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Queen's University Belfast
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Queen's University Belfast public-release-20260523-001 różnica
Pierwsze śledzone wydanie.
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11 # Queen's University Belfast 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+ai_tool_treatment: Queen's assessment guidance says text-based AI detectors are not recommended because current tools cannot definitively identify AI-authored content and can produce false positives.
5+Evidence (en, 6e94d9c097da): Current tools that attempt to detect AI generated text – whether by analysing writing styles, using machine learning classification, or watermarking – cannot definitively identify AI-authored content. Worryingly, these systems often produce an unacceptably high rate of false positives.
In the future, with the integration of AI writing tools into platforms like Microsoft Word and Google Workplace, it is anticipated that much of our writing will include AI-generated elements. This will be similar to how we currently benefit from algorithm-driven spell checkers and grammar tools. Considering these factors, the use of text-based AI detectors is not recommended.
6+Tracker checked at: 2026-05-15T12:34:36.259Z
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+academic_integrity: Queen's assessment guidance says students who misuse AI will be subject to the University's academic misconduct regulations.
10+Evidence (en, 6e94d9c097da): Students need to be fully aware of when and how they can use AI in assessments, including any limitations on certain tools or the need to cite or document how AI has been used. If students misuse AI, they will be subject to the University's academic misconduct
regulations
.
11+Tracker checked at: 2026-05-15T12:34:36.259Z
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: Queen's assessment guidance says module staff will clarify if and how AI can be used in assessment, and students should consult their tutor if in doubt.
15+Evidence (en, 6e94d9c097da): This academic year, those delivering modules will clarify if and how AI can be used when completing assessment. If students have any doubt about how AI can be used, they should consult with their tutor.
16+Tracker checked at: 2026-05-15T12:34:36.259Z
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: Queen's tools guidance identifies Microsoft Copilot Chat as available for Queen's University faculty and staff using a @qub.ac.uk email login.
20+Evidence (en, 6b49d4867081): Microsoft Copilot Chat is available for use by Queens University Faculty and staff. To use Copilot, please log in using your @qub.ac.uk email address. Copilot Chat is supported officially on Microsoft Edge and Chrome (using the latest Stable Channel update).
21+Tracker checked at: 2026-05-15T12:34:36.259Z
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+privacy: Queen's responsible-use guidance tells users to make an ethical judgment about the information submitted to AI tools and whether they have permission to submit it.
25+Evidence (en, e2098a5912ec): When using an AI tool, it is necessary to make an ethical judgment about the data or information that you put into the system when you use it to complete a task. Any information that is submitted to an AI tool then becomes part of the data that the tool draws upon to complete future tasks for anyone who uses the tool. You need to consider whether you have permission to submit the information that you do.
26+Tracker checked at: 2026-05-15T12:34:36.259Z
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+privacy: Queen's tools guidance says the AI tools listed on the page are for exploration and exclusively with publicly available data.
30+Evidence (en, 6b49d4867081): Users are advised to use Artificial Intelligence tools responsibly. It is important to emphasise that the AI tools featured on these pages are intended solely for exploration, and exclusively with publicly available data.
31+Tracker checked at: 2026-05-15T12:34:36.259Z
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+teaching: Queen's AI position page says its staff and student AI guidance is based on RAISE principles: responsible use, AI best practice, integrity, support, and equitable access.
35+Evidence (en, 083dd2d11912): This section brings together tailored QUB guidance for staff and students. This includes recommendations on how to get started as well as more specific guidance on the use of AI, for example within assessment.
Our guidance is based on the following principles:
R
esponsible use,
A
I best practice,
I
ntegrity,
S
upport and
E
quitable Access – collectively RAISE.
36+Tracker checked at: 2026-05-15T12:34:36.259Z
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: Queen's responsible AI research guidance expects material AI use in research to be clearly documented and acknowledged, with researchers validating AI-generated content.
40+Evidence (en, 2d6465b720d2): All use of AI in research must be clearly documented and acknowledged, especially where it constitutes material use in the research process/output. Researchers are expected to validate AI-generated content and uphold the standards of academic honesty, avoiding misrepresentation or plagiarism.
41+Tracker checked at: 2026-05-15T12:34:36.259Z
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+research: Queen's research AI guidance says AI use in projects involving human participants, personal data, or sensitive information must be outlined in ethics applications.
45+Evidence (en, 2d6465b720d2): Researchers using AI in projects involving human participants, personal data, or sensitive information must explicitly outline AI usage in their ethics applications. Ethics applications must include clear details about how AI will be used in data collection, analysis, or management, and how participants’ data privacy will be protected.
46+Tracker checked at: 2026-05-15T12:34:36.259Z
2047 ## Newly extracted tracker claim
2148 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
49+research: Queen's responsible AI research guidance applies to staff, postgraduate research students, visiting researchers, and contractors conducting research under the auspices of the University.
50+Evidence (en, 2d6465b720d2): This guidance applies to:
All Queen’s researchers (staff, postgraduate research students, visiting researchers, and contractors) conducting research under the auspices of the University.
All types of research activities across the research lifecycle including planning, funding proposal development, data collection and analysis, publication and dissemination, peer review and evaluation, and research management.
51+Tracker checked at: 2026-05-15T12:34:36.259Z
2252 ## Newly extracted tracker claim
2353 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
54+research: Queen's Research Integrity AI page states the fundamental principle that users should not present AI responses as their own and should be clear, open, and transparent in AI use.
55+Evidence (en, bc7e6e5aa699): Whilst work is ongoing within the University to develop guidance on its use, the fundamental principle is NOT to present any responses from AI as if they were your own, be clear, open and transparent in your use.
56+Tracker checked at: 2026-05-15T12:34:36.259Z
2457 ## Newly extracted tracker claim
2558 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
59+teaching: Queen's student AI support page provides student-facing resources including guidance on generative AI in studies, academic success, citing AI, acceptable use, and AI confidence.
60+Evidence (en, d00192acbe32): These dedicated resources include an AI Glossary for understanding foundational AI concepts, a guide titled, ‘How to use AI for Academic Success’, and a guide on ‘How to U
se Generative AI in your studies at Queen’s’.
More resources will be added over time, so stay tuned for future updates.
AI Glossary
How to use Generative AI in your studies
How to use AI for Academic Success
Top AI Tools for Students
AI Myth Busting
AI and Creativity
AI and Accessibility
Acceptable and Unacceptable AI Use at QUB
Sustainable AI Use: Top Tips for Students
61+Tracker checked at: 2026-05-15T12:34:36.259Z
2662 ## Source attribution added
2763 An official source attribution was added to the tracker record.
64+Source https://blogs.qub.ac.uk/digitallearning/ai/ snapshot 38dee38eb9405f83dc8fd052366c0af72174b69173c837aec6756e277fd6ad79
65+Tracker checked at: 2026-05-15T12:34:36.259Z
2866 ## Source attribution added
2967 An official source attribution was added to the tracker record.
68+Source https://blogs.qub.ac.uk/digitallearning/ai/ai-in-education/assessment-and-feedback/ snapshot 6e94d9c097dafc48396c33236933ec4fa34898ef5cf4cb3409b26649533a7de3
69+Tracker checked at: 2026-05-15T12:34:36.259Z
3070 ## Source attribution added
3171 An official source attribution was added to the tracker record.
72+Source https://blogs.qub.ac.uk/digitallearning/ai/ai-in-education/teaching-and-learning/student-aisupport/ snapshot d00192acbe32a6f35a0dadc62b15a8d2071bbc73a1e2b0cc198c6b42e24e79cd
73+Tracker checked at: 2026-05-15T12:34:36.259Z
3274 ## Source attribution added
3375 An official source attribution was added to the tracker record.
76+Source https://blogs.qub.ac.uk/digitallearning/ai/ai-in-research/qub-guidance-on-responsible-use-of-ai-in-research/ snapshot 2d6465b720d21934e6ad2c70d055eb5bb7dd6498217210b655c42fa12de68b9c
77+Tracker checked at: 2026-05-15T12:34:36.259Z
3478 ## Source attribution added
3579 An official source attribution was added to the tracker record.
80+Source https://blogs.qub.ac.uk/digitallearning/ai/qub-position-on-ai/ snapshot 083dd2d11912adfc1171e6070f6198f21c88f905975ea2d3ed94fc40093e6e0a
81+Tracker checked at: 2026-05-15T12:34:36.259Z
3682 ## Source attribution added
3783 An official source attribution was added to the tracker record.
84+Source https://blogs.qub.ac.uk/digitallearning/ai/understanding-ai/responsible-use-of-ai/ snapshot e2098a5912ecd8d097496b81d07cb37cc74ac6362b4ea739d5b05ef8b5fae1da
85+Tracker checked at: 2026-05-15T12:34:36.259Z
3886 ## Source attribution added
3987 An official source attribution was added to the tracker record.
88+Source https://blogs.qub.ac.uk/digitallearning/ai/understanding-ai/using-ai/ snapshot 6b49d48670811b2acebe349388424b117f2afd6269024446d7b20bcd157ee46e
89+Tracker checked at: 2026-05-15T12:34:36.259Z
4090 ## Source attribution added
4191 An official source attribution was added to the tracker record.
92+Source https://www.qub.ac.uk/Research/Governance-ethics-and-integrity/Research-integrity/ArtificialIntelligence/ snapshot bc7e6e5aa69900e9d55fb4c2f90ccf71b4e8d4a421f7e474570127a867fe532c
93+Tracker checked at: 2026-05-15T12:34:36.259Z
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