University of Winchester AI Policy

PrivateLast Updated: February 2026

Academic IntegrityInstitutional & AdministrativeResearchTeaching & Learning
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Policy Coverage
83%10 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.
Active
Detection
The university has mechanisms in place to detect unauthorized AI use.
Strategy Set
Governance
A formal AI governance strategy or institutional framework has been defined.
POLICY OVERVIEW

AI Policy Summary

University of Winchester has defined AI policies across 10 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 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 Required
  • For summative assessed work, any permitted use must be referenced by the student
  • The university prohibits students from using generative AI or other technology to generate assessed work on their behalf or to materially improve their academic work, unless the assessment guidance specifically approves and directs that use

1.4 All students are expected to develop their skills and, where directed, may use appropriate emerging technologies and resources in the course of their learning. What is not acceptable is the use of generative artificial intelligence (AI), other technology or resources to generate work on behalf of the student. This includes the use of technology to materially improve students’ own academic work.

Every student, when submitting work, confirms that the work is their own and in doing so is affirming that they have created the work themselves unless specific reference to the use of technology or other resources has been approved and directed within the assessment guidance and accordingly referenced by the student.

U2Examinations & Assessments
AI Prohibited in ExamsIntegrity Code Applies
  • The university treats unauthorized AI or other technological assistance in assessments as academic misconduct
  • It also defines cheating as obtaining an unfair advantage in an assessment by breaching assessment regulations or procedures

academic assignment in circumstances in which a reasonable person should have known such aid was not permitted. We recognise and include here that new technological and commercial aids and services continually emerge that, if used as aids against the principles of academic integrity above, would be considered as breaches for investigation under these procedures.

c. Cheating is defined as using deceitful or fraudulent means to obtain an unfair advantage in an assessment, for instance by bringing unauthorised materials into an exam venue, or breaching University regulations, policies or procedures relating to assessments

U3Learning & Study Assistance
AI Restricted
  • The university allows students to use appropriate emerging technologies in the course of their learning when directed
  • However, it prohibits using generative AI to generate work for the student or materially improve the student's academic work

1.4 All students are expected to develop their skills and, where directed, may use appropriate emerging technologies and resources in the course of their learning. What is not acceptable is the use of generative artificial intelligence (AI), other technology or resources to generate work on behalf of the student. This includes the use of technology to materially improve students’ own academic work.

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 university does not set an AI-specific rule for research data or analysis in the provided sources
  • It does require research to maintain validity and accuracy in data collection and reporting, and it recommends that researchers produce a data management plan so data is stored consistently and securely

The University expects its staff and students to maintain integrity and high ethical standards in the conduct of research and to ensure validity and accuracy in the collection and reporting of funding, regardless of how the activity is funded.

It is recommended that you produce a data management plan (DMP) prior to beginning research, to ensure that data is consistently and securely stored.

U7Research Ethics & Integrity
Ethics Framework Active
  • For staff investigating or researching generative AI, the activity must be registered with ethics panels, Heads of Department, and Knowledge & Digital Services
  • More generally, the university requires staff, researchers, and students to maintain integrity and high ethical standards in research, and it expects researchers to follow employer and funder policies on research integrity

Technologies like generative artificial intelligence should only be used in line with the Guidelines that have been issued for students and academic staff. If members of staff are investigating or researching these areas, it should be registered with ethics panels, Heads of Department, and Knowledge & Digital Services.

The University expects its staff and students to maintain integrity and high ethical standards in the conduct of research and to ensure validity and accuracy in the collection and reporting of funding, regardless of how the activity is funded.

Ensure researchers act in accordance with employer and funder policies related to research integrity.

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Academic Integrity

U8Disclosure & Attribution Requirements
Disclosure MandatoryCitation Required
  • The policy also treats unacknowledged use of AI services as plagiarism and states that sources may include Artificial Intelligence
  • For assessed work, students must reference any use of technology or other resources when that use has been specifically approved and directed in the assessment guidance

Every student, when submitting work, confirms that the work is their own and in doing so is affirming that they have created the work themselves unless specific reference to the use of technology or other resources has been approved and directed within the assessment guidance and accordingly referenced by the student.

a. Plagiarism is the act of using someone else’s work, ideas or words without giving them appropriate acknowledgement. It can be in the form of verbatim or near-verbatim copying or paraphrasing without acknowledgement, from published or unpublished material which is the intellectual property of another, including the work of other students and Artificial Intelligence services, regardless of whether the work was used with or without permission from the author.

Sources may include Artificial Intelligence and an indicative list of these can be found on the University intranet.

U9Detection & Enforcement
Penalties Defined
  • The university states that it may use technology to help identify suspected misuse of resources and confirm authentic authorship of students' work
  • Undisclosed or prohibited AI use can be investigated as academic misconduct, and sanctions can include marks of zero, failure and retake, delayed research-degree progression, termination in some research cases, and unusable data or results obtained up to that point

The University will always seek to maintain the highest possible academic standards and is within its authority to utilise technology to assist in the identification of cases where misuse of resources is suspected. These include, but are not limited to, mechanisms to confirm authentic authorship of students’ work.

3.3 If there is a record of a previous referral to Additional Academic Learning, the issue will be investigated as academic misconduct. Students should be very clear that having had the opportunity to undertake Additional Academic Learning, any future proven instances of plagiarism could attract sanctions as previous instances will be taken into account when imposing penalties, and each instance at a higher level of sanction. (See section 5.6 and appendix 1 for examples of sanctions.)

Penalty 2: Marks of zero will be given for all assessments within the module, but second attempts will be given for capped marks where resubmission is possible

Penalty 3: Fail and retake module for capped marks (or substitute module if original module not available). Ethics breaches – student also required to restart process with new data/ethics documents or resubmit an amended Research Proposal/Ethics Form as appropriate where resubmission still available

Penalty 4: Research degree students will not be permitted to progress (including upgrading to PhD) until they have clearly evidenced that they have addressed the issues that have come to light and may in some cases have their programme terminated.

Any data, evidence or results collected/obtained up to that point cannot be used in any subsequently submitted thesis.

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Institutional & Administrative

U10Faculty & Staff Use
Staff Guidelines
  • The university says generative AI should only be used in line with guidelines issued for students and academic staff
  • It also states that if staff are investigating or researching these technologies, that work must be registered with ethics panels, Heads of Department, and Knowledge & Digital Services

2.12.All users are expected to be wary of using technologies which have not been made available by the University. Technologies like generative artificial intelligence should only be used in line with the Guidelines that have been issued for students and academic staff. If members of staff are investigating or researching these areas, it should be registered with ethics panels, Heads of Department, and Knowledge & Digital Services.

U11Institutional Data Protection & Approved AI Platforms
Approved Tools Listed
  • Sensitive data should not be accessed on open networks
  • The university requires caution with technologies not made available by the university, and says generative AI should only be used in line with issued guidelines
  • Employees may not develop, buy, subscribe to, or repurpose systems for processing personal data without authorization and approval from their head of department, and all new software and systems must be approved and procured through Knowledge and Digital Services

All users are expected to be wary of using technologies which have not been made available by the University. Technologies like generative artificial intelligence should only be used in line with the Guidelines that have been issued for students and academic staff.

Employees of the University must not do any of the following, without the proper authorisation and approval from their head of department:

a) Develop, purchase or subscribe to a new computer system/platform for processing personal data.

b) Use an existing computer system to process personal data for a newpurpose.

c) Create a new electronic or paper filing system, including spreadsheets’ containing personal data.

d) Use an existing electronic or paper filing system, including spreadsheets containing personal data for a new purpose.

All new software and systems must be approved and procured through Knowledge and Digital Services who will check for technical, security and data protection compliance.

If users are undertaking University work and only have access to “open” networks (for example those provided in public venues), activity should be limited as much as possible and sensitive data should not be accessed.

U12University AI Governance & Strategy
AI Strategy Defined
  • The provided sources do not set out a standalone university-wide AI strategy or roadmap
  • They do show governance controls in which generative AI use is tied to issued guidelines, and staff research into these areas must be registered with ethics panels, Heads of Department, and Knowledge & Digital Services

Technologies like generative artificial intelligence should only be used in line with the Guidelines that have been issued for students and academic staff. If members of staff are investigating or researching these areas, it should be registered with ethics panels, Heads of Department, and Knowledge & Digital Services.

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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