Poole, United Kingdom

Bournemouth University

Bournemouth University has 4 source-backed AI policy claims from 3 official source attributions. Review state: agent reviewed; 4 reviewed claims. Last checked May 20, 2026.

Bournemouth University AI policy short answer

v1 public contract

Bournemouth University has 4 source-backed AI policy claims from 3 official source attributions, including 4 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 20, 2026. Discovery context: Bournemouth University is listed as QS 2026 rank 801-850.

Citation-ready summary

As of this public record, University AI Policy Tracker lists Bournemouth University as an agent-reviewed AI policy record last checked on May 20, 2026 and last changed on May 20, 2026. The record contains 4 source-backed claims, including 4 reviewed claims, from 3 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/bournemouth-university.json. The entity-level confidence is 95%. 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 coverage4 reviewedSource languageenPublic JSON/api/public/v1/universities/bournemouth-university.json

Policy signals in this record

  • Evidence includes Academic integrity claims.
  • No specific AI service name is highlighted by the current public claim text.
  • Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
  • Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims4Reviewed4Candidate0Official sources3

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 score65/100Coverage labelmoderate public coverageReview: Machine candidateAnalysis confidence76%

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

Bournemouth University has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence75%Evidence1Sources1

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Approved tools

No source-backed public claim identifying approved or licensed AI tools is present in this profile.

The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Named AI services

No source-backed public claim naming a specific AI service is present in this profile.

The current public tracker record does not contain claim evidence naming a specific AI service.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Teaching guidance

No source-backed public claim about teaching guidance is present in this profile.

The current public tracker record does not contain claim evidence about instructor, classroom, assessment-design, or syllabus guidance.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

4 reviewed evidence-backed public claim

Academic Integrity

Bournemouth University academic-offences guidance lists using artificial intelligence software to write all or part of an assignment and claiming the work as your own as an example of an academic offence.

Review: Agent reviewedConfidence95%

Normalized value: ai_written_assignment_claimed_as_own_academic_offence_example

Original evidence

Evidence 1
An academic offence often includes: Using artificial intelligence software to write all or part of an assignment and claiming the work as your own.

Localized display only

BU lists AI-written work claimed as the student's own as an example of an academic offence.

Academic Integrity

Bournemouth University student guidance says using generative AI when writing coursework is not, by itself, an academic offence, while directing students to use the resource responsibly and appropriately.

Review: Agent reviewedConfidence90%

Normalized value: generative_ai_coursework_use_not_automatic_offence_responsible_use_expected

Original evidence

Evidence 1
While it is not an academic offence to use generative AI when writing your coursework, your tutors want to see what you have learned and how you have developed. We have produced a guide for you to use this resource responsibly and appropriately

Localized display only

BU says generative AI use in coursework is not automatically an academic offence, but students are directed to use it responsibly and appropriately.

Academic Integrity

Bournemouth University student guidance warns that AI outputs can be inaccurate or outdated and says students should verify AI outputs by checking other reliable sources.

Review: Agent reviewedConfidence90%

Normalized value: students_should_verify_ai_outputs_against_reliable_sources

Original evidence

Evidence 1
Not checking facts that you have been given by AI, as these can sometimes be factually inaccurate "hallucinations" or outdated information. We must always verify AI outputs by checking independently other reliable sources

Localized display only

BU warns that AI outputs can be inaccurate or outdated and says they should be independently checked against reliable sources.

Academic Integrity

Bournemouth University's 6H taught-awards policy defines academic offences as attempts to gain unfair advantage in assessment by deception or fraudulent means and frames academic integrity around responsibility for one's own work, acknowledging others' work, honest reporting, and avoiding unfair advantage.

Review: Agent reviewedConfidence88%

Normalized value: academic_offence_defined_as_unfair_advantage_by_deception_or_fraud

Original evidence

Evidence 1
Academic Integrity involves all those in higher education (staff and students) and means: taking responsibility for their own work; fully acknowledging the work of others wherever it has contributed to your own; ensuring that your own work is reported honestly including the avoidance of contract cheating; avoiding actions which seek to give you an unfair advantage over others

Localized display only

BU's 6H policy frames academic integrity around responsibility for one's work, acknowledging others, honest reporting, and avoiding unfair advantage.

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

3 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 20, 2026Last changedMay 20, 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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