Policy presence
Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Kuantan, Malaysia
Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA)
Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) has 5 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 5 reviewed claims. Last checked May 17, 2026.
Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) AI policy short answer
v1 public contract
Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) has 5 source-backed AI policy claims from 2 official source attributions, 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 Malaysia Pahang Al-Sultan Abdullah (UMPSA) is listed as QS 2026 rank =609.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) 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 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-malaysia-pahang-al-sultan-abdullah-umpsa.json. The entity-level confidence is 96%. 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 Source status claims.
- Evidence includes Research claims.
- Evidence includes AI tool treatment 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.
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 Malaysia Pahang Al-Sultan Abdullah (UMPSA) has 2 source-backed public claims for coursework; deterministic analysis status: conditionally_allowed.
Exams
Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) has 3 source-backed public claims for exams; deterministic analysis status: blocked.
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 Malaysia Pahang Al-Sultan Abdullah (UMPSA) has 2 source-backed public claims for academic integrity; deterministic analysis status: blocked.
Approved tools
Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) has 1 source-backed public claim for approved tools; deterministic analysis status: conditionally_allowed.
Named AI services
Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) has 1 source-backed public claim for named ai services; deterministic analysis status: conditionally_allowed.
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.
Research guidance
Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) has 2 source-backed public claims 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
5 reviewed evidence-backed public claim
Academic Integrity
UMPSA's generative AI guideline says generative AI technology is not permitted in any examination or equivalent assessment, whether in person or online.
Review: Agent reviewed
Normalized value: not permitted in examinations or equivalent assessments
Original evidence
Evidence 1Penggunaan dalam Melibatkan Peperiksaan: Teknologi KBG adalah sama sekali tidak dibenarkan dalam mana-mana peperiksaan atau yang setara dengannya, sama ada secara bersemuka atau pun secara dalam talian.
Localized display only
The guideline says KBG technology is not permitted in any examination or equivalent, whether in person or online.
Source Status
UMPSA has a Malay guideline for use of generative artificial intelligence technology that records an effective date of 15 February 2024 and approval by Senate Meeting 219.
Review: Agent reviewed
Normalized value: official guideline effective 2024-02-15
Original evidence
Evidence 1PANDUAN PENGGUNAAN TEKNOLOGI KECERDASAN BUATAN GENERATIF (KBG) DI UNIVERSITI MALAYSIA PAHANG AL-SULTAN ABDULLAH ... Tarikh kuatkuasa: 15 Februari 2024 ... Kelulusan Mesyuarat Senat Ke-219 Bil. 1/2024 pada 15 Februari 2024.
Localized display only
The UMPSA guideline records an effective date of 15 February 2024 and Senate Meeting 219 approval on the same date.
Academic Integrity
UMPSA's generative AI guideline tells students to provide accurate references for information obtained through generative AI and says information without sources may be considered plagiarism.
Review: Agent reviewed
Normalized value: accurate references expected; unsourced information may be plagiarism
Original evidence
Evidence 1Pelajar wajib menyediakan dan melengkapi sumber rujukan yang tepat. Maklumat yang disediakan tanpa sumber rujukan boleh dianggap sebagai plagiarisme.
Localized display only
Students must provide accurate references, and information given without sources may be considered plagiarism.
Research
UMPSA's generative AI guideline says UMPSA does not accept generative AI technology as a co-author in research and innovation writing.
Review: Agent reviewed
Normalized value: generative AI not accepted as co-author in research and innovation writing
Original evidence
Evidence 1UMPSA mengambil ketetapan untuk tidak menerima status teknologi KBG sebagai penulis bersama dalam mana-mana penulisan yang melibatkan penyelidikan dan inovasi.
Localized display only
UMPSA states it does not accept KBG technology as a co-author in writing involving research and innovation.
Ai Tool Treatment
UMPSA's generative AI guideline says generative AI use is generally permitted to maximize benefits, including for learning and research by academic staff and students.
Review: Agent reviewed
Normalized value: generative AI generally permitted for learning and research with conditions
Original evidence
Evidence 1Tujuan utama garis panduan ini dibangunkan adalah: a. Memberi panduan penggunaan teknologi KBG bagi tujuan pembelajaran dan penyelidikan kepada staf akademik serta para pelajar ... Penggunaan teknologi KBG ini pada dasarnya adalah dibenarkan bagi tujuan untuk memaksimumkan manfaat yang diperolehi.
Localized display only
The guideline says its purpose includes guiding academic staff and students on KBG use for learning and research, and that KBG use is basically permitted to maximize benefits.
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
FLEXMC UMPSA - AI Edu Resources
flexmc.umpsa.edu.my
Panduan Penggunaan Teknologi Kecerdasan Buatan Generatif (KBG) di Universiti Malaysia Pahang Al-Sultan Abdullah
pida.umpsa.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.