Royal Holloway, University of London AI Policy

PrivateLast Updated: February 2026

Academic IntegrityInstitutional & AdministrativeResearchTeaching & Learning
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Policy Coverage
42%5 of 12
Policy Set
Coursework
This university has a defined policy on AI use in coursework.
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.
Not Defined
Governance
No formal AI governance structure or strategy has been published.
POLICY OVERVIEW

AI Policy Summary

Royal Holloway, University of London has defined AI policies across 5 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, Teaching & Learning. AI use in coursework is addressed on a case-by-case basis, with policies set at the instructor level. 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.

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Teaching & Learning

U1Coursework & Assignments
Policy Defined
  • It specifically warns that AI use can fall under cheating, falsification, or plagiarism depending on how it is used
  • The university states that using AI to complete work and then presenting it as a student's own can be treated as academic misconduct

Artificial Intelligence (AI) can be used to support students with their work, and while the university recognises this, if AI is used to complete work and then a student tries to pass that work off as their own, then this could be investigated as academic misconduct.

The use of AI can therefore come under one of the offences above depending on how it was used:

• Cheating - using AI to complete work and then trying to pass it off as your own.

• Falsification - where a student submits work generated by AI and claims it as their own work.

• Plagiarism - where work generated by AI using content from other sources is not properly referenced.

U2Examinations & Assessments
General Policy AppliesIntegrity Code Applies
  • They discuss academic misconduct generally, but do not define an exam-specific AI policy
  • The provided sources do not give a specific AI rule for exams, quizzes, or formal assessments

not defined

U3Learning & Study Assistance
AI Encouraged for Study
  • Students are also reminded that understanding the work they submit remains their responsibility
  • The university says AI may be used to support students with their work, but warns students to use it carefully because it can produce inaccurate or biased outputs

Artificial Intelligence (AI) can be used to support students with their work, and while the university recognises this, if AI is used to complete work and then a student tries to pass that work off as their own, then this could be investigated as academic misconduct.

One of the risks with AI is that some systems can "hallucinate" and give inaccurate information or make up information all together. Systems can also be biased depending on where they source their information from.

You are expected to understand the work you submit, and the ideas and arguments you develop are your own.

U4Code Generation & Programming
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No policy defined yet
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Research

U5Research Writing & Manuscript Preparation
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No policy defined yet
U6Research Data & Analysis
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No policy defined yet
U7Research Ethics & Integrity
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No policy defined yet
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Academic Integrity

U8Disclosure & Attribution Requirements
Disclosure MandatoryCitation Required
  • The university requires students to reference material taken from AI-generated output and not present it as their own work
  • It also directs students to check module guidance and academic integrity resources to understand when AI use is acceptable and how to acknowledge it

• Plagiarism - where work generated by AI using content from other sources is not properly referenced.

What can I do to avoid academic misconduct concerns if I use AI in my studies?

Firstly, do not use AI generated text and then include it in your work as your own. If you use or paraphrase ideas from AI generated text then you need to reference it in the same way as any other source.

The Library has information on Generative AI and Referencing and there is online guidance on AI and Academic Integrity. Different courses or departments may have different guidance on how AI can be used or referred to - make sure to check this as well.

U9Detection & Enforcement
Detection Tools Used
  • Undisclosed or improper AI use may be investigated as academic misconduct
  • The sources characterize AI misuse as possible cheating, falsification, or plagiarism, but they do not specify AI detection tools

Artificial Intelligence (AI) can be used to support students with their work, and while the university recognises this, if AI is used to complete work and then a student tries to pass that work off as their own, then this could be investigated as academic misconduct.

The use of AI can therefore come under one of the offences above depending on how it was used:

• Cheating - using AI to complete work and then trying to pass it off as your own.

• Falsification - where a student submits work generated by AI and claims it as their own work.

• Plagiarism - where work generated by AI using content from other sources is not properly referenced.

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Institutional & Administrative

U10Faculty & Staff Use
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No policy defined yet
U11Institutional Data Protection & Approved AI Platforms
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No policy defined yet
U12University AI Governance & Strategy
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No policy defined yet

DocuMark: Responsible AI Use for Academic Integrity

Knowing your institution's AI policy is step one. DocuMark helps enforce it fairly by empowering universities to manage AI-generated content, prevent cheating, and support student writing through responsible AI use.

FREQUENTLY ASKED QUESTIONS

Common Questions About Royal Holloway, University of London's AI Policies

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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