University of Bradford AI Policy

PrivateLast Updated: February 2026

Academic IntegrityInstitutional & AdministrativeResearchTeaching & Learning
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Policy Coverage
33%4 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.
Not Defined
Governance
No formal AI governance structure or strategy has been published.
POLICY OVERVIEW

AI Policy Summary

University of Bradford has defined AI policies across 4 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.

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Teaching & Learning

U1Coursework & Assignments
AI PermittedAttribution Required
  • Use of generative AI in assessed coursework is controlled at the assessment level
  • Module leaders must state the level of generative AI permitted in the assessment briefing, and using generative AI outside the assessment brief parameters without acknowledgement or attribution is treated as academic misconduct

5.3.2. Assessment aims

* Learning outcomes tested.

* Marking criteria.

* Level of generative Artificial Intelligence permitted.

* Level of English language proficiency tested.

 Using generative AI tools outside the given parameters of the assessment brief

without acknowledgement or attribution.

U2Examinations & Assessments
AI Allowed in AssessmentsIntegrity Code Applies
  • During exams, accessing unauthorised materials or assistance is classified as academic misconduct
  • For assessments and exams, permitted generative AI use must be specified in the assessment briefing

5.3.2. Assessment aims

* Learning outcomes tested.

* Marking criteria.

* Level of generative Artificial Intelligence permitted.

* Level of English language proficiency tested.

 Accessing unauthorised materials or assistance during exams.

U3Learning & Study Assistance
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No policy defined yet
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 Mandatory
  • Failure to do so is treated as academic misconduct
  • When generative AI is used in assessed work, students must stay within the assessment brief parameters and must acknowledge or attribute that use

 Using generative AI tools outside the given parameters of the assessment brief

without acknowledgement or attribution.

Using generative AI tools outside the given parameters of the assessment brief without

acknowledgement or attribution.

U9Detection & Enforcement
Penalties Defined
  • Where authorship is unclear, the university may require a conversation with the student to determine genuine authorship, including in cases involving generative AI on dissertation-type assignments
  • Undisclosed or out-of-parameters generative AI use in assessments is enforceable as academic misconduct and may trigger academic concern meetings, panel review, and penalties up to capped marks, no reassessment, suspension, withdrawal, or rescinding credit

Using generative AI tools outside the given parameters of the assessment brief without

acknowledgement or attribution.

Penalty dependent on the nature and extent of the misconduct,

but could include:

 Component capped at zero.

 Module capped at pass mark.

 Module capped at zero (i.e. for credit only).

And, where applicable:

 Attend the Plagiarism Awareness Programme (PAP).

 Attend an Academic Concern Meeting/Tutorial.

 Pass the module in full, if failed.

 The nature of the allegation means that a conversation with the student

about their work is necessary to determine genuine authorship, and the

academic concern meeting did not provide sufficient clarity for the

investigator to reach a decision (e.g. in the case of generative AI use on a

dissertation-type assignment).

Penalty dependent on the nature and extent of the misconduct,

but could include:

 Upheld misconduct outcome on record and transcript.

 Reassessment for capped mark or credit only.

 No opportunity for reassessment

 Repeat elements of programme (e.g. modules or stage).

 Suspension from studies.

 Withdrawal from programme with or without award of

credit.

 Rescinding of credit/award.

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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

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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