Policy presence
Universiti Malaysia Sabah (UMS) has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Kota Kinabalu, Malaysia
Universiti Malaysia Sabah (UMS)
Universiti Malaysia Sabah (UMS) has 4 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 4 reviewed claims. Last checked May 23, 2026.
Universiti Malaysia Sabah (UMS) AI policy short answer
v1 public contract
Universiti Malaysia Sabah (UMS) has 4 source-backed AI policy claims from 2 official source attributions, including 4 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 23, 2026. Discovery context: Universiti Malaysia Sabah (UMS) is listed as QS 2026 rank 1001-1200.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Universiti Malaysia Sabah (UMS) as an agent-reviewed AI policy record last checked on May 23, 2026 and last changed on May 23, 2026. The record contains 4 source-backed claims, including 4 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-sabah-ums.json. The entity-level confidence is 84%. 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 Privacy claims.
- No specific AI service name is highlighted by the current 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
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 Sabah (UMS) has 2 source-backed public claims for coursework; deterministic analysis status: conditionally_allowed.
Exams
Universiti Malaysia Sabah (UMS) has 2 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Universiti Malaysia Sabah (UMS) has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Universiti Malaysia Sabah (UMS) has 2 source-backed public claims for academic integrity; deterministic analysis status: restricted.
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 Malaysia Sabah (UMS) has 1 source-backed public claim for named ai services; deterministic analysis status: unclear.
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
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
4 reviewed evidence-backed public claim
Source Status
UMS's official OER record describes 'Panduan AI untuk Pelajar UMS' as guidance for all UMS students on AI use and says it is aligned with the UMS Artificial Intelligence Policy.
Review: Agent reviewed
Normalized value: Official OER item states student AI guide alignment with Polisi Kecerdasan Buatan UMS.
原始证据
Evidence 1merumuskan garis panduan penting bagi semua pelajar Universiti Malaysia Sabah (UMS) mengenai penggunaan Kecerdasan Buatan (AI), selaras dengan Polisi Kecerdasan Buatan UMS.
本地化显示 only
The OER abstract says the guide summarizes important AI-use guidance for all UMS students and is aligned with UMS's AI policy.
Academic Integrity
UMS's student AI guide tells students to use AI to support learning, not to replace their own effort, critical thinking, and work.
Review: Agent reviewed
Normalized value: AI as learning aid, not replacement for student work.
原始证据
Evidence 1AI Sebagai Alat, Bukan Pengganti Gunakan AI untuk membantu proses pembelajaran anda, bukan untuk menggantikan usaha, pemikiran kritis, dan kerja anda sendiri.
本地化显示 only
Use AI to help your learning process, not to replace your own effort, critical thinking, and work.
Academic Integrity
UMS's student AI guide warns that students who do not comply with AI-use ethics and rules stated in university policy may be subject to disciplinary action.
Review: Agent reviewed
Normalized value: Non-compliance with AI-use ethics and university policy rules may trigger discipline.
原始证据
Evidence 1Pelajar yang tidak mematuhi etika dan peraturan penggunaan AI seperti yang dinyatakan dalam polisi universiti boleh dikenakan tindakan disiplin.
本地化显示 only
Students who do not comply with AI-use ethics and rules stated in university policy may be subject to disciplinary action.
Privacy
UMS's student AI guide instructs students to use AI with suitable ethics and to respect individual data privacy.
Review: Agent reviewed
Normalized value: Ethical AI use and individual data privacy are student responsibilities.
原始证据
Evidence 1Pastikan AI digunakan dengan etika yang sesuai, menghormati privasi data individu, dan mengelakkan pengulangan maklumat.
本地化显示 only
Ensure AI is used with suitable ethics, respects individual data privacy, and avoids repeating information.
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
Panduan AI untuk Pelajar UMS
oer.ums.edu.my
Panduan AI untuk Pelajar UMS: Etika & Tanggungjawab AI
oer.ums.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.