Policy presence
Universiti Teknologi Malaysia has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Skudai, Malaysia
Universiti Teknologi Malaysia has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Universiti Teknologi Malaysia has 3 source-backed public claims for ai disclosure; deterministic analysis status: required.
Universiti Teknologi Malaysia has 2 source-backed public claims for coursework; deterministic analysis status: required.
Universiti Teknologi Malaysia has 2 source-backed public claims for exams; deterministic analysis status: required.
Universiti Teknologi Malaysia has 1 source-backed public claim for privacy and data entry; deterministic analysis status: recommended.
Universiti Teknologi Malaysia has 1 source-backed public claim for academic integrity; deterministic analysis status: required.
Universiti Teknologi Malaysia has 1 source-backed public claim for approved tools; deterministic analysis status: conditionally_allowed.
Universiti Teknologi Malaysia has 1 source-backed public claim for named ai services; deterministic analysis status: recommended.
Universiti Teknologi Malaysia has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Universiti Teknologi Malaysia has 1 source-backed public claim for research guidance; deterministic analysis status: restricted.
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.
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
6 reviewed evidence-backed public claim
Source Status
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
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
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
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
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
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.
0 machine or needs-review claim
2 source attribution
cdex-apps.utm.my
utmcdex.utm.my