Skip links

Using AI at Queen's

Overview

This section includes the Queen’s AI in Education Framework, and brings together tailored AI guidance for students at Queen’s. It includes recommendations for getting started with AI, using it effectively and responsibly, and understanding expectations for its use in assessment and other aspects of university study.

The new Queen’s AI in Education Framework sets out the University’s principles and expectations for the use of AI. It provides a framework for the ethical, responsible and appropriate use of AI across learning, teaching and assessment, helping students understand both the opportunities and responsibilities that come with using these technologies.

You will also find a guide to the RAISE principles, which underpin the guidance throughout this site: Responsible Use, AI Best Practice, Integrity, Support and Equitable Access. Together, these principles form RAISE and provide a practical framework for using AI in ways that support learning, encourage critical thinking, and promote academic development and responsible use.

Queen's University Belfast: AI in Education Framework

AI in Education Framework -  PDF

AI in Education Framework - PDF

AI in Education Framework: Student FAQs

Framework FAQs for Students

Framework FAQs for Students

QUB Student Guidance on the Use of Generative AI

RAISE Guidance - Student PDF

RAISE Guidance - Student PDF

Queen's AI Framework (2026/27)

If you would like to explore the Queen’s AI Framework in an alternative way, the following interactive resource highlights key takeaways. Click the menu items on the right to explore the resource and gain an overview of the key areas relevant for students. 

Using AI in Assessments

The Queen’s AI in Education Framework provides details on the level of permitted AI usage within assessments. The following categories indicate to what extent you can use AI to help you complete an assessment (if at all). 

AI use is explicitly prohibited for these assessments. This will typically apply when the purpose is to evaluate unaided student ability. We acknowledge that outright prohibition cannot be effectively enforced outside of controlled settings, and we expect that assessments within this Category will take place within a controlled environment. This need not be limited to closed-book exams and formats such as vivas or observed practical/lab-based tests are recommended. 

In this category, AI is positioned as a tool to actively enhance the learning process itself. Students are encouraged to use AI to deepen their understanding, explore ideas, and develop their skills. However, the core ideas, analysis, and final submission must be the student's own. The emphasis here is on AI as a means of strengthening learning, not simply producing outputs, ensuring that the assessment process itself contributes to student development. 

This category is expected to cover the majority of coursework. When AI is used under Category 2, assessment briefs should provide clear and specific guidance on 1) how and where AI may be used to support learning or preparation, and, 2) how and where AI may not be used, particularly where reliance on AI would undermine learning or otherwise would be detrimental to the student.  

In this category, AI use is required and forms part of the intended learning outcome. In these assessments, students are expected to engage with AI tools as part of completing the task, and will be evaluated on their ability to use them effectively, critically, and responsibly. The use of AI will be reflected in the assessment criteria, supporting the development of key skills in digital literacy and employability. 

Students are encouraged to use AI appropriately to support their learning. Acceptable use of AI will depend on the guidance provided by your lecturers and your school, and may differ depending on the assignment. As stated within the principles, those delivering modules will clarify if and how AI can be used when completing assessments. If students misuse AI, they will be subject to the University’s academic misconduct regulations. If you have any doubts about how AI can be used, please consult your tutors. It is always better to be sure than to take risks.

Other Key Guidance

AI Trailblazer's Guide, Volume II: AI as your Partner

Guidelines for the Use of Generative AI in Dissertation Projects

QUB Guidance on the use of AI Detection tools

Abstract AI banner