Policy presence
No source-backed public AI policy or guidance record is present in this profile.
The current public tracker record does not contain a source-backed claim that establishes a policy or guidance source.
Gelugor, Malaysia
Universiti Sains Malaysia (USM)
Universiti Sains Malaysia (USM) is listed as QS 2026 rank =134. Universiti Sains Malaysia (USM) has 5 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 Sains Malaysia (USM) is listed as QS 2026 rank =134. Universiti Sains Malaysia (USM) has 5 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 Sains Malaysia (USM) as an agent-reviewed AI policy record last checked on May 14, 2026 and last changed on May 14, 2026. The record contains 5 source-backed claims, including 5 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-sains-malaysia.json. The entity-level confidence is 94%. 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 Research claims.
- Evidence includes Academic integrity claims.
- Evidence includes Teaching claims.
- Named AI services detected in public claims: ChatGPT.
- Disclosure, acknowledgment, citation, or attribution 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 Sains Malaysia (USM) has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Coursework
Universiti Sains Malaysia (USM) has 2 source-backed public claims for coursework; deterministic analysis status: recommended.
Exams
Universiti Sains Malaysia (USM) has 2 source-backed public claims for exams; deterministic analysis status: recommended.
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 Sains Malaysia (USM) has 2 source-backed public claims 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 Sains Malaysia (USM) has 1 source-backed public claim for named ai services; deterministic analysis status: blocked.
Teaching guidance
Universiti Sains Malaysia (USM) has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Research guidance
Universiti Sains Malaysia (USM) has 4 source-backed public claims 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
5 reviewed evidence-backed public claim
Research
IJAPS, a Penerbit Universiti Sains Malaysia journal, requires manuscript authors to note AI software use such as ChatGPT in Materials and Methods or Acknowledgments and not list AI as an author.
Review: Agent reviewed
Normalized value: IJAPS requires AI-use disclosure and prohibits AI authorship
Original evidence
Evidence 1Use of artificial intelligence (AI) software, such as ChatGPT, must be noted in the Materials and Methods section (or Acknowledgments, if no Materials and Methods section is available) of the manuscript and may not be listed as an author.
Research
IJAPS states that generative AI and AI-assisted technologies used in scientific writing should only improve readability and language, with human oversight, careful review, and author accountability.
Review: Agent reviewed
Normalized value: IJAPS limits GenAI writing assistance to readability and language improvement
Original evidence
Evidence 1Where authors use generative AI and AI-assisted technologies in the writing process, these technologies should only be used to improve readability and language of the work.
Research
Kajian Malaysia, a Penerbit Universiti Sains Malaysia journal, allows AI-assisted tools for language improvement but keeps authors fully responsible for the quality and accuracy of the final text.
Review: Agent reviewed
Normalized value: Kajian Malaysia allows AI language assistance with author responsibility
Original evidence
Evidence 1The use of AI-assisted tools for language improvement is allowed, but authors are fully responsible for the quality and accuracy of the final text.
Academic Integrity
The CDAE-hosted guideline says students should use GenAI prudently and ethically under the guidelines set by their higher education provider, while supporting rather than taking over their role as students.
Review: Agent reviewed
Normalized value: students should use GenAI ethically and not let it replace their role
Original evidence
Evidence 1Menggunakan KBG secara berhemah dan beretika berdasarkan garis panduan yang telah ditetapkan oleh PPT.
Localized display only
Students should use GenAI prudently and ethically based on guidelines set by the higher education provider.
Teaching
A CDAE-hosted higher-education GenAI guideline advises higher education providers to prepare policies and rules for GenAI use in teaching and learning, research, and scholarly writing.
Review: Agent reviewed
Normalized value: higher education providers advised to prepare GenAI policies and rules
Original evidence
Evidence 1PPT disarankan menyediakan polisi dan peraturan penggunaan KBG dalam PdP, penyelidikan dan penulisan ilmiah bagi menyokong pembangunan pengetahuan dan kompetensi.
Localized display only
Higher education providers are advised to prepare policies and rules for GenAI use in teaching and learning, research, and scholarly writing.
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
Garis Panduan Penggunaan Teknologi Kecerdasan Buatan Generatif (KBG) dalam Pengajaran dan Pembelajaran (PdP) Pendidikan Tinggi
cdae.usm.my
Journal Policies | IJAPS
ijaps.usm.my
Kajian Malaysia Journal Policies
web.usm.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.