Policy presence
Universiti Teknologi Brunei has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Bandar Seri Begawan, Brunei
Universiti Teknologi Brunei
Universiti Teknologi Brunei has 5 source-backed AI policy claims from 1 official source attribution. Review state: agent reviewed; 5 reviewed claims. Last checked May 17, 2026.
Universiti Teknologi Brunei AI policy short answer
v1 public contract
Universiti Teknologi Brunei has 5 source-backed AI policy claims from 1 official source attribution, including 5 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 17, 2026. Discovery context: Universiti Teknologi Brunei is listed as QS 2026 rank =578.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Universiti Teknologi Brunei as an agent-reviewed AI policy record last checked on May 17, 2026 and last changed on May 17, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 1 official source attribution. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/universiti-teknologi-brunei.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.
Policy signals in this record
- Evidence includes AI tool treatment claims.
- Evidence includes Academic integrity claims.
- Evidence includes Source status claims.
- Evidence includes Teaching 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.
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
Universiti Teknologi Brunei has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
Universiti Teknologi Brunei has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Universiti Teknologi Brunei has 4 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
Universiti Teknologi Brunei has 3 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Approved tools
Universiti Teknologi Brunei has 2 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
Universiti Teknologi Brunei has 1 source-backed public claim for named ai services; deterministic analysis status: blocked.
Teaching guidance
Universiti Teknologi Brunei has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
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.
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
5 reviewed evidence-backed public claim
Ai Tool Treatment
UTB's GenAI guidance encourages students and staff to use generative AI as a productivity tool, while stating that use must not come at the expense of academic integrity.
Review: Agent reviewed
Normalized value: encouraged-with-academic-integrity-boundary
Original evidence
Evidence 1Universiti Teknologi Brunei encourages students and staff to embrace the usage of generative AI as a useful productivity tool. However, this must not be at the expense of academic integrity.
Academic Integrity
Where a coursework item has no specified GenAI policy, UTB's guidance treats GenAI content generation as third-party assistance and says the assistance must be explained, declared, and referenced to avoid plagiarism.
Review: Agent reviewed
Normalized value: unspecified-genai-content-generation-declare-reference
Original evidence
Evidence 1Where no policy on GenAI usage for a coursework item has been specified by the lecturer, any use of GenAI for content generation is the equivalent of getting assistance from third parties ... the exact assistance obtained from GenAI must be explained, declared and referenced properly, to avoid the academic offence of plagiarism.
Source Status
Universiti Teknologi Brunei has a Senate-approved GenAI guidance section for UTB students' usage in module assessments in its Student Report Manual.
Review: Agent reviewed
Normalized value: senate-approved-genai-assessment-guidance
Original evidence
Evidence 1Generative Artificial Intelligence (GenAI) Guidance for UTB students: Usage in Module Assessments ... Approved by UTB Senate on 12 January 2025.
Teaching
For UTB module assessments, the GenAI guidance says the lecturer will specify the permitted level of GenAI usage for each coursework item.
Review: Agent reviewed
Normalized value: lecturer-specified-coursework-genai-level
Original evidence
Evidence 1Your lecturer will specify for each coursework item the permitted level of GenAI usage according to the following example.
Academic Integrity
The UTB coursework declaration in the Student Report Manual asks students to indicate whether they used GenAI and, for generated content, to include prompts and outputs as an appendix and cite the GenAI tool used.
Review: Agent reviewed
Normalized value: coursework-declaration-genai-prompts-outputs-tool-citation
Original evidence
Evidence 1I declare that (tick any that apply): ... I used genAI to generate contents, ideas, and/or structure ... I used genAI to generate contents which I have copied directly into my submission. * a copy of the prompts and outputs has been included as an appendix to my submission. The genAI tool used has also been cited.
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
1 source attribution
The Student Report Manual
utb.edu.bn
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.