Policy presence
Universiti Teknologi Malaysia has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Skudai, Malaysia
Universiti Teknologi Malaysia
Universiti Teknologi Malaysia is listed as QS 2026 rank =153. Universiti Teknologi Malaysia has 6 source-backed AI policy claim records from 2 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 Teknologi Malaysia is listed as QS 2026 rank =153. Universiti Teknologi Malaysia has 6 source-backed AI policy claim records from 2 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 Teknologi Malaysia as an agent-reviewed AI policy record last checked on May 14, 2026 and last changed on May 14, 2026. The record contains 6 source-backed claims, including 6 reviewed claims, from 2 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-teknologi-malaysia.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 Source status claims.
- Evidence includes Academic integrity claims.
- Evidence includes Teaching claims.
- Evidence includes Research claims.
- Evidence includes Privacy 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.
- Privacy, sensitive-data, or security 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 Malaysia has 3 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
Universiti Teknologi Malaysia has 2 source-backed public claims for coursework; deterministic analysis status: required.
Exams
Universiti Teknologi Malaysia has 2 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
Universiti Teknologi Malaysia has 1 source-backed public claim for privacy and data entry; deterministic analysis status: recommended.
Academic integrity
Universiti Teknologi Malaysia has 1 source-backed public claim for academic integrity; deterministic analysis status: required.
Approved tools
Universiti Teknologi Malaysia has 1 source-backed public claim for approved tools; deterministic analysis status: conditionally_allowed.
Named AI services
Universiti Teknologi Malaysia has 1 source-backed public claim for named ai services; deterministic analysis status: recommended.
Teaching guidance
Universiti Teknologi Malaysia has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Universiti Teknologi Malaysia has 1 source-backed public claim for research guidance; deterministic analysis status: restricted.
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
6 reviewed evidence-backed public claim
Source Status
UTM CDex lists both Malay and English versions of the generative AI teaching-and-learning guideline on its policy/handbook/procedure/guidelines page.
Review: Agent reviewed
Normalized value: UTM CDex lists the GenAI teaching-and-learning guideline in both Malay and English.
Original evidence
Evidence 17. GARIS PANDUAN PENGGUNAAN KECERDASAN BUATAN GENERATIF DALAM PENGAJARAN DAN PEMBELAJARAN UTM (TERKINI) 8. GUIDELINES FOR THE USE OF GENERATIVE ARTIFICIAL INTELLIGENCE IN TEACHING AND LEARNING UTM
Localized display only
The UTM CDex guidelines page lists both the Malay and English GenAI teaching-and-learning guideline entries.
Source Status
UTM's guideline applies to all undergraduate and postgraduate academic programmes that intend to use generative AI, and it was approved by the University Senate and effective from 27 March 2024.
Review: Agent reviewed
Normalized value: Applies to all undergraduate and postgraduate academic programmes; effective 27 March 2024.
Original evidence
Evidence 1Nama Garis Panduan : Garis Panduan Penggunaan Kecerdasan Buatan Generatif dalam Pengajaran dan Pembelajaran UTM Nombor Garis Panduan : Pekeliling Akademik Bil.3/2024 Diluluskan Oleh : Mesyuarat Senat Universiti Bil.6/2023/2024 Tarikh Kuat kuasa : 27 Mac 2024 I. Garis Panduan ini terpakai kepada semua program akademik sama ada pra siswazah atau pasca siswazah di UTM, meliputi pengajian perdana dan usahasama, sama ada sepenuh masa atau separuh masa yang ingin menggunakan kecerdasan buatan generatif (KBG) dalam program masing-masing.
Localized display only
The guideline is an Academic Circular 3/2024 approved by the University Senate and applies to undergraduate and postgraduate programmes that intend to use generative AI.
Academic Integrity
UTM requires GAI use in assignments and works to be listed with developer information, tool name, version, access date, and URL when available; undisclosed use can be treated as plagiarism.
Review: Agent reviewed
Normalized value: GAI use must be disclosed and cited in assignments and works; undisclosed use can count as plagiarism.
Original evidence
Evidence 12.3.3 Penggunaan KBG perlu disenaraikan dalam tugasan dan hasil karya bagi aktiviti P&P yang mengandungi maklumat pembangun peralatan, nama peralatan, versi peralatan, tarikh akses, serta pautan URL (jika ada) berdasarkan format berikut: 2.3.7 Sebarang penulisan dan hasil karya dalam aktiviti P&P yang tidak menyatakan penggunaan KBG (jika ada) boleh dikategorikan sebagai plagiat sebagaimana Peraturan Akademik Universiti.
Localized display only
GAI use must be listed in assignments and works with developer, tool, version, access date, and URL when available; undisclosed use can be treated as plagiarism.
Teaching
UTM requires academic staff to clearly state GAI use in course assessments, and prioritizes continuous assessments that demonstrate deep mastery.
Review: Agent reviewed
Normalized value: Academic staff should disclose GAI use in assessments; continuous assessments demonstrating deep mastery are prioritized.
Original evidence
Evidence 12.2.2.1 Kaedah pentaksiran berterusan bagi mempamerkan penguasaan mendalam perlu diutamakan seperti demonstrasi, pembentangan, perbahasan, temuduga dan pentaksiran lain yang bersesuaian kerana aplikasi KBG boleh menyebabkan hasil tugasan akademik yang disediakan oleh pelajar tidak mempamerkan penguasaan sebenar pelajar. 2.2.3 Staf akademik perlu menyatakan dengan jelas penggunaan KBG dalam pentaksiran kursus kepada pelajar selari dengan garis panduan Universiti.
Localized display only
UTM prioritizes continuous assessments that show deep mastery and requires academic staff to clearly disclose GAI use in course assessments.
Research
UTM says GAI services beyond proofreading tools must be explicitly stated, and GAI tools cannot be listed as co-authors.
Review: Agent reviewed
Normalized value: GAI use beyond proofreading tools must be disclosed; GAI tools cannot be co-authors.
Original evidence
Evidence 12.4.2 Penggunaan perkhidmatan dan peralatan KBG selain Perkara 2.4.1 perlu dinyatakan secara jelas. 2.4.3 Peralatan KBG tidak boleh disenaraikan sebagai penulis bersama dalam sesuatu penerbitan kerana ianya tidak boleh dipertanggungjawabkan bagi kandungan dan dapatan yang dilaporkan.
Localized display only
GAI services beyond proofreading tools must be explicitly disclosed, and GAI tools cannot be listed as co-authors.
Privacy
UTM says reliable GAI tools should have data privacy management and protection systems and be safe to use.
Review: Agent reviewed
Normalized value: Reliable GAI tools should have data privacy management and protection systems.
Original evidence
Evidence 12.4.6.2 Mempunyai sistem pengurusan serta perlindungan privasi data dan selamat digunakan.
Localized display only
Reliable GAI tools should have data privacy management and protection systems and be safe to use.
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
2 source attribution
Garis Panduan Penggunaan Kecerdasan Buatan Generatif dalam Pengajaran dan Pembelajaran Universiti Teknologi Malaysia
cdex-apps.utm.my
POLICY:HANDBOOK:PROCEDURE:GUIDELINES | UTM CDex
utmcdex.utm.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.