Co robić
- Check the module and the PDF year.
- Disclose permitted AI use.
- Read the applicable appeal grounds and late exception.

Belfast, United Kingdom
Student guide · Task scope and procedure
The page says 2026-27 while the linked assessment PDF says 2025-26. Detectors are not recommended; appeal grounds, qualified continuation and university notification targets differ.
Poniższe wskazówki są po angielsku; oficjalne dowody zachowano w języku oryginału.
Pełne podsumowanie zasad dla studentów nie jest jeszcze dostępne; sprawdź zebrane stwierdzenia i źródła.
The page says 2026-27 while the linked assessment PDF says 2025-26. Detectors are not recommended; appeal grounds, qualified continuation and university notification targets differ.



Zebrano uzupełnienie: 2026-10-09 · Aktualne zastosowanie niepotwierdzone niezależnie
Podsumowanie jest obecnie dostępne po angielsku
Interpretacja serwisu
The current QUB page labels its assessment guidance 2026-2027, but the shortlink resolves to a PDF headed 2025-26. Preserve this version discrepancy and check module instructions; do not certify that PDF as the new-year rule. RAISE frames responsible use, integrity, support and equitable access.
Zakres: Students in the cited programme/course/stage only · Only the captured source, version, audience and conditions; no exhaustive currency certification.
Dowody wykrywania · Wsparcie i dostosowania
Zakres: Students in the cited programme/course/stage only · university
Web label/PDF version discrepancy; no silent year upgrade.
This section brings together tailored QUB guidance for staff and students. This includes the AI in Education Framework as well as more specific guidance on the use of AI, for example within assessment. A list of FAQs on the framework for staff can be found here: AI Framework Staff FAQs. .
Our guidance is based on the following principles: Responsible use, AI best practice, Integrity, Support and Equitable Access – collectively RAISE.
Queen's University Belfast: AI in Education Framework
AI in Edu Framework - PDF
QUB Staff Guidance on the Use of Generative AI
RAISE Guidance - Staff PDF
QUB Student Guidance on the Use of Generative AI
RAISE Guidance - Student PDF
Explore QUB AI Guidance
Please find QUB key guides on the use of AI in Assessment, 2026-2027, the use of AI in dissertations and current guidance on the use of AI detection tools.
QUB Guidance on the use of AI in Assessment - 2026-2027
Learn more
Guidelines for the use of Gen AI in Dissertation Projects
Learn more
QUB Guidance on the use of AI Detection ToolsZobacz oficjalne źródło ↗Zebrano: 2026-10-09 · 94–108
SHA-256: da854b6aa3d09440cd3af1cf3c85f5cd523dc813460aac2ef8d5fd6fe819e4f3
QUB Guidance on the use of AI in Assessment – 2025-26
The goal of this document is to provide high-level guidance on the use of generative AI within
assessment.
Appropriately introducing AI
With regard to the use of AI within education, our goals are to provide equal access for all,
enhance the student learning experience, improve critical thinking skills, and prepare our
students for real-world AI applications they will use after graduation.
The inclusion of AI tools into teaching and assessment methods will vary by discipline, and
protecting this autonomy is essential. Additionally, professional bodies may further shape and
define how AI is integrated, particularly in relation to accreditation.Zobacz oficjalne źródło ↗Zebrano: 2026-10-09 · 1–13
SHA-256: 70c619e6e4a9f10a1ff205dfeac14ff6a69cb754edaf72bec26c5e51e86e1ddc
Interpretacja serwisu
Improper AI use includes unauthorised or unacknowledged AI-generated text/images included in an assessment presented as the student’s own work contrary to university guidance. This covers permission and acknowledgement as distinct requirements, not every educational AI use.
Zakres: Students in the cited programme/course/stage only · Only the captured source, version, audience and conditions; no exhaustive currency certification.
Dowody wykrywania · Wsparcie i dostosowania
Zakres: Students in the cited programme/course/stage only · university
Impersonate another student, or to allow themselves to be impersonated during an assessment.
5.1.2 Plagiarism: The use or reproduction of another person's work without appropriate acknowledgment, thereby passing it off or presenting it as one's own.
5.1.3 Collusion: Where two or more students work together on an assignment that is meant to be completed individually. It is expected that the work being assessed, unless specifically designated as a group assessment, shall be the work solely of the student submitting it.
5.1.4 Duplication: Using or re-using significant or identical, or nearly identical portion(s) of their own work where such work has been previously submitted for credit within the University or at another institution. This may also be described as self-plagiarism, unless this has been explicitly permitted within the guidelines for the assessment.
5.1.5 Copying or Permitting Copying: Copying another student’s work or permitting another student to copy their work submitted for assessment. Both parties will be dealt with in accordance with these Regulations.
5.1.6 Contract cheating: Purchasing, attempting to purchase, or providing any other inducement, to procure assessed work created by another person which the student then submits as their own work. It is also an offence for a student to supply their own work to a third party, regardless of whether they receive a financial payment or obtain any other gain or advantage.
5.1.7 Improper use of Artificial Intelligence (AI): Unauthorised or unacknowledged inclusion of content, including text and images, generated by artificial intelligence tools or other knowledge-based systems to create the response to an assessment submitted as a student’s own work, contrary to the University’s guidance on responsible use, integrity and AI best practice.
5.1.8 Fabrication: Where a student claims to have carried out experiments, interviews or any form of research which they have not in fact carried out, or where they invent or falsify data, evidence or experimental results. It is also an academic offence for a student to knowingly make use of falsified data as described above.Zobacz oficjalne źródło ↗Zebrano: 2026-10-09 · 168–175
SHA-256: fbf0bf27372447427611662b6c4a776c6ef98e3187f3faca9179c0525fbf25a5
Interpretacja serwisu
An officer decision in the specified penalty branches may be appealed on materially relevant unavailable new evidence or outcome-affecting procedural irregularity. Dissatisfaction alone is not a ground; there is no appeal against referral to the committee or a poor-academic-practice finding.
Zakres: Students in the cited programme/course/stage only · Only the captured source, version, audience and conditions; no exhaustive currency certification.
Zakres: Students in the cited programme/course/stage only · university
Specified branch eligibility; no numeric filing period established by this clause.
9.2. Appeals to Academic Offences Committee Against the Decision of the Academic Offences Officer
9.2.1 Grounds of Appeal
9.2.1.1 Where an Academic Offences Officer makes a decision under regulations 8.4.1 (iii) or 8.5.1(iii), the Responding Student may appeal to the Academic Offences Committee. Appeals may be made on one or both of the following grounds:
Substantial and relevant new evidence has become available which the Responding Student could not reasonably have obtained in time to present for consideration by the Academic Offences Officer, which has had a material effect on the outcome, making it unsound.
There was a procedural irregularity in the conduct of the investigation and/or in the decision of the Academic Offences Officer which has had a clear and demonstrable impact on the outcome.
9.2.1.2 Dissatisfaction with the decision of the Academic Offences Officer does not itself constitute grounds of appeal.
9.2.1.3 There is no right of appeal against the decision of the Academic Offences Officer to refer the case to an Academic Offences Committee, or against a finding of poor academic practice.Zobacz oficjalne źródło ↗Zebrano: 2026-10-09 · 257–263
SHA-256: fbf0bf27372447427611662b6c4a776c6ef98e3187f3faca9179c0525fbf25a5
Interpretacja serwisu
Committee penalties have their own appeal grounds and evidence sifting. Students appealing suspension/withdrawal normally continue study, subject to interim measures and Head of School refusal where warranted; external/clinical placements remain excluded. Finality is within the internal route.
Zakres: Students in the cited programme/course/stage only · Only the captured source, version, audience and conditions; no exhaustive currency certification.
Zakres: Students in the cited programme/course/stage only · university
Qualified continuation, not unconditional stay or placement permission.
11. Appeals to an Academic Offences Appeals Committee Against the Decision of the Academic Offences Committee
11.1 Grounds of Appeal
11.1.1. Responding Students who have a penalty imposed by an Academic Offences Committee may appeal to the Academic Offences Appeals Committee. Appeals may be made on one or both of the following grounds:
Substantial and relevant new evidence has become available which the Responding Student could not have reasonably obtained in time to present for consideration by the Academic Offences Committee, which has had a material effect on the outcome, making it unsound.
There is evidence of a procedural irregularity in the conduct of the investigation and/or the conduct of the Academic Offences Committee proceedings, which has had a clear and demonstrable impact on the decision.
11.1.2 Dissatisfaction with the decision of the Academic Offences Committee does not itself constitute grounds of appeal.
11.1.3 There is no right of appeal against a finding of poor academic practice.
11.2 Sifting and Review
11.2.1 The onus is on the Responding Student to present sufficient evidence and /or a sufficiently compelling case to warrant consideration of their appeal under these Regulations.
11.2.2 Where it is not clear that the evidence presented is sufficient or that the case is sufficiently compelling, the appeal against the decision of the Academic Offences Committee will be considered in accordance with Regulation 9.2.2.
11.3 Study Pending Appeal
11.3.1 With the exception of relevant interim measures, Responding Students who submit an appeal against a decision to suspend or withdraw them from the University, may normally continue to attend their programme of study pending the outcome of the appeal.
11.3.2 Where circumstances merit it, the Head of School may refuse permission for the Responding Student to attend classes and/or take or submit assessments pending the appeal.
11.3.3 Students who have submitted an appeal against a decision to suspend or withdraw them from the University may not participate in external or clinical placements pending the outcome of an appeal.
11.4 Decision of the Academic Offences Appeals Committee
11.4.1 The Academic Offences Appeals Committee will decide either:
To uphold the appeal in full or in part, and either rescind the penalty imposed by the Academic Offences Committee, or impose a different penalty, which shall not be more severe than the penalty given by the Academic Offences Committee (as permitted under regulation 10); or
To dismiss the appeal and confirm the penalty imposed by the Academic Offences Committee.
11.4.2 The decision of the Academic Offences Appeals Committee shall be final and there is no further internal right of appeal.Zobacz oficjalne źródło ↗Zebrano: 2026-10-09 · 300–318
SHA-256: fbf0bf27372447427611662b6c4a776c6ef98e3187f3faca9179c0525fbf25a5
Interpretacja serwisu
Decisions are normally communicated within eight working days of being made; the student is informed if this cannot be met. This is a university notification target. Late appeals require evidenced circumstances beyond the student’s control, and academic-offence/appeal cases crossing years use the rules at the time of the assessment.
Uczelnia · normally
W podanym terminie. Początek terminu, zakres i wyjątki sprawdź w podsumowaniu oraz oryginale.
Zakres: Students in the cited programme/course/stage only · Only the captured source, version, audience and conditions; no exhaustive currency certification.
Zakres: Students in the cited programme/course/stage only · university
13. Decision Notification
Decisions made under the University Regulations and Procedures relating to Academic Appeals, Conduct, Academic Offences, Student Complaints and Fitness to Practise will normally be communicated to the student within eight working days of the decision being made. Where it is not possible for the University to meet this deadline, for whatever reason, the student will be informed.
14. Late Appeals/Complaints
Appeals or complaints received after the specified deadline will not be considered unless the student can evidence circumstances beyond their control (e.g. hospitalisation) which meant that they were unable to submit their appeal/complaint by the relevant deadline.
15. Relevant Regulations/Procedure
15.1 For Conduct, Student Complaints and Fitness to Practise: In the event that a case extends over more than one academic year, the applicable University regulations and/or procedures shall be those in place at the time when the case was first instigated.
15.2 For academic appeals and academic offences: In the event that an appeal extends over more than one academic year, the relevant University regulations and/or procedures shall be those in place at the time when the relevant assessment was taken by the student.Zobacz oficjalne źródło ↗Zebrano: 2026-10-09 · 170–176
SHA-256: 843dd7a167149404ebbef291808033492113e288f757df57692dc1deeedfe580
Interpretacja serwisu
The captured 2025-26 QUB assessment PDF says text-based AI detectors cannot definitively identify authorship and have unacceptable false positives; their use is not recommended. This is not a blanket detector prohibition or certification of every current product.
Zakres: Students in the cited programme/course/stage only · Only the captured source, version, audience and conditions; no exhaustive currency certification.
Zakres: Students in the cited programme/course/stage only · university
Not recommended modality and dated scope preserved.
Use of AI detection tools
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. Such systems often produce an unacceptably high rate of false positives. Alongside
this, AI capabilities are broadly integrated within many writing tools.
Considering these factors, the use of text-based AI detectors is not recommended. See QUB
guidance on the use of AI detection tools.Zobacz oficjalne źródło ↗Zebrano: 2026-10-09 · 34–42
SHA-256: 70c619e6e4a9f10a1ff205dfeac14ff6a69cb754edaf72bec26c5e51e86e1ddc
Opublikowane uzupełnienia oparte na źródłach. Podsumowania angielskie i oryginalne cytaty są oddzielone od sprawdzonego rejestru. Możliwe procedury i wyniki nie oznaczają automatycznych kar za AI. Aktualne zastosowanie nie zostało niezależnie potwierdzone; sprawdź zakres i wersję źródła.
Porównano z zapisanym tekstem; tłumaczenie nieoficjalne
Skróty pozwalają porównać zapisane teksty; nie potwierdzają ich aktualności ani niezmienności. Tematy nie tworzą obowiązkowej sekwencji.
Dostęp do narzędzia nie oznacza zgody na użycie go w ocenianej pracy. Sprawdź zasady zadania, uprawnionych użytkowników i ograniczenia danych.
Zapis archiwalny; sprawdź aktualny dostęp w oficjalnym źródle. Informacje o dostępie i cytaty zachowują język oryginału.
Oryginalny cytat
To use Copilot, please log in using your @qub.ac.uk email address.Oryginalny cytat
To use Copilot, please log in using your @qub.ac.uk email address.Oryginalny cytat
Copilot Chat is supported officially on Microsoft Edge and Chrome (using the latest Stable Channel update).Oryginalny cytat
Copilot Chat is supported officially on Microsoft Edge and Chrome (using the latest Stable Channel update).Oryginalny cytat
You can also use your QUB credentials to access Gemini Notebook.Oryginalny cytat
Queen's University Belfast provides staff and students with access to Google Gemini Edu and Gemini Notebook using their QUB email and password credentials, providing a secure version of Gemini.Oryginalny cytat
Queen's staff and students also have access to a Google Gemini Edu by logging in with your QUB email and password, providing you with a secure version of Gemini.Oryginalny cytat
Queen’s staff and students have access to Google Gemini Edu and Gemini Notebook using QUB email credentials.Oryginalny cytat
Queen's University Belfast provides all staff and students with access to Microsoft Copilot Chat as an approved secure AI tool using their @qub.ac.uk email address, which provides Enterprise Data Protection ensuring conversations are not used to train public models.Oryginalny cytat
All Queen’s University staff and students have access to Microsoft Copilot Chat, providing a secure AI tool to support learning, study, and academic tasks.Oryginalny cytat
All Queen’s University staff and students have access to Microsoft Copilot Chat with Enterprise Data Protection when logging in with @qub.ac.uk email.Oryginalny cytat
Queen's tools guidance identifies Microsoft Copilot Chat as available for Queen's University faculty and staff using a @qub.ac.uk email login.Oryginalny cytat
Microsoft Copilot Chat is available for use by Queens University Faculty and staff.Oryginalny cytat
Microsoft Copilot Chat is available for Queen’s faculty and staff with a @qub.ac.uk login.Microsoft-Copilot-powered website information assistant. It cannot access Qsis/Canvas or transact and users must not submit personal details; it is not an assessment-permission authority.
Use the QUB website help chatbot described by Information Services.
No separate price established.
Data weryfikacji uzupełnienia:
Oryginalny cytat
We're delighted to introduce you to our chatbot.
Our chatbot is your AI companion designed to enhance your website experience and provide helpful responses.
Powered by Microsoft Copilot, an advanced language model, our chatbot operates 24/7 to understand and respond to your queries. To ensure you get the most out of your interaction, please take a moment to familiarise yourself with the following guidance.
Setting Expectations
Important: Our chatbot will often use AI to generate an answer, so surprises and mistakes are possible. Please share feedback so we can improve! The following tips may help when interacting with the chatbot:
Keep it simple: While our chatbot is powerful, it's Oryginalny cytat
essential to understand that it may not have information on extremely niche or specialised topics. In the case that the chatbot is unable to help and you need staff assistance, please get in touch with the appropriate team or department. Department contact details should be available from most department websites.
Rephrase: If the chatbot is unable to provide a satisfactory response, consider rephrasing your question.
Start over: If you feel that the conversation is stuck, try asking to 'start over' or close the chat and open a new chat.
Limitations
The chatbot is designed to assist you by searching through the QUB website, documents, and a question-and-answer bank to provide information Oryginalny cytat
promptly. However, it's important to note that the chatbot has limitations.
What the chatbot can’t do:
Personal information: The chatbot cannot access or retrieve sensitive or personal information such as your login details. Please DO NOT submit any personal details to the chatbot unless prompted by a live agent. Should you require further support, you can create a support request on SiteHelpDesk or a Service Request on Queen's Portal.
Other systems: The chatbot is currently unable to access other systems such as Qsis or Canvas to provide or change details. This includes, for example, retrieving or editing personal details or booking information.
Transactions: The chatbot is currently not Oryginalny cytat
equipped for processing transactions or completing financial activities.
Engage in conversations outside scope: The chatbot is programmed for specific queries within its designated domain and may not be able to engage in open-ended conversations.Reviewed record
Zweryfikowane stwierdzenia: 15
Academic Integrity
Wartość znormalizowana: module-level clarification for AI use in assessment
Oryginalny dowód
Dowód 1This 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.
Widok lokalny only
Module staff clarify if and how AI may be used; students should ask tutors if unsure.
Academic Integrity
Wartość znormalizowana: AI misuse subject to academic misconduct regulations
Oryginalny dowód
Dowód 1Students 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 .
Widok lokalny only
AI misuse in assessment is linked to the University’s academic misconduct regulations.
Nauczanie
Wartość znormalizowana: RAISE principles frame staff and student AI guidance
Oryginalny dowód
Dowód 1This 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.
Widok lokalny only
QUB describes its staff and student AI guidance as based on Responsible use, AI best practice, Integrity, Support and Equitable Access.
Nauczanie
Wartość znormalizowana: student AI support resources available
Oryginalny dowód
Dowód 1These 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
Widok lokalny only
The student support page lists guides for AI academic success, generative AI in studies, citing AI, and the Student RAISE guide.
Prywatność
Wartość znormalizowana: ethical judgment and permission before submitting data to AI tools
Oryginalny dowód
Dowód 1When 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.
Widok lokalny only
Users are told to judge whether they have permission before submitting information to AI tools.
Prywatność
Wartość znormalizowana: listed AI tools for exploration with publicly available data only
Oryginalny dowód
Dowód 1Users 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.
Widok lokalny only
The tools page limits listed AI tools to exploration with publicly available data.
Badania
Wartość znormalizowana: research AI guidance scope
Oryginalny dowód
Dowód 1This 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.
Widok lokalny only
The research guidance applies to Queen’s researchers across the research lifecycle.
Badania
Wartość znormalizowana: document acknowledge and validate material AI use in research
Oryginalny dowód
Dowód 1All 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.
Widok lokalny only
Material research AI use should be documented and acknowledged, and AI-generated content validated.
Badania
Wartość znormalizowana: AI use involving participants or sensitive data in ethics applications
Oryginalny dowód
Dowód 1Researchers 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.
Widok lokalny only
AI use with human participants, personal data, or sensitive information must be outlined in ethics applications.
Badania
Wartość znormalizowana: do not present AI responses as own in research
Oryginalny dowód
Dowód 1Whilst 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.
Widok lokalny only
The Research Integrity page says not to present AI responses as your own and to be clear, open, and transparent.
Ai Tool Treatment
Wartość znormalizowana: {"tool":"institutional_ai_service","rawToolName":"QUB Chatbot","description":"Queen's University Belfast's website chatbot is an AI companion powered by Microsoft Copilot.","howToObtain":"Use the chatbot on the University website.","costToUser":"Not specified by the cited source.","availability":"not_mentioned","endorsementType":"not_specified"}
Oryginalny dowód
Dowód 1Our chatbot is your AI companion designed to enhance your website experience and provide helpful responses. Powered by Microsoft Copilot, it operates 24/7 to understand and respond to your queries.
Widok lokalny only
Our chatbot is your AI companion designed to enhance your website experience and provide helpful responses. Powered by Microsoft Copilot, it operates 24/7 to understand and respond to your queries.
Ai Tool Treatment
Wartość znormalizowana: Copilot Chat with Enterprise Data Protection available to all staff and students with QUB login
Oryginalny dowód
Dowód 1All Queen’s University staff and students have access to Microsoft Copilot Chat, providing a secure AI tool to support learning, study, and academic tasks. To use Copilot, please log in using your @qub.ac.uk email address. Logging in this way provides Enterprise Data Protection, and means that your conversations are not used to train public models. Copilot Chat is supported officially on Microsoft Edge and Chrome (using the latest Stable Channel update).
Widok lokalny only
All Queen’s University staff and students have access to Microsoft Copilot Chat with Enterprise Data Protection when logging in with @qub.ac.uk email.
Ai Tool Treatment
Wartość znormalizowana: Google Gemini Edu and Gemini Notebook available to staff and students with QUB credentials
Oryginalny dowód
Dowód 1Queen's staff and students also have access to a Google Gemini Edu by logging in with your QUB email and password, providing you with a secure version of Gemini. You can also use your QUB credentials to access Gemini Notebook.
Widok lokalny only
Queen’s staff and students have access to Google Gemini Edu and Gemini Notebook using QUB email credentials.
Ai Tool Treatment
Wartość znormalizowana: text-based AI detectors not recommended
Oryginalny dowód
Dowód 1Current 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.
Widok lokalny only
The assessment page says current AI text detectors cannot definitively identify AI-authored content and are not recommended.
Ai Tool Treatment
Wartość znormalizowana: Copilot Chat available to faculty and staff with QUB login
Oryginalny dowód
Dowód 1Microsoft 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).
Widok lokalny only
Microsoft Copilot Chat is available for Queen’s faculty and staff with a @qub.ac.uk login.
Source record
Źródła: 10
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blogs.qub.ac.uk
qub.ac.uk
blogs.qub.ac.uk
qub.ac.uk
blogs.qub.ac.uk
blogs.qub.ac.uk
blogs.qub.ac.uk
blogs.qub.ac.uk
blogs.qub.ac.uk
Citation: University AI Policy Tracker. "Queen's University Belfast AI Policy Tracker record." Last checked September 19, 2026. https://eduaipolicy.org/universities/queens-university-belfast
Original university source language remains canonical. This tracker is not an official university statement.
Otwórz dziennik zmianSaved from University AI Policy Tracker. This record summarizes the cited sources; it is not an official university statement or assessment permission. Source and review dates are listed above. Hashes identify retained content, not authorization.