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.
Serdang, Malaysia
Universiti Putra Malaysia (UPM)
Universiti Putra Malaysia (UPM) is listed as QS 2026 rank =134. Universiti Putra Malaysia (UPM) has 5 source-backed AI policy claim records from 1 official source attribution. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Universiti Putra Malaysia (UPM) is listed as QS 2026 rank =134. Universiti Putra Malaysia (UPM) has 5 source-backed AI policy claim records from 1 official source attribution. 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 Putra Malaysia (UPM) 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 1 official source attribution. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/universiti-putra-malaysia.json. The entity-level confidence is 95%. 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 AI tool treatment claims.
- Evidence includes Academic integrity 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.
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 Putra Malaysia (UPM) has 3 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
Universiti Putra Malaysia (UPM) has 4 source-backed public claims for coursework; deterministic analysis status: required.
Exams
Universiti Putra Malaysia (UPM) has 5 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
Universiti Putra Malaysia (UPM) has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Universiti Putra Malaysia (UPM) has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
Universiti Putra Malaysia (UPM) has 2 source-backed public claims for approved tools; deterministic analysis status: required.
Named AI services
Universiti Putra Malaysia (UPM) has 3 source-backed public claims for named ai services; deterministic analysis status: required.
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 Putra Malaysia (UPM) has 4 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
Ai Tool Treatment
For postgraduate theses, UPM's generative AI guideline requires students to clearly explain and appropriately attribute where and why generative AI was used, and to identify areas influenced by AI-generated content versus the student's direct contribution.
Review: Agent reviewed
Normalized value: postgraduate_thesis_ai_use_requires_explanation_attribution_and_ai_influence_mapping
Original evidence
Evidence 1Students MUST: f) explain clearly and attribute appropriately where and why generative AI was used (e.g., literature review, data preprocessing, or creative simulations) g) outline the areas of the research that were influenced by AI-generated content versus their direct contribution
Academic Integrity
UPM's postgraduate thesis generative AI guideline says postgraduate students must demonstrate that thesis intellectual contributions are predominantly their own despite AI assistance, and must ensure accuracy, references, originality, mastery, and control over the research process.
Review: Agent reviewed
Normalized value: postgraduate_thesis_students_must_demonstrate_own_contribution_despite_ai_assistance
Original evidence
Evidence 1Students MUST: a) demonstrate that the intellectual contributions of the thesis are predominantly their own, despite AI assistance b) ensure the accuracy of facts and claims in the thesis, supported by appropriate evidence and references c) ensure the originality of the content in their thesis d) demonstrate a comprehensive understanding and mastery of their research contributions e) demonstrate that he/she can maintain control over his/her research process, and AI was used as a supporting tool
Academic Integrity
For UPM postgraduate viva sessions, the guideline says the chairperson must ensure that the student declares AI use in the research, specifies the areas assisted, and affirms that the originality and novelty of the research are the student's own work.
Review: Agent reviewed
Normalized value: postgraduate_viva_requires_student_ai_use_declaration
Original evidence
Evidence 1The Chairman must ensure that the student declares during the viva session the use of AI in the research, clearly specifying the areas it assisted with, while affirming that the originality and novelty of the research are their own work.
Ai Tool Treatment
UPM's postgraduate thesis AI declaration form has students declare that AI technology used in thesis writing served as an assistive writing tool rather than a substitute for original thinking, analysis, or research, and that generated content was reviewed and modified.
Review: Agent reviewed
Normalized value: postgraduate_thesis_ai_declaration_form_requires_assistive_tool_and_review_declaration
Original evidence
Evidence 1I, [student's name], hereby declare that) a) The artificial intelligence technology used serves as an assistive writing tool, not a substitute for my original thinking, analysis, or research). b) All content generated has been reviewed and modified to ensure authenticity and relevance to my study).
Localized display only
Student declaration form: AI use is declared as an assistive writing tool, not a substitute for original thinking, analysis, or research, and generated content is declared to have been reviewed and modified.
Privacy
UPM's postgraduate thesis generative AI guideline requires students, and reminds examiners to ensure, ethical handling of any data used in research or when interacting with generative AI models.
Review: Agent reviewed
Normalized value: postgraduate_thesis_generai_requires_ethical_data_handling
Original evidence
Evidence 1Students MUST: h) ensure ethical handling of any data used in research or interacting with generative AI models ... Examiners MUST ensure that: f) ensure ethical handling of any data used in research or interacting with generative AI models
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
1 source attribution
Guideline for Managing Generative Artificial Intelligence Usage in Postgraduate Thesis
sgs.upm.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.