Singapore, Singapore

National University of Singapore (NUS)

National University of Singapore (NUS) is listed as QS 2026 rank 8. National University of Singapore (NUS) has 8 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.

Last checkedMay 6, 2026Last changedMay 6, 2026Review: Agent reviewedConfidence96%

Public JSON Citation rules Dataset access

Reviewed claims8Candidate claims0Official sources3

Candidate claims are source-backed records pending review. They are not final policy conclusions and are not legal or academic integrity advice.

Reviewed claims

8 reviewed public claim

Last checked: May 5, 2026
Last changed: May 5, 2026

Original evidence

Evidence 1

The verdicts of current AI tools purported to determine whether an analyzed input has been generated by AI are not admissible as conclusive evidence in a disciplinary process to charge a student with academic dishonesty or as justification to penalize student work.
Source: NUS Policy for Use of AI in Teaching and Learning

Source language: English (en)
Snapshot hash: 96587c9cdfd8612eb7eaf96a6104c2789e51031a4388abcd6f7aa01e46750c1f
Retrieved: May 5, 2026
Evidence locator: 2.6 Academic Dishonesty and AI Detector Verdicts

Last checked: May 5, 2026
Last changed: May 5, 2026

Original evidence

Evidence 1

Representing an AI's output as your own work, without any acknowledgement that you have used such a tool, is plagiarism. A student found to have submitted work generated by AI but failed to acknowledge their use of AI can still be sanctioned for plagiarism, assuming the case can be made.
Source: NUS Policy for Use of AI in Teaching and Learning

Source language: English (en)
Snapshot hash: 96587c9cdfd8612eb7eaf96a6104c2789e51031a4388abcd6f7aa01e46750c1f
Retrieved: May 5, 2026
Evidence locator: 3. A General Message to Our Students; 2.6 Academic Dishonesty

Last checked: May 5, 2026
Last changed: May 6, 2026

Original evidence

Evidence 1

Instructors should be transparent about where and how they deploy AI in NUS courses. This is especially important where AI is deployed to generate course content (including assessment questions), to function as virtual tutors to answer student queries, or to help with assessment feedback and grading.
Source: NUS Policy for Use of AI in Teaching and Learning

Source language: English (en)
Snapshot hash: 96587c9cdfd8612eb7eaf96a6104c2789e51031a4388abcd6f7aa01e46750c1f
Retrieved: May 5, 2026
Evidence locator: 2.1 Be Transparent About the Use of AI

Last checked: May 5, 2026
Last changed: May 5, 2026

Original evidence

Evidence 1

The use of AI tools to provide instruction to learners in the form of responses, feedback and/or marks, whether as virtual tutors or as markers, requires prior approval by Head of Department or relevant Deanery, under the oversight of Chair of the AI-COP. Approval must be sought through submission of an AI Risk Assessment.
Source: NUS Policy for Use of AI in Teaching and Learning

Source language: English (en)
Snapshot hash: 96587c9cdfd8612eb7eaf96a6104c2789e51031a4388abcd6f7aa01e46750c1f
Retrieved: May 5, 2026
Evidence locator: 2.4 Deploying AI Requires Explicit Approval

Last checked: May 5, 2026
Last changed: May 5, 2026

Original evidence

Evidence 1

Conversely, the default assumption for any unsupervised (e.g., 'take home') assessment task is that the use of AI tools is permitted so long as the use is duly acknowledged. ... If the decision is that students should be forbidden from using AI tools for an assessment (for pedagogical reasons), then crucial aspects of that assessment should be conducted in-person and instructor-supervised.
Source: NUS Policy for Use of AI in Teaching and Learning

Source language: English (en)
Snapshot hash: 96587c9cdfd8612eb7eaf96a6104c2789e51031a4388abcd6f7aa01e46750c1f
Retrieved: May 5, 2026
Evidence locator: 2.5 Assessments Forbidding the Use of AI

Last checked: May 5, 2026
Last changed: May 5, 2026

Original evidence

Evidence 1

Wherever NUS data is involved, use NUS approved AI tools (see the list here).
Source: NUS Policy for Use of AI in Teaching and Learning

Source language: English (en)
Snapshot hash: 96587c9cdfd8612eb7eaf96a6104c2789e51031a4388abcd6f7aa01e46750c1f
Retrieved: May 5, 2026
Evidence locator: 2.3 Use Approved Tools

Last checked: May 5, 2026
Last changed: May 5, 2026

Original evidence

Evidence 1

NUS's Policy for Use of AI in Teaching and Learning; THE1005 on AI Use for Students on the NUSOne page
Source: AI Guidelines - Library Essentials

Source language: English (en)
Snapshot hash: 60355f1b4cd71eafe176f82c72e901358451f1184e87d825e5d007cab0a15e25
Retrieved: May 5, 2026
Evidence locator: Institutional Guidelines and Resources section

Last checked: May 5, 2026
Last changed: May 5, 2026

Original evidence

Evidence 1

Important! Always check your assignment guidelines for specific instructions on use of AI in your assignment. ... If you intend to publish your work, do note that in addition to style guides for citation, you may need to consult publishers' policies for using AI tools or including AI-generated content in writing.
Source: Citing AI Tools (NEW!)

Source language: English (en)
Snapshot hash: ee53c1275ceaed742d7aeb1d24af41a37b89872b2b8b9506e101838a8f5b3d22
Retrieved: May 5, 2026
Evidence locator: Citing AI Tools page

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

AI Guidelines - Library Essentials

libguides.nus.edu.sg

Source URL: https://libguides.nus.edu.sg/new2nus/ai_guidelines_infographics
Snapshot hash: 60355f1b4cd71eafe176f82c72e901358451f1184e87d825e5d007cab0a15e25

Citing AI Tools (NEW!)

libguides.nus.edu.sg

Source URL: https://libguides.nus.edu.sg/citation/ai
Snapshot hash: ee53c1275ceaed742d7aeb1d24af41a37b89872b2b8b9506e101838a8f5b3d22

NUS Policy for Use of AI in Teaching and Learning

ctlt.nus.edu.sg

Source URL: https://ctlt.nus.edu.sg/wp-content/uploads/2026/04/Policy-for-Use-of-AI-in-Teaching-and-Learning.pdf
Snapshot hash: 96587c9cdfd8612eb7eaf96a6104c2789e51031a4388abcd6f7aa01e46750c1f

Back to universities

University AI Policy Tracker. "National University of Singapore (NUS) AI Policy Tracker record." Last checked May 6, 2026. https://eduaipolicy.org/universities/national-university-of-singapore

Versioned university record with claims, evidence, source attribution, review state, confidence, and citation fields.

3 source attribution record.

Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms.

Tracker metadata: CC-BY-4.0

This tracker 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.

Human reviewed
Agent reviewed
Machine candidate
Needs review
Rejected

Review state describes workflow status. Confidence is a separate machine-assessed support score.

National University of Singapore (NUS)

Citation-ready overview

Reviewed claims

NUS policy states that verdicts from AI detection tools are not admissible as conclusive evidence in disciplinary processes to charge students with academic dishonesty or to penalize student work.

NUS policy states that representing AI output as one's own work without acknowledgement is plagiarism; students who submit AI-generated work without acknowledging its use can be sanctioned for academic dishonesty.

NUS states that instructors should be transparent about where and how they deploy AI in courses, including for generating content, virtual tutoring, and assessment feedback.

NUS requires prior approval from Head of Department or relevant Deanery before using AI tools to provide instruction, feedback, or marks to students, submitted via an AI Risk Assessment.

NUS policy sets the default assumption that AI tool use is permitted for unsupervised (take-home) assessments, provided use is duly acknowledged; assessments forbidding AI must be conducted in-person and instructor-supervised.

NUS policy requires that wherever NUS data is involved, only NUS-approved AI tools should be used.

NUS has an institutional Policy for Use of AI in Teaching and Learning, supplemented by AI guidelines infographics and resources for students.

NUS requires students to cite AI-generated content according to style guide conventions and to check assignment guidelines for specific AI use instructions.

Candidate claims

Official sources

AI Guidelines - Library Essentials

Citing AI Tools (NEW!)

NUS Policy for Use of AI in Teaching and Learning