University of Buckingham 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.
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

University of Buckingham 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 Required
  • AI use in summative assignments is generally permitted unless the assessment brief or rubric explicitly prohibits it, but students must follow the university’s general AI guidance and check the rubric if unsure
  • The university permits limited assistance such as idea generation, structuring, grammar help, and planning, but prohibits using AI to generate complete assignments or whole sections, copy AI output directly, or replace the student’s own critical thinking and analysis

The University recognises the educational value of Generative Artificial Intelligence (GenAI) tools when

used appropriately. To ensure fairness and uphold academic standards, students must follow the

guidance below when using such tools. Unless explicitly prohibited in the assessment brief or rubric,

students should assume that the use of GenAI in summative assignments is permitted, but only in

line with the general guidance below. Always check the assessment rubric if unsure.

Typical acceptable uses (unless explicitly prohibited in the assessment brief or rubric):

• Generating ideas or outlines for a topic

• Summarising lecture notes for revision

• Improving grammar or clarity of self-written text

• Brainstorming structure or key points

Unacceptable uses (unless explicitly authorised in the assessment brief or rubric):

• Using GenAI to write whole sections of an assignment

• Copying and pasting material directly from GenAI

• Paraphrasing source material using AI to avoid citation

• Generating citations or references that were not read/verified

• Submitting AI-generated images or code as original work

AI shall not be used for the following purposes:

• Generating complete assignments, essays, or research papers.

• Substituting the critical thinking and analysis required in academic work.

• Any form of cheating or academic dishonesty as defined by the university's

Academic Integrity Policy and Procedures.

U2Examinations & Assessments
AI Prohibited in ExamsIntegrity Code Applies
  • The exam rules also require students to switch off and surrender unauthorised electronic devices, and invigilators may inspect or confiscate suspected smart devices
  • In examinations, unauthorised technology is prohibited, and use or possession of unauthorised material or technology during an examination is treated as academic misconduct

This includes the

possession or use of unauthorised material or technology

during an examination and accessing unseen assessment

materials in advance of an examination. For example, this

includes the circumvention of proctoring software such as

ExamSoft.

All other items and materials are unauthorised and are not permitted at the

examination desk or on or about the student’s person.

Students bringing electronic devices into the examination room must ensure that

alarms/ other sounds are cancelled and the device is switched off*. The use of any

type of alarm clock is prohibited.

Any item suspected of being an electronic or smart device—or an accessory to one—

may be inspected and, if necessary, confiscated by an invigilator. This includes, but is

not limited to, watches, Fitbits, pens, glasses, wristbands, and other wearable items.

Students must switch off and hand in mobile phones and other unauthorised electronic

devices, to a member of staff upon entering the examination room.

U3Learning & Study Assistance
AI Encouraged for Study
  • Students are required to use AI responsibly, check accuracy, and understand its limitations
  • The university permits students to use AI for non-graded study support such as revision, brainstorming, grammar support, planning, literature review, and sourcing materials

AI tools may include the following purposes:

• To assist and inform you with:

▪ Initial research, planning and output development.

▪ A literature review and sourcing academic materials.

▪ Structuring output

▪ Data analysis and interpretation in research

▪ Enhancing creativity and generating ideas

▪ Grammar and spell checking.

Understand the AI tool’s limitations and therefore use it in conjunction with other

sources to ensure the information you present is credible and reliable. You need to

check the accuracy of all information generated by AI tools.

Typical acceptable uses (unless explicitly prohibited in the assessment brief or rubric):

• Generating ideas or outlines for a topic

• Summarising lecture notes for revision

• Improving grammar or clarity of self-written text

• Brainstorming structure or key points

U4Code Generation & Programming
AI Coding AllowedAttribution Required
  • Beyond that restriction, no broader university-wide programming-specific AI rules are defined in the provided sources
  • The university states that submitting AI-generated code as original work is not allowed unless explicitly authorised in the assessment brief or rubric

Unacceptable uses (unless explicitly authorised in the assessment brief or rubric):

• Using GenAI to write whole sections of an assignment

• Copying and pasting material directly from GenAI

• Paraphrasing source material using AI to avoid citation

• Generating citations or references that were not read/verified

• Submitting AI-generated images or code as original work

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Research

U5Research Writing & Manuscript Preparation
Editing-Level Use AllowedDisclosure Required
  • The university prohibits AI from generating complete research papers, but allows more limited support such as literature review assistance, structuring, grammar and spelling help, and planning
  • Where AI-generated text or output is used, students must cite, reference, and clearly disclose where and how AI assistance was used; longer works such as dissertations should place the declaration in the methodology or appendix

AI tools may include the following purposes:

• To assist and inform you with:

▪ Initial research, planning and output development.

▪ A literature review and sourcing academic materials.

▪ Structuring output

▪ Data analysis and interpretation in research

▪ Enhancing creativity and generating ideas

▪ Grammar and spell checking.

Any use of AI must be properly referenced – see Appendix to this policy.

AI shall not be used for the following purposes:

• Generating complete assignments, essays, or research papers.

Ensure that you appropriately cite and reference any text or output generated by AI in

your work, along with any other sources you use. You should indicate clearly where

in your work you have used AI-generated material. This disclosure should include

the nature and extent of any AI assistance.

Any use of GenAI must be acknowledged. For short assignments, include a declaration at the end of the

document. For longer assessments such as dissertations or projects, this should be in the methodology

or appendix section.

U6Research Data & Analysis
AI Analysis PermittedHuman Oversight Required
  • The university permits AI for data analysis and interpretation in research, but requires users to verify accuracy and use AI alongside other sources
  • The academic integrity policy also treats falsified or fabricated data as misconduct and frames breaches involving confidentiality, personal data, and research subjects as research integrity breaches

AI tools may include the following purposes:

• To assist and inform you with:

▪ Initial research, planning and output development.

▪ A literature review and sourcing academic materials.

▪ Structuring output

▪ Data analysis and interpretation in research

Understand the AI tool’s limitations and therefore use it in conjunction with other

sources to ensure the information you present is credible and reliable. You need to

check the accuracy of all information generated by AI tools.

Falsification Any attempt to knowingly present and/or make use of fictitious

or distorted data, evidence, references, experimental results or

other material in assignments.

23. Breaches of Academic Integrity in research include any of the above breaches in

relation to examinations, supervised research and coursework including a failure to

comply with regulatory, legal and professional obligations such as a breach of

confidentiality, infringement of intellectual property rights, failure to take due care for

participants in research or of personal data, and abuse of research subjects or

materials (including artefacts).

U7Research Ethics & Integrity
Review Board InvolvedEthics Framework Active
  • The university defines breaches of ethical standards in research as academic integrity matters and requires compliance with institutional and discipline-specific ethical guidelines
  • The provided sources do not set AI-specific rules for grant proposals, IRB applications, or ethics declarations, but they do state that research-related breaches can include confidentiality, personal data, and participant-protection failures

Breaching ethical

standards

Examples include but are not limited to:

i. Collecting data without first securing formal ethical

approval.

ii. Collecting data for ethically approved studies without

obtaining informed consent from the participants.

iii. Falsifying data or fabricating fake data.

iv. Breaching participant confidentiality.

22.Ethical standards, particularly in research, are extremely important, and a breach of

these standards should be investigated as with any other breach of academic

integrity. This is relevant to both postgraduate research students and undergraduate

students carrying out research on taught modules. A breach of ethical standards

covers failing to comply with ethical obligations when carrying out academic work as

set out in any Institutional and discipline-specific Ethical Guidelines, such as failing to

obtain free and informed consent.

23. Breaches of Academic Integrity in research include any of the above breaches in

relation to examinations, supervised research and coursework including a failure to

comply with regulatory, legal and professional obligations such as a breach of

confidentiality, infringement of intellectual property rights, failure to take due care for

participants in research or of personal data, and abuse of research subjects or

materials (including artefacts).

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Academic Integrity

U8Disclosure & Attribution Requirements
Disclosure MandatoryCitation Required
  • Students must properly reference AI use, clearly indicate where AI-generated material appears in their work, and disclose the nature and extent of AI assistance
  • Any GenAI use must also be acknowledged through a declaration, with shorter work using an end declaration and longer assessments such as dissertations or projects placing it in the methodology or appendix; AI-generated content should be cited using the discipline’s standard referencing style

Any use of AI must be properly referenced – see Appendix to this policy.

Ensure that you appropriately cite and reference any text or output generated by AI in

your work, along with any other sources you use. You should indicate clearly where

in your work you have used AI-generated material. This disclosure should include

the nature and extent of any AI assistance.

Any use of GenAI must be acknowledged. For short assignments, include a declaration at the end of the

document. For longer assessments such as dissertations or projects, this should be in the methodology

or appendix section.

Referencing AI Tools

Where AI-generated content is included, cite the tool using your discipline’s standard referencing style.

Example (Harvard): OpenAI. (2025). Response generated using ChatGPT on [date] via

https://chat.openai.com

A typical reference would be:

OpenAI ChatGPT (2023) ChatGPT response to Your Name, 10 July 2023.

In your text you would include (OpenAI ChatGPT, 2023).

U9Detection & Enforcement
Detection Tools UsedIntegrity Process
  • The university states that AI detectors are not used within its VLEs, and if staff use them elsewhere, the results cannot by themselves trigger an academic misconduct referral
  • Students may be required to demonstrate understanding of submitted work through an oral discussion or authorship viva, and breaches of the AI policy are handled under the Academic Integrity Policy and Procedures

AI detectors are not used within the University’s VLEs. If any are used by staff elsewhere, their results will

never be used on their own to refer a case for academic misconduct investigation (see paragraph 25).

Students may be asked to demonstrate their understanding of submitted work, especially where GenAI

use is suspected. This may include an oral discussion or authorship viva.

Any breaches of this policy will be dealt with using the Academic Integrity

Policy and Procedures

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Institutional & Administrative

U10Faculty & Staff Use
Staff Guidelines
  • The academic AI policy says it aims to guide both students and staff on ethical and responsible AI use in academic work, but the provided sources do not define specific rules for faculty or staff uses such as grading, feedback, lesson planning, recommendation letters, or administrative communications

1.1 This policy aims to guide students and staff on the ethical and responsible use of

artificial intelligence (AI) in academic work. It seeks to harness the benefits of AI

while maintaining academic standards and integrity.

U11Institutional Data Protection & Approved AI Platforms
Approved Tools ListedUnapproved AI Blocked
  • The provided sources do not identify approved AI platforms, but they do impose data-handling restrictions relevant to technology use
  • University data must be processed on university-owned devices or software platforms, staff using personal devices must use remote access or online software only, personal-device users cannot download university data, and data sharing must avoid GDPR breaches and unnecessary disclosure

5.1 Processing University Data

Our Cyber Essentials accreditation requires that University data is processed on University-owned

devices or software platforms. Staff needing to work from a personal device must therefore sign into

the Staff Remote Access system before working with any data or use online software only.

When using a personal device, staff can:

• Use web-based versions of applications such as Teams, SharePoint, and Outlook

• Use the online editors for Word, Excel, and other documents

• Use the Staff Remote Access system for complete safety and security

When using a personal device, staff cannot:

• Download any University data

It is anticipated that during routine business there will be a requirement to share data with colleagues

and external agencies. Before doing so, ensure that you are aware of the sensitivity of the data, and

who the intended audience is. Do not share more than required and ensure that sharing will not cause

a breach of GDPR, Copyright, or other elements of section 1. Guidance can be sought from IT Services

or Legal Services.

U12University AI Governance & Strategy
Governance Body ActiveAI Strategy Defined
  • The sources do not define a broader institutional AI strategy, committee structure beyond this policy ownership, or a future AI adoption roadmap
  • The university has a formal academic AI policy owned by the University Assessment Learning and Teaching Committee, with termly review, and it says the policy was informed by external sector principles

Academic Artificial Intelligence Policy

Policy owner: University Assessment Learning and Teaching Committee

Implementation date: 1

st March 2024

Review date: Each Term

This policy draws on those developed at Deakin University, Australia and the University of Edinburgh, UK, the

addition, the “Russell Group principles on the use of generative AI tools in education” was considered.

a. This policy is produced by the University Assessment, Learning and Teaching

Committee (UALTC).

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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