Bath, United Kingdom

University of Bath

University of Bath is listed as QS 2026 rank =132. University of Bath has 9 source-backed AI policy claim records from 6 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 Bath is listed as QS 2026 rank =132. University of Bath has 9 source-backed AI policy claim records from 6 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 Bath as an agent-reviewed AI policy record last checked on May 14, 2026 and last changed on May 14, 2026. The record contains 9 source-backed claims, including 9 reviewed claims, from 6 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-bath.json. The entity-level confidence is 94%. 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.

Claim coverage9 reviewedSource languageen-GBPublic JSON/api/public/v1/universities/university-of-bath.json

Policy signals in this record

  • Evidence includes Academic integrity claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Teaching claims.
  • Evidence includes Privacy claims.
  • Named AI services detected in public claims: Microsoft Copilot.
  • Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
  • Privacy, sensitive-data, or security language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims9Reviewed9Candidate0Official sources6

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.

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence78%

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

University of Bath has 2 source-backed public claims for ai disclosure; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence78%Evidence2Sources2

Privacy and data entry

University of Bath has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence78%Evidence2Sources1

Approved tools

University of Bath has 2 source-backed public claims for approved tools; deterministic analysis status: blocked.

BlockedMachine candidateConfidence77%Evidence2Sources2

Research guidance

No source-backed public claim about research AI use is present in this profile.

The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

9 reviewed evidence-backed public claim

Academic Integrity

The University of Bath Academic Integrity Statement requires students submitting assessment to confirm they have not presented content created by generative AI tools as though it were their own work.

Review: Agent reviewedConfidence94%

Normalized value: Assessment declaration bars presenting generative AI content as own work

Original evidence

Evidence 1
By submitting your assessment, you confirm that: ... You have not presented content created by generative AI tools (such as Large Language Models like ChatGPT) as though it were your own work.

Ai Tool Treatment

University of Bath assessment guidance uses ABC GenAI categories: Type A means GenAI is not permitted, Type B means optional assistive use for specific defined processes, and Type C means GenAI is integral to the assessment.

Review: Agent reviewedConfidence93%

Normalized value: ABC assessment categories: A not permitted, B optional assistive use, C integral use

Original evidence

Evidence 1
Type A | Use of GenAI is not permitted. Type B | Use of GenAI is optional as an assistive tool for specific defined processes. Type C | Use of GenAI is integral to the assessment.

Teaching

University of Bath teaching guidance says that from 2026/27 it will move to a two-lane approach, with a closed lane where GenAI must not be used and an open lane where GenAI engagement is necessary or optional.

Review: Agent reviewedConfidence92%

Normalized value: Two-lane assessment model from 2026/27: closed no GenAI, open optional or necessary GenAI engagement

Original evidence

Evidence 1
From 2026/27 onwards, we will move to a simpler, principles-based 'Two-Lane' approach... The two lanes are: (1) 'closed', where GenAI must not be used; (2) and 'open', where engagement with GenAI is either necessary or optional

Privacy

University of Bath staff guidance says confidential or commercially sensitive data should never be shared with AI.

Review: Agent reviewedConfidence92%

Normalized value: Confidential or commercially sensitive data should never be shared with AI

Original evidence

Evidence 1
Please note: if you are privy to any confidential or commercially sensitive data this should never be shared with AI.

Privacy

University of Bath staff guidance says Microsoft Copilot accessed through a university login does not collect chat logs or data or train the wider model, and it advises using Copilot in preference to other tools when handling student data.

Review: Agent reviewedConfidence91%

Normalized value: Copilot preferred for student data because university-login access does not collect chat logs/data or train wider model

Original evidence

Evidence 1
Microsoft Copilot, when accessed through your university login, does not collect chat logs or data or train the wider model. We therefore advise using this tool in preference to any other when handling student data.

Teaching

For the 2025/26 transition year, University of Bath teaching guidance says course documentation should keep ABC labels and add a short AI-use statement to B and C coursework briefs.

Review: Agent reviewedConfidence90%

Normalized value: AY25/26 transition: keep ABC labelling and add AI-use statement to B and C coursework briefs

Original evidence

Evidence 1
Practical notes for course teams (AY25/26 transition) - Keep ABC labelling in handbooks while designing to the lanes. Ensure a short AI-use statement requirement is added to coursework briefs (B & C).

Academic Integrity

University of Bath staff guidance says summative grading and feedback may involve GenAI for editing or augmentation, but both the initial and final judgment should rest with academic staff.

Review: Agent reviewedConfidence90%

Normalized value: Summative grading/feedback judgment should remain with academic staff even if GenAI edits or augments feedback

Original evidence

Evidence 1
There may be a role for GenAI in editing or augmenting feedback, but both the initial and final judgment of grade and feedback should rest with academic staff when handling summative work

Academic Integrity

University of Bath two-lane FAQ guidance says GenAI misuse in open-lane assessments is not misconduct by itself, but can contribute to plagiarism, fabrication, or collusion.

Review: Agent reviewedConfidence89%

Normalized value: Open lane GenAI misuse not misconduct itself but can contribute to plagiarism, fabrication, collusion

Original evidence

Evidence 1
Misusing GenAI is not classified as misconduct in itself, but we recognise that it can contribute to the offences of plagiarism, fabrication and collusion

Ai Tool Treatment

University of Bath Teaching Hub guidance says Microsoft Copilot is the only generative AI tool made available to all University staff, when accessed with a Bath login.

Review: Agent reviewedConfidence88%

Normalized value: Microsoft Copilot is the only GenAI tool available to all University staff with Bath login

Original evidence

Evidence 1
As at the "last updated" date shown at the top of this article, Copilot is the only Generative AI tool available to all University staff when logged into a device with a Bath login.

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

6 source attribution

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.

Last checkedMay 14, 2026Last changedMay 14, 2026Open change log

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.

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