Queen Mary, University of London AI Policy

PrivateLast Updated: February 2026

Academic IntegrityInstitutional & AdministrativeResearchTeaching & Learning
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Policy Coverage
100%12 of 12
Prohibited
Coursework
This university prohibits AI tool usage for coursework and assignments unless explicitly authorized by the instructor.
Required
Disclosure
Students must formally disclose and cite any AI assistance used when submitting academic work.
Tools Active
Detection
The university employs AI detection software (such as Turnitin or similar tools) to identify AI-generated content in submissions.
Committee Active
Governance
The university has established a dedicated committee, task force, or working group to oversee AI governance.
POLICY OVERVIEW

AI Policy Summary

Queen Mary, University of London has defined AI policies across 12 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, Teaching & Learning. The university prohibits the use of AI tools in coursework unless explicitly permitted by instructors. Students are required to disclose and attribute AI-generated content in their academic work. The university employs detection and enforcement mechanisms for unauthorized AI use. Research-related AI policies address manuscript preparation, data analysis, research ethics. At the institutional level, the university has established guidelines for faculty and staff AI use, data protection and approved AI tools, AI governance strategy.

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Teaching & Learning

U1Coursework & Assignments
AI ProhibitedAttribution RequiredViolations Enforced
  • Students may use AI only where the assessment brief or module guidance explicitly allows it, and unauthorized use can be treated as academic misconduct
  • The university also states that students remain responsible for the accuracy and integrity of any submitted work and should not submit AI output as their own
  • For taught coursework, use of generative AI is not uniformly permitted or prohibited across the university; it depends on the assessment design and the module or programme guidance

Students need to be clear on the type of assessment they are undertaking. AI and GenAI in assessments should be signalled by the module convenor in module handbooks and briefings.

Where AI and GenAI are not permitted, such use may amount to plagiarism, collusion, or some other form of academic misconduct, and will be considered under Queen Mary’s Academic Integrity & Misconduct Policy.

For all AI tools there should be a clear statement indicating whether use of AI and GenAI is permitted, why and how.

QMUL Regulations require all students to explicitly declare use of AI and GenAI.

If you use AI generated text, code, or images in your submission, you remain accountable for the accuracy and appropriate use of that content.

As a student, you should not use GenAI to write your assignment for you and submit it as your own work.

The use of AI and GenAI in assessments is not a single university policy because each module and programme has different learning outcomes and methods of assessment.

Module and programme teams are expected to communicate to students which kinds of use of AI and GenAI are permitted in each assessment, and which kinds are not.

Students should only use AI and GenAI if the assessment brief allows it. If there is no mention, they should seek clarification from their module convenor or supervisor.

Unauthorised use of AI and GenAI tools in assessments may constitute academic misconduct, depending on the nature of the assessment and how the tools were used.

U2Examinations & Assessments
AI Prohibited in ExamsIntegrity Code Applies
  • Students must declare AI use when it is used in assessed work
  • Assessment information should explicitly state whether AI is allowed, why, and how; if AI is not permitted, use of it may be treated as academic misconduct
  • For assessments, including exams and other formal assessments, AI use is determined at module or programme level rather than by a single university-wide permission rule

Students need to be clear on the type of assessment they are undertaking. AI and GenAI in assessments should be signalled by the module convenor in module handbooks and briefings.

Where AI and GenAI are not permitted, such use may amount to plagiarism, collusion, or some other form of academic misconduct, and will be considered under Queen Mary’s Academic Integrity & Misconduct Policy.

For all AI tools there should be a clear statement indicating whether use of AI and GenAI is permitted, why and how.

QMUL Regulations require all students to explicitly declare use of AI and GenAI.

The use of AI and GenAI in assessments is not a single university policy because each module and programme has different learning outcomes and methods of assessment.

Assessment information and briefs should specify whether and how AI and GenAI may be used.

If AI use is not allowed, using it may be treated as academic misconduct under Queen Mary policy.

U3Learning & Study Assistance
AI Encouraged for Study
  • The guidance encourages using AI to support learning while avoiding direct submission of AI-produced work as one's own
  • Students are warned to evaluate outputs critically because AI can be inaccurate or biased, and they remain responsible for how they use the material
  • The university allows students to use AI as a learning support tool for idea generation, explanation, and study support, but frames this as assistance rather than a substitute for their own work

AI can be useful for brainstorming, generating ideas, explaining concepts, and giving feedback on drafts.

AI can make mistakes, invent references, and reflect bias.

You should think critically about any AI output and check it carefully.

As a student, you should not use GenAI to write your assignment for you and submit it as your own work.

If you use AI generated text, code, or images in your submission, you remain accountable for the accuracy and appropriate use of that content.

U4Code Generation & Programming
Code Policy DefinedAttribution Required
  • The university explicitly includes code among AI-generated content for which students retain responsibility
  • Students must declare AI use, remain accountable for submitted code, and unauthorized use in assessments may be treated as academic misconduct
  • For student coding work, the university does not set a blanket university-wide permission rule; use of AI-generated code depends on the assessment brief or module guidance

If you use AI generated text, code, or images in your submission, you remain accountable for the accuracy and appropriate use of that content.

QMUL Regulations require all students to explicitly declare use of AI and GenAI.

Students should only use AI and GenAI if the assessment brief allows it. If there is no mention, they should seek clarification from their module convenor or supervisor.

Unauthorised use of AI and GenAI tools in assessments may constitute academic misconduct, depending on the nature of the assessment and how the tools were used.

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Research

U5Research Writing & Manuscript Preparation
AI Writing Permitted
  • AI tools cannot be credited as authors, and researchers remain responsible for the final content
  • For postgraduate researchers, the university warns that thesis or written work requirements may differ by school or supervisor, so local guidance must be checked
  • For research writing, Queen Mary permits AI tools to assist with drafting or language support only if researchers use them transparently, verify outputs, and comply with publisher, funder, and disciplinary requirements

Researchers remain fully responsible for the accuracy, integrity, originality and attribution of all content in manuscripts, reports, theses and other outputs, regardless of whether AI tools have been used.

AI tools should not be listed as authors.

You should check funder, publisher, journal, disciplinary and supervisory requirements before using AI tools in writing.

Any use of AI in the preparation of written research outputs should be acknowledged where required by the relevant publisher, funder, school or supervisor.

PGRs should check local guidance from their School/Institute and supervisors on whether and how AI tools may be used in thesis writing and related academic work.

You are responsible for any text you submit, even if it was generated or edited using AI.

Do not assume that use of AI in written work is automatically permitted; requirements may vary by context.

U6Research Data & Analysis
AI Analysis PermittedHuman Oversight Required
  • The university emphasizes that researchers remain responsible for the quality and integrity of analytical work produced with AI assistance
  • In research data and analysis, AI use is allowed only with careful human oversight and subject to research governance and data protection requirements
  • Researchers are expected to validate outputs, assess bias and reliability, and ensure that confidential, personal, or sensitive data are not entered into public AI systems unless formally approved

Researchers remain fully responsible for the accuracy, integrity, originality and attribution of all content in manuscripts, reports, theses and other outputs, regardless of whether AI tools have been used.

Outputs from AI tools must be checked carefully for accuracy, bias, fabrication and appropriateness.

Researchers must not upload confidential, personal, commercially sensitive or otherwise restricted data into publicly accessible AI tools unless appropriate approvals, safeguards and legal bases are in place.

Use of AI in research must comply with data protection, confidentiality, contractual and ethical obligations.

You should consider the provenance, reliability and limitations of AI-generated outputs before using them in analysis or interpretation.

U7Research Ethics & Integrity
Ethics Framework Active
  • Queen Mary requires AI use in research to comply with research integrity, ethics, confidentiality, and legal obligations
  • The guidance also restricts inputting sensitive research information into public AI systems without appropriate approval and safeguards
  • Researchers must not delegate responsibility for ethical or scholarly judgment to AI tools, and they must disclose AI use where required by funders, publishers, supervisors, or other governance processes

Use of AI in research must comply with data protection, confidentiality, contractual and ethical obligations.

Researchers remain fully responsible for the accuracy, integrity, originality and attribution of all content in manuscripts, reports, theses and other outputs, regardless of whether AI tools have been used.

Researchers must not upload confidential, personal, commercially sensitive or otherwise restricted data into publicly accessible AI tools unless appropriate approvals, safeguards and legal bases are in place.

Any use of AI in the preparation of written research outputs should be acknowledged where required by the relevant publisher, funder, school or supervisor.

PGRs should check local guidance from their School/Institute and supervisors on whether and how AI tools may be used in thesis writing and related academic work.

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Academic Integrity

U8Disclosure & Attribution Requirements
Disclosure MandatoryCitation Required
  • The university requires students to explicitly declare use of AI and generative AI in assessed work
  • In both teaching and research contexts, the user remains responsible for the content even when AI assistance has been used
  • It also expects acknowledgment of AI use in research writing where required by publishers, funders, schools, or supervisors

QMUL Regulations require all students to explicitly declare use of AI and GenAI.

For all AI tools there should be a clear statement indicating whether use of AI and GenAI is permitted, why and how.

Any use of AI in the preparation of written research outputs should be acknowledged where required by the relevant publisher, funder, school or supervisor.

Researchers remain fully responsible for the accuracy, integrity, originality and attribution of all content in manuscripts, reports, theses and other outputs, regardless of whether AI tools have been used.

U9Detection & Enforcement
Detection Tools UsedIntegrity Process
  • Enforcement is therefore defined through misconduct procedures rather than a detailed detection-tool policy in the supplied texts
  • Queen Mary states that unauthorized AI use in assessments may be handled as academic misconduct under its academic integrity procedures
  • The policy links prohibited AI use to plagiarism, collusion, or other misconduct categories, but the provided sources do not define a university-wide position on specific AI detection tools

Where AI and GenAI are not permitted, such use may amount to plagiarism, collusion, or some other form of academic misconduct, and will be considered under Queen Mary’s Academic Integrity & Misconduct Policy.

Unauthorised use of AI and GenAI tools in assessments may constitute academic misconduct, depending on the nature of the assessment and how the tools were used.

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Institutional & Administrative

U10Faculty & Staff Use
Staff Guidelines
  • Staff are advised to design assessments intentionally in relation to AI and to provide explicit guidance in briefs and module materials
  • The supplied sources do not provide a detailed university-wide rule on staff use of AI for grading, recommendation letters, or administrative communications
  • For educators, Queen Mary permits use of AI in teaching and assessment design but expects clear communication to students about whether AI is allowed in each assessment and on what terms

AI and GenAI in assessments should be signalled by the module convenor in module handbooks and briefings.

For all AI tools there should be a clear statement indicating whether use of AI and GenAI is permitted, why and how.

Assessment information and briefs should specify whether and how AI and GenAI may be used.

Module and programme teams are expected to communicate to students which kinds of use of AI and GenAI are permitted in each assessment, and which kinds are not.

U11Institutional Data Protection & Approved AI Platforms
Approved Tools ListedData Protection ActiveUnapproved AI Blocked
  • The provided sources do not identify a university-wide list of approved AI platforms
  • This establishes a clear data protection condition on AI use, particularly in research contexts
  • The university prohibits entering confidential, personal, commercially sensitive, or otherwise restricted research data into publicly accessible AI tools unless appropriate approvals, safeguards, and legal bases are in place

Researchers must not upload confidential, personal, commercially sensitive or otherwise restricted data into publicly accessible AI tools unless appropriate approvals, safeguards and legal bases are in place.

Use of AI in research must comply with data protection, confidentiality, contractual and ethical obligations.

U12University AI Governance & Strategy
Governance Body ActiveAI Strategy Defined
  • A distinct overarching AI strategy, committee structure, or adoption roadmap is not defined in the provided sources
  • The provided materials show governance through local assessment rules, academic integrity procedures, and research compliance requirements
  • Queen Mary has institution-level guidance that frames AI use through assessment design principles, research integrity expectations, and student guidance rather than a single unified university AI strategy in the supplied texts

The use of AI and GenAI in assessments is not a single university policy because each module and programme has different learning outcomes and methods of assessment.

Use of AI in research must comply with data protection, confidentiality, contractual and ethical obligations.

QMUL Regulations require all students to explicitly declare use of AI and GenAI.

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Disclaimer:* All university AI policy information presented on this platform is compiled from publicly available information, official university websites, and related academic sources. This data reflects information available at the time of last verification as on 27th February 2026. University and institution names referenced on this platform are the property and trademarks of their respective institutions. Their inclusion does not imply any affiliation with, endorsement by, or partnership with those institutions. Policy coverage scores and categorical indicators are automated assessments derived from available documentation and are provided for informational and comparative purposes only. They do not constitute legal, academic, or compliance advice. Users are advised to exercise their own judgement and independently verify all policy information directly with the respective university before making any academic or institutional decisions. For any queries or corrections, please contact us at support@trinka.ai