Policy presence
University of Exeter has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Exeter, United Kingdom
University of Exeter
University of Exeter is listed as QS 2026 rank =155. University of Exeter has 7 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
University of Exeter is listed as QS 2026 rank =155. University of Exeter has 7 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Citation-ready summary
As of this public record, University AI Policy Tracker lists University of Exeter as an agent-reviewed AI policy record last checked on May 14, 2026 and last changed on May 14, 2026. The record contains 7 source-backed claims, including 7 reviewed claims, from 5 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/university-of-exeter.json. The entity-level confidence is 97%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.
Policy signals in this record
- Evidence includes Teaching claims.
- Evidence includes Academic integrity claims.
- Evidence includes Research claims.
- Evidence includes AI tool treatment claims.
- No specific AI service name is highlighted by the current public claim text.
- Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
Review: Agent reviewed
This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.
This page is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.
Policy profile
Deterministic source-backed dimensions derived from this record's public claims.
Review: Machine candidate
Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.
Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.
AI disclosure
No source-backed public claim about AI disclosure or acknowledgement is present in this profile.
The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.
Coursework
University of Exeter has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
University of Exeter has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
No source-backed public claim about privacy or data-entry restrictions is present in this profile.
The current public tracker record does not contain claim evidence about personal, confidential, sensitive, regulated, or student data entry into AI tools.
Academic integrity
University of Exeter has 3 source-backed public claims for academic integrity; deterministic analysis status: blocked.
Approved tools
University of Exeter has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.
Named AI services
University of Exeter has 1 source-backed public claim for named ai services; deterministic analysis status: allowed.
Teaching guidance
University of Exeter has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Research guidance
University of Exeter has 3 source-backed public claims for research guidance; deterministic analysis status: recommended.
Security and procurement
No source-backed public claim about AI security review or procurement is present in this profile.
The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
Evidence-backed claims
7 reviewed evidence-backed public claim
Teaching
University of Exeter follows a four-tier GenAI assessment model from 2025-26: AI-integrated, AI-assisted, AI-minimal, and AI-prohibited.
Review: Agent reviewed
Normalized value: four-tier GenAI assessment model from 2025-26
Original evidence
Evidence 1From the start of the 2025-26 academic year, the University of Exeter follows a four-tier approach to GenAI use in assessments: AI-integrated, AI-assisted, AI-minimal, AI-prohibited.
Academic Integrity
For AI-integrated and AI-assisted assessments, Exeter requires students to include AI prompts and, where possible, hyperlinks to outputs in their references.
Review: Agent reviewed
Normalized value: AI prompts and hyperlinks required for AI-integrated and AI-assisted assessments
Original evidence
Evidence 1For AI-integrated and AI-assisted assessments, you must include prompts and, where possible, hyperlinks to outputs as part of your list of references.
Research
Since 1 August 2024, Exeter requires postgraduate researchers to include a GenAI statement in their upgrade portfolio and final thesis, and will assume no GenAI was used if the statement is missing.
Review: Agent reviewed
Normalized value: PGR GenAI statement required from 1 August 2024
Original evidence
Evidence 1From 1 August 2024, all Postgraduate Researchers (PGR) must include a statement in their upgrade portfolio and final thesis. This statement must confirm if and how they have used Generative AI (GenAI) in their work. If you do not include this statement, the University will assume you have not used any GenAI tools. The statement must be placed at the end of the upgrade or thesis/dissertation documents, before the reference list.
Academic Integrity
Exeter says AI-minimal assessments allow AI only for spelling and grammar checking, and AI-prohibited assessments do not allow GenAI tools.
Review: Agent reviewed
Normalized value: AI-minimal spelling and grammar only; AI-prohibited no GenAI
Original evidence
Evidence 1AI-minimal – where you may use AI tools for checking spelling and grammar mistakes only, with no other impact on the structure or content of the assessment. AI-prohibited – you must not use GenAI tools as their use prevents achievement of the Intended Learning Outcomes.
Academic Integrity
Exeter's GenAI referencing guidance requires recording both direct and indirect uses of GenAI outputs, including prompts and hyperlinks used for the assignment.
Review: Agent reviewed
Normalized value: record direct and indirect GenAI use, including prompts and hyperlinks
Original evidence
Evidence 1You need to record direct and indirect use of Generative AI outputs. For AI-Integrated and AI-Assisted assessments, you must keep a record of all AI prompts and hyperlinks used for your assignment.
Research
Exeter says postgraduate researchers may use AI in research, but only in line with the University AI policy, Doctoral College AI regulations, and critical scrutiny and research oversight.
Review: Agent reviewed
Normalized value: PGR AI use allowed only with policy compliance and research oversight
Original evidence
Evidence 1Yes, you can use artificial intelligence (AI) as part of your research. It must however be used in line with the University of Exeter Artificial Intelligence policy, the Doctoral College regulations on the use of AI in research assessments, and the University guidance on the use of AI, Enabling AI at Exeter. The key principle is that any use of AI must be accompanied by critical scrutiny and research oversight, because you, as the researcher, remain responsible for any research outputs and assessments.
Ai Tool Treatment
Exeter's central AI guidance says staff, students, and researchers should use the University AI policy when using, developing, or procuring AI tools for University purposes, and the AI Catalogue lists approved tools.
Review: Agent reviewed
Normalized value: policy applies to staff, students, researchers, and approved tools are listed in the AI Catalogue
Original evidence
Evidence 1The University of Exeter’s Artificial Intelligence policy sets out clear principles for using AI at Exeter. It supports innovation while ensuring fairness, transparency and compliance with data protection and ethical standards. All staff, students and researchers should refer to the policy when using, developing or procuring an AI tool for University purposes. The AI Catalogue is a dynamic list of approved AI tools for staff, students and researchers.
Candidate claims
0 machine or needs-review claim
Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.
Official sources
5 source attribution
Enabling AI at Exeter | Strategies | University of Exeter
exeter.ac.uk
Generative Artificial Intelligence (GenAI) use in assessments - Referencing - LibGuides at University of Exeter
libguides.exeter.ac.uk
Recording and referencing GenAI - Referencing - LibGuides at University of Exeter
libguides.exeter.ac.uk
Research training and skills | Doctoral College | University of Exeter
exeter.ac.uk
Responsible use of AI in research
exeter.ac.uk
Change log
Source-check timeline and diff-style claim/evidence preview.
View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.
Corrections and missing evidence
Corrections create review tasks and do not directly change this public record.
If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.