgraduate award and non-award courses offered by UNE... The Policy does not apply to higher degree by research courses. Breaches... include... work substantially written by someone else... artificial intelligence tool, or other tool.
26+Tracker checked at: 2026-05-24T14:27:23.000Z
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: A UNE School of Education public myLearn information page tells students that computer programs, artificial intelligence tools, or other tools should not be used to write or produce any part of an assessment response unless explicitly referenced and in line with unit coordinator advice for the assessment task.
30+Evidence (en, d22272d10afd): tools including computer programs, artificial intelligence tools or other tools should NOT be used to write, or produce, any part of your assessment response unless it has been explicitly referenced and in line with advice by the unit coordinator in your assessment task.
31+Tracker checked at: 2026-05-24T14:27:23.000Z
1432 ## Source attribution added
1533 An official source attribution was added to the tracker record.
34+Source https://mylearn.une.edu.au/course/section.php?id=12927 snapshot 4ac68cddd8e4f41120d1a93431fe6f2d11648b2f30d25a0f8923d171c90ac64a
35+Tracker checked at: 2026-05-24T14:27:23.000Z
1636 ## Source attribution added
1737 An official source attribution was added to the tracker record.
38+Source https://mylearn.une.edu.au/mod/page/view.php?id=2908778 snapshot d22272d10afd9948ac4cf86a33c1d0a1e512259c7d36b9ddc0564999b5252e49
39+Tracker checked at: 2026-05-24T14:27:23.000Z
1840 ## Source attribution added
1941 An official source attribution was added to the tracker record.
42+Source https://policies.une.edu.au/view.current.php?id=00304 snapshot 8581900227f5833c96bb433b2a1282708d44f331fa8d8cff02587fdcf4bc286c
43+Tracker checked at: 2026-05-24T14:27:23.000Z
2044 ## Source attribution added
2145 An official source attribution was added to the tracker record.
46+Source https://www.une.edu.au/research/graduate-research-school/current-students/hdr-resources/artificial-intelligence-in-hdr snapshot 239a151904418afb9c95d23e98bda7d5bdeff7e9b71f5adc89f0de452482ae79
47+Tracker checked at: 2026-05-24T14:27:23.000Z

Claim changes

6 claim records

research

UNE's HDR generative AI guidance says higher degree research candidates are required to consider ethical, critical, and creative uses of generative AI and to ensure proper citation of content generated by AI tools and sources they use.

Review: Agent reviewedConfidence95%Evidence1Languagesen

academic_integrity

UNE's HDR generative AI guidance warns that failure to reference generative AI content may be considered academic or research misconduct, and lists risks including unacknowledged AI output, inaccurate AI-generated references, substantive AI-generated thesis or publication content, peer review or ethics-clearance use, and disclosure of sensitive or confidential material to generative AI.

Review: Agent reviewedConfidence94%Evidence1Languagesen

academic_integrity

UNE's Student Academic Integrity Policy includes artificial intelligence tools in its example of work substantially written by someone else, within the policy's breach framework for undergraduate and postgraduate award and non-award coursework students; the policy states it does not apply to higher degree by research courses.

Review: Agent reviewedConfidence93%Evidence1Languagesen

privacy

UNE's HDR generative AI guidance cautions that inputting research data into AI can risk loss of copyright or intellectual property control and can have serious implications if sensitive or highly sensitive data is inadvertently released.

Review: Agent reviewedConfidence93%Evidence1Languagesen

ai_tool_treatment

A UNE School of Education public myLearn information page tells students that computer programs, artificial intelligence tools, or other tools should not be used to write or produce any part of an assessment response unless explicitly referenced and in line with unit coordinator advice for the assessment task.

Review: Agent reviewedConfidence88%Evidence1Languagesen

source_status

UNE's public Learning Online academic integrity myLearn section states that a Generative AI and Academic Integrity at UNE module exists and lists module topics including general principles for use of generative AI, Turnitin detection and AI, and referencing generative AI.

Review: Agent reviewedConfidence87%Evidence1Languagesen

Source snapshots

4 source attributions

University of New England Australia AI Policy Tracker Release Diff | University AI Policy Tracker