Chester University AI Policy

PrivateLast Updated: February 2026

Academic IntegrityInstitutional & AdministrativeResearchTeaching & Learning
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Policy Coverage
83%10 of 12
Permitted
Coursework
This university allows students to use AI tools in coursework, subject to course-level guidelines set by instructors.
Required
Disclosure
Students must formally disclose and cite any AI assistance used when submitting academic work.
Active
Detection
The university has mechanisms in place to detect unauthorized AI use.
Committee Active
Governance
The university has established a dedicated committee, task force, or working group to oversee AI governance.
POLICY OVERVIEW

AI Policy Summary

Chester University has defined AI policies across 10 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, Teaching & Learning. AI tools are generally permitted in coursework, subject to instructor guidelines. 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 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 PermittedAttribution Required
  • Unacknowledged AI use in assessment is treated as a breach of academic conduct
  • If AI is used, students must identify the parts created with AI and describe how the tool was used
  • Students may use AI in assessed work only when tutors indicate it is helpful or when it is included in the assessment brief

Y ou should only use an artificial intelligence tool to support you in the preparation of work for assessment where your tutors have indicated that its use might be helpful or where it is part of the assessment brief.

If you do use an artificial intelligence tool, you must clearly show which parts of your work have been created by using it and you must describe how you have used the tool.

Unacknowledged use of Artificial Intelligence: Where artificial intelligence has been used to support the assessment without proper acknowledgement.

U2Examinations & Assessments
General Policy AppliesIntegrity Code Applies
  • The university addresses AI use in assessments through the same permission-and-disclosure rules that apply to assessed work generally
  • It also treats failure to follow examination regulations as academic misconduct, and misuse or non-disclosure of AI in assessed work can lead to serious penalties

As a brand-new student at the University of Chester, it is important you have a good understanding of Artificial Intelligence to bolster your digital literacy and to better understand our guidelines regarding using Artificial Intelligence (AI) in your assessments:

Y ou should only use an artificial intelligence tool to support you in the preparation of work for assessment where your tutors have indicated that its use might be helpful or where it is part of the assessment brief.

If you misuse an artificial intelligence tool or fail to declare the use of artificial intelligence in your work and you are later found to have breached the Academic Conduct Policy because of this, the penalties can be serious.

5.3.4. Failure to abide by the examination regulations

U3Learning & Study Assistance
AI Encouraged for Study
  • The university encourages students to build understanding of GenAI through its Moodle literacies module and presents this as part of responsible digital literacy development
  • It says students should use AI to support preparation for assessment only where tutors permit it or where the assessment brief allows it, and students should ask a tutor if unsure

Once you have received your official Welcome email, you’ll have access to the Generative Artificial (GenAI) Intelligence Literacies module on Moodle which aims to improve your understanding of these tools and provides guidance to help you make decisions about responsible use of the tools, if your assessment brief indicates that you are permitted to use them.

On this site you can also find helpful information on a range of associated topics, including prompt engineering, critically evaluating sources and the different types of GenAI tools available.

Gaining a wider, critical understanding of GenAI tools and their inputs and outputs, is useful to improve your digital skills and literacy and can help you to better understand responsible use of AI both at the university and later on in the workplace.

Please take the time to complete this module before you start any assessment and remember to check your assessment briefs to identify if you are permitted to use AI or ask a tutor if you are unsure.

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
Data Policy Defined
  • The academic conduct policy treats research misconduct, including falsification of data, as academic misconduct
  • It also defines falsification by AI as misrepresentation of knowledge where a student uses AI to complete an assessment in part or in full, and includes research cases where fabricated research was produced in part or full when setting penalties

Falsification by Artificial Intelligence: A misrepresentation of knowledge. Where a student used artificial intelligence to complete the assessment [in part or full].

5.3.3. Research misconduct. Including falsification of data

25.3. Where the proven allegation is one of;

Falsification; or

Falsification by use of artificial intelligence; or

Research misconduct, where there has clearly been no risk of harm to others, no risk to the reputation of the University AND the research was solely fabricated (in part or full); or

U7Research Ethics & Integrity
Ethics Framework Active
  • In the academic conduct policy, research misconduct includes failing to obtain ethical approval or comply with regulatory, legal, and professional obligations for research projects
  • The university states a general institutional commitment to research integrity through the Concordat to Support Research Integrity and identifies named contacts for research integrity and misconduct

The University of Chester is committed to fulfilling the principles of the Concordat to Support Research Integrity in order to create a framework for responsible research conduct and governance.

The Named Person in accordance with the Concordat to Support Research Integrity is Professor Paul Bissell, Pro Vice-Chancellor (Research & Innovation)

The Named Person in relation to the UKRIO Misconduct Investigation Procedure is Ian Britton (Academic Registrar)

Research misconduct: failure to obtain ethical approval for a research project or failure to comply with regulatory, legal and professional obligations for research projects.

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Academic Integrity

U8Disclosure & Attribution Requirements
Disclosure Mandatory
  • Disclosure of AI use in assessed work is required
  • Students must clearly identify which parts were created using AI and describe how the tool was used; if they are unsure whether AI is permitted, they are directed to university guidance explaining how to check permission and declare use

If you do use an artificial intelligence tool, you must clearly show which parts of your work have been created by using it and you must describe how you have used the tool.

If you are unsure about whether GenAI is permitted for use in your assessments, the Academic Conduct and GenAI Declaration tile on the GenAI Literacies Moodle module offers further guidance and step by step instructions about how to check whether you can use GenAI and how to declare its use.

Unacknowledged use of Artificial Intelligence: Where artificial intelligence has been used to support the assessment without proper acknowledgement.

U9Detection & Enforcement
Penalties Defined
  • Undisclosed or misused AI is enforced under the academic conduct process
  • The policy categorizes unacknowledged AI use as unacceptable academic practice and falsification by AI as academic misconduct
  • Staff who suspect a student has gained an unfair advantage must investigate and refer the matter to the Chair of the Module Assessment Board, and proven cases can result in penalties or a hearing before the University Academic Conduct Review Panel

If you misuse an artificial intelligence tool or fail to declare the use of artificial intelligence in your work and you are later found to have breached the Academic Conduct Policy because of this, the penalties can be serious.

If a member of staff suspects that a student may have sought to gain an unfair advantage [in their academic work] in some way, the matter should be investigated thoroughly and be brought to the attention of the Chair of the Module Assessment Board, who decides whether to put the allegation formally. If the allegation is put, the student is interviewed and a judgement reached about whether academic integrity has been breached.

The University resolves breaches of academic integrity through the application of a penalty in line with the procedures or by convening a meeting of the University Academic Conduct Review Panel to hear the case in more detail.

5.2.4. Unacknowledged use of Artificial Intelligence

5.3.7. Falsification by use of Artificial Intelligence

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Institutional & Administrative

U10Faculty & Staff Use
Staff Guidelines
  • One university guide notes that it was developed with the assistance of AI technologies, but this is an acknowledgement rather than a governing rule
  • The provided sources do not set a formal university policy for faculty or staff use of AI in grading, feedback, lesson planning, recommendation letters, or administrative communications

This guide from the Centre for Academic Innovation and Development (CAID) was developed by Dr Michelle

Cordingley (University Innovation Fellow) with the support of Professor Jackie Potter (Dean of Academic Innovation)

and Dr Katharine Welsh (University Innovation Fellow), with the assistance of AI technologies.

U11Institutional Data Protection & Approved AI Platforms
Approved Tools Listed
  • The provided sources do not define approved AI platforms or an AI-specific data classification scheme
  • The acceptable use policy does state that users may not make unauthorised distributions of proprietary university data and may not use university systems in ways that risk harm to the university

Beyond that you may not use our systems or resources to facilitate activity that is contrary to any codes of conduct that apply to your user class (examples are listed in the References section below), our Safeguarding policies, or that risks inflicting reputational damage or other harm upon the university, including but not limited to:

Unauthorised distribution of proprietary university data (including teaching materials)

U12University AI Governance & Strategy
Governance Body ActiveAI Strategy Defined
  • The sources do show a broader research integrity governance structure through the Concordat to Support Research Integrity and named institutional roles
  • The university provides student-facing AI guidance and a GenAI literacies module, but the provided sources do not set out a university-wide AI strategy, committee, or institutional AI roadmap

Once you have received your official Welcome email, you’ll have access to the Generative Artificial (GenAI) Intelligence Literacies module on Moodle which aims to improve your understanding of these tools and provides guidance to help you make decisions about responsible use of the tools, if your assessment brief indicates that you are permitted to use them.

The University of Chester is committed to fulfilling the principles of the Concordat to Support Research Integrity in order to create a framework for responsible research conduct and governance.

The Named Person in accordance with the Concordat to Support Research Integrity is Professor Paul Bissell, Pro Vice-Chancellor (Research & Innovation).

The Named Person in relation to the UKRIO Misconduct Investigation Procedure is Ian Britton (Academic Registrar).

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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