Policy presence
Universiti Utara Malaysia (UUM) has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Sintok, Malaysia
Universiti Utara Malaysia (UUM)
Universiti Utara Malaysia (UUM) is listed as QS 2026 rank =491. Universiti Utara Malaysia (UUM) has 3 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Universiti Utara Malaysia (UUM) is listed as QS 2026 rank =491. Universiti Utara Malaysia (UUM) has 3 source-backed AI policy claim records from 3 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 Universiti Utara Malaysia (UUM) as an agent-reviewed AI policy record last checked on May 17, 2026 and last changed on May 17, 2026. The record contains 3 source-backed claims, including 3 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/universiti-utara-malaysia-uum.json. The entity-level confidence is 86%. 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 Academic integrity claims.
- Evidence includes Teaching claims.
- Evidence includes Source status claims.
- Named AI services detected in public claims: ChatGPT.
- 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
Universiti Utara Malaysia (UUM) has 1 source-backed public claim for coursework; deterministic analysis status: conditionally_allowed.
Exams
Universiti Utara Malaysia (UUM) has 2 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 Utara Malaysia (UUM) has 1 source-backed public claim for academic integrity; deterministic analysis status: blocked.
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.
Named AI services
Universiti Utara Malaysia (UUM) has 1 source-backed public claim for named ai services; deterministic analysis status: unclear.
Teaching guidance
Universiti Utara Malaysia (UUM) has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Research guidance
Universiti Utara Malaysia (UUM) has 1 source-backed public claim 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
3 reviewed evidence-backed public claim
Academic Integrity
UUM's online and take-home assessment guideline states that, for closed-book online final exams, students are not allowed to collaborate, must sign an honour form, and submissions may be checked via Turnitin.
Review: Agent reviewed
Normalized value: no_collaboration_honour_form_turnitin_for_closed_book_online_final_exam
Original evidence
Evidence 1e) Academic integrity i. Students are not allowed to collaborate. ii. Student are to sign an honour form. iii. All submissions may be checked via turnitin.
Teaching
UUM's assessment handbook says it provides guidance for instructors in undergraduate and postgraduate programmes on closed-book, open-book, and 100% coursework assessment options.
Review: Agent reviewed
Normalized value: assessment_guidance_for_instructors_closed_open_book_coursework
Original evidence
Evidence 1This Handbook provides a guideline for instructors (whether they are teaching the undergraduate or postgraduate programmes) to conduct their assessment practices in the new norm.
Source Status
This crawl verified an official UUM Research Management Centre ChatGPT for Academic Writing workshop notice; the notice is event/workshop material, not central university-wide AI policy evidence.
Review: Agent reviewed
Normalized value: chatgpt_workshop_notice_not_central_policy
Original evidence
Evidence 1UUM Kampus Kuala Lumpur akan menganjurkan bengkel bertajuk "CHATGPT FOR ACADEMIC WRITING" seperti ketetapan berikut: Tarikh : 26 Jun 2024 (Rabu)
Localized display only
UUM Kuala Lumpur Campus announced a workshop titled "ChatGPT for Academic Writing" scheduled for 26 June 2024.
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
Dato' Fahmi Fadzil Highlights the Importance of Authentic Information and the Role of AI in the Digital Era
uum.edu.my
Guidelines for Online and Take-Home Assessments
hea.uum.edu.my
Research Management Centre (RMC) - [Panggilan Peserta] ChatGPT for Academic Writing
rmc.uum.edu.my
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.