Singapore, Singapore Last checked Oct 12, 2026

National University of Singapore (NUS)

Independent · Open access · Not an official university page

What would you like to check?

Can I use AI for my coursework?Subject to the applicable conditions Do I need to disclose AI use?Disclosure requirements and exceptions Can I upload sensitive data?Scope-specific restrictions Which tools can I access?Subject to the applicable conditions

Use in ChatGPT ↗Before you submitAdvice and precautions Record updates ↓

Explore the current record by topic

Coursework

Subject to the applicable conditions

AI tools are permitted by default for unsupervised take-home coursework with mandatory disclosure. Work must be the student's own, and quality is evaluated independently of AI use. Course designers hold pedagogical discretion to tailor rules based on learning outcomes.

Official source ↗

Exams

Scope-specific restrictions

If instructors decide students should be forbidden from using AI for an assessment (for pedagogical reasons), crucial aspects of that assessment should be conducted in person and under instructor supervision. AI detector verdicts are inadmissible as evidence in disciplinary processes or to penalize work.

Official source ↗

Disclosure

Disclosure requirements and exceptions

Explicit acknowledgement of AI assistance is required for all submitted academic work where AI was used, specifying the tool and nature of assistance according to style guide conventions and course guidelines.

Official source ↗

Privacy & sensitive data

Scope-specific restrictions

Instructors should use NUS-approved AI tools whenever NUS data is involved (Section 2.3). ChatGPT Edu provides a university-managed workspace where conversations and data are not used to train OpenAI models; however, uploading sensitive, confidential, or legally protected university data is NOT verified as approved without specific institutional data classification. In no circumstances should AI tool accounts be shared; using a shared account may raise collusion concerns and, where misconduct is established, may result in disciplinary action.

Official source ↗

Institutional tools

Subject to the applicable conditions

ChatGPT Edu is announced for campus-wide availability to all students, staff, and faculty starting 31 August 2026. In-house AI-Know tools are primarily staff-focused, while students have access to CFG AI-Xplore via the Marketplace tab, and AI Sense Maker was announced (scheduled 20 August 2026) for research literature discovery. Tool access does not constitute course assessment permission.

Official source ↗

Research & publication

Important conditions remain unverified

University-wide policy on AI use in research remains unverified/unknown from current official guidance. Specific domain guidance is established for publisher submissions and citation: submissions to NUS Press strictly forbid AI-generated text, polishing, and AI-generated images/diagrams, requiring detailed disclosure upon submission; NUS Libraries advises consulting specific publisher policies and style guides for research writing.

Official source ↗

Academic integrity

Scope-specific restrictions

Submitting unacknowledged AI-generated work constitutes plagiarism and academic dishonesty under the Code of Student Conduct. AI detector verdicts are inadmissible as evidence in disciplinary processes or to penalize work (Section 2.6). Account sharing is strictly prohibited under any circumstances; using a shared account may raise collusion concerns and, where misconduct is established, may result in disciplinary action (Section 3).

Official source ↗

Teaching guidance

Guidance, with task-specific requirements

Prior approval is required through the AI System for Assurance and Evaluation before deploying AI to provide instruction, feedback, or marks (Section 2.4). Instructors should be transparent about AI deployment (Section 2.1). In general, except for AI marking of objective or closed-ended assessments, a human instructor or reviewer should remain in the loop. Spot checks should still be conducted even where AI scoring is considered reliable.

Official source ↗

Security and procurement

Scope-specific restrictions

Educational deployment requires prior approval through the AI System for Assurance and Evaluation under the policy’s specified governance. ChatGPT Edu no-training protection is documented; approval for sensitive data and general procurement/security procedures remain unverified.

Official source ↗

Do

Check the assessment instructions and acknowledge permitted take-home use.
Site advice
Check the assessment instructions and acknowledge permitted take-home use.
Scope
Read each cited rule for its course, academic unit, activity and exceptions. Site advice does not create a university obligation.
NUS policy sets the default assumption that AI tool use is permitted for unsupervised (take-home) assessments with due acknowledgement; if an assessment forbids AI for pedagogical reasons, crucial aspects of that assessment should be conducted in person and under instructor supervision.
Original evidence and scope
NUS policy sets the default assumption that AI tool use is permitted for unsupervised (take-home) assessments with due acknowledgement; if an assessment forbids AI for pedagogical reasons, crucial aspects of that assessment should be conducted in person and under instructor supervision.
clm-nus-unsupervised-default-permitted
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 under instructor supervision, to ensure that students do not access those tools. 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.
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Official university source ↗
For teaching deployment, obtain the required prior approval.
Requirement in this scope
For teaching deployment, obtain the required prior approval.
Scope
Read each cited rule for its course, academic unit, activity and exceptions. Site advice does not create a university obligation.
NUS policy requires prior approval by Head of Department or Deanery under oversight of Chair of AI-COP, obtained via submission to the AI System for Assurance and Evaluation, before deploying AI to provide instruction, feedback, or marks. In general, except for AI marking of objective or closed-ended assessments, a human instructor or reviewer should remain in the loop, and spot checks should still be conducted even where scoring is considered reliable.
Original evidence and scope
NUS policy requires prior approval by Head of Department or Deanery under oversight of Chair of AI-COP, obtained via submission to the AI System for Assurance and Evaluation, before deploying AI to provide instruction, feedback, or marks. In general, except for AI marking of objective or closed-ended assessments, a human instructor or reviewer should remain in the loop, and spot checks should still be conducted even where scoring is considered reliable.
clm-nus-ai-marking-approval
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 the Head of Department or relevant Deanery, under the oversight of the Chair of the AI-COP. This is meant as due diligence to balance innovation with ethical considerations. Institutional approval also shields the individual instructors from complaints. Approval must be obtained through a submission to the AI System for Assurance and Evaluation.
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Official university source ↗
In general, except for AI marking of objective or closed-ended assessments, a human instructor or reviewer should always be in the loop, e.g., to review, revise, and finalize the output of the AI. Failure to comply with this section may constitute a breach of University policy and may be addressed through the relevant staff governance processes.
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Official university source ↗
Even where there is confidence that an AI tool can reliably generate accurate scores or comments without human intervention, spot checks should still be conducted on the output. In all cases, the instructor remains ultimately responsible for the use of the tool and its impact on learners (see 2.2 above).
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Official university source ↗
For NUS Press submissions, check its separate manuscript policy.
Site advice
For NUS Press submissions, check its separate manuscript policy.
Scope
Read each cited rule for its course, academic unit, activity and exceptions. Site advice does not create a university obligation.
NUS Press prohibits submitting manuscripts containing wording from AI models (including AI polishing/streamlining) and requires detailed tool declarations upon submission; AI images and diagrams are not accepted.
Original evidence and scope
NUS Press prohibits submitting manuscripts containing wording from AI models (including AI polishing/streamlining) and requires detailed tool declarations upon submission; AI images and diagrams are not accepted.
draft-nus-nuspress-ai-submission-policy
Please do not submit texts that include wording from AI models, even if you are prompting models to simply "polish", "streamline" or "correct" your draft.
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Official university source ↗
When you submit, we will ask for a detailed declaration of your use of AI tools, including which model version and number was used (ie "OpenAI GPT-5.6 Sol"), how and why.
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Official university source ↗
At this moment, we are not accepting AI-generated images or diagrams for publication.
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Official university source ↗

Don’t

Do not submit AI work without acknowledging its use.
Requirement in this scope
Do not submit AI work without acknowledging its use.
Scope
Read each cited rule for its course, academic unit, activity and exceptions. Site advice does not create a university obligation.
NUS policy states that submitting AI-generated work without acknowledging AI use constitutes academic dishonesty and plagiarism, punishable under university disciplinary processes assuming the case can be made.
Original evidence and scope
NUS policy states that submitting AI-generated work without acknowledging AI use constitutes academic dishonesty and plagiarism, punishable under university disciplinary processes assuming the case can be made.
clm-nus-unacknowledged-plagiarism
A student found to have submitted work generated by AI who has failed to acknowledge their use of AI can still be sanctioned for plagiarism, assuming the case can be made. Such a student has committed academic dishonesty in misrepresenting the nature and source of their work.
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Official university source ↗
Do not share AI tool accounts.
Requirement in this scope
Do not share AI tool accounts.
Scope
Read each cited rule for its course, academic unit, activity and exceptions. Site advice does not create a university obligation.
NUS policy strictly prohibits sharing AI tool accounts under any circumstances; using a shared account may raise collusion concerns and, where misconduct is established, may result in disciplinary action.
Original evidence and scope
NUS policy strictly prohibits sharing AI tool accounts under any circumstances; using a shared account may raise collusion concerns and, where misconduct is established, may result in disciplinary action.
draft-nus-account-sharing-prohibition
In no circumstances should AI tool accounts be shared with others. The use of a shared account may raise concerns about collusion and, where misconduct is established, may result in disciplinary action.
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Official university source ↗
Do not use detector verdicts as disciplinary evidence or a reason to penalize work.
Requirement in this scope
Do not use detector verdicts as disciplinary evidence or a reason to penalize work.
Scope
Read each cited rule for its course, academic unit, activity and exceptions. Site advice does not create a university obligation.
NUS policy states that verdicts of AI tools purporting to determine whether an input was generated by AI are not admissible as evidence in disciplinary processes to charge students with academic dishonesty or as justification to penalize student work.
Original evidence and scope
NUS policy states that verdicts of AI tools purporting to determine whether an input was generated by AI are not admissible as evidence in disciplinary processes to charge students with academic dishonesty or as justification to penalize student work.
clm-nus-ai-detectors-inadmissible
The verdicts of current AI tools purporting to determine whether an analysed input has been generated by AI are not admissible as evidence in a disciplinary process to charge a student with academic dishonesty or as justification to penalize student work.
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Official university source ↗

AI use questioned?Investigation, possible outcomes and appeal

AI tools & access

ChatGPT EduInstitutional access / licenceConditions apply
unknown
ChatGPT Edu · Access conditions
Audience: all_students_faculty_and_staff. Tool access is separate from assessment permission. Sensitive-data approval: unknown.
unknown
unknown
ChatGPT Edu · Official evidence
Source 1 ↗
Original quotation
From 31 August 2026, all NUS students, faculty and staff will have access to ChatGPT Edu by OpenAI, further strengthening NUS’ growing portfolio of AI platforms and services. Unlike the free ChatGPT, it provides NUS with broader access to core capabilities within a secure, university-managed environment with stronger privacy, security and administrative controls. Conversations and data within the NUS workspace are not used to train OpenAI’s models.
CFG AI-XploreOfficial recommendationConditions apply
Sign in to ai-know.nus.edu.sg with NUS credentials, navigate to AI-Create in left sidebar, access Marketplace tab, click CFG AI-Xplore
CFG AI-Xplore · Access conditions
Audience: current_nus_students. Tool access is separate from assessment permission. Sensitive-data approval: unknown.
Sign in to ai-know.nus.edu.sg with NUS credentials, navigate to AI-Create in left sidebar, access Marketplace tab, click CFG AI-Xplore
unknown
CFG AI-Xplore · Official evidence
Source 1 ↗
Original quotation
CFG AI-Xplore is a virtual career assistant chatbot built on the AI-Know suite designed for NUS students.
Source 2 ↗
Original quotation
All NUS students can use CFG AI-Xplore to access career information and NUS-supported resources.
Source 3 ↗
Original quotation
Unfortunately, alumni cannot access CFG AI-Xplore — the chatbot is only available to current NUS students; please contact the NUS Centre for Future-ready Graduates at careers@nus.edu.sg if you have further questions.

These tools have audience, mode or purpose limits; access is not established for all students.

Tools for specific users and service modes

AI-KnowOfficial recommendationConditions apply
Available to staff across 120+ departments; student access partially enabled via CFG AI-Xplore in Marketplace tab
AI-Know · Access conditions
Audience: staff_departments_primary. Tool access is separate from assessment permission. Sensitive-data approval: unknown.
Available to staff across 120+ departments; student access partially enabled via CFG AI-Xplore in Marketplace tab
unknown
AI-Know · Official evidence
Source 1 ↗
Original quotation
Developed in-house by the Enterprise Services Team at NUS IT in collaboration with departments across the University, AI-Know is a university-wide initiative aimed at empowering, enabling, and educating the NUS community on Generative AI (GenAI). Designed as a one-stop super-app for AI-driven tools and training, AI-Know has already impacted nearly 1,000 staff members across more than 120 departments, driving unprecedented levels of digital transformation and innovation.
AI-ChatOfficial recommendationConditions apply
Staff access via AI-Know; student backend access unverified
AI-Chat · Access conditions
Audience: staff_departments_primary. Tool access is separate from assessment permission. Sensitive-data approval: unknown.
Staff access via AI-Know; student backend access unverified
unknown
AI-Chat · Official evidence
Source 1 ↗
Original quotation
At the heart of AI-Know is a centralised suite of AI productivity tools, namely, AI-Chat, AI-Draw, AI-Minute, and AI-Guide These tools are revolutionising traditional workflows by automating manual tasks, enhancing decision-making, and boosting efficiency across administrative and academic domains.
AI-CreateOfficial recommendationConditions apply
Staff access builder via AI-Know; students access Marketplace tab for published chatbots
AI-Create · Access conditions
Audience: staff_builders_and_marketplace_consumers. Tool access is separate from assessment permission. Sensitive-data approval: unknown.
Staff access builder via AI-Know; students access Marketplace tab for published chatbots
unknown
AI-Create · Official evidence
Source 1 ↗
Original quotation
One of AI-Know’s standout features is its emphasis on citizen development, enabling staff to independently create AI solutions via the AI-Create platform.
AI-DrawOfficial recommendationConditions apply
Staff access via AI-Know; student backend access unverified
AI-Draw · Access conditions
Audience: staff_departments_primary. Tool access is separate from assessment permission. Sensitive-data approval: unknown.
Staff access via AI-Know; student backend access unverified
unknown
AI-Draw · Official evidence
Source 1 ↗
Original quotation
At the heart of AI-Know is a centralised suite of AI productivity tools, namely, AI-Chat, AI-Draw, AI-Minute, and AI-Guide These tools are revolutionising traditional workflows by automating manual tasks, enhancing decision-making, and boosting efficiency across administrative and academic domains.
AI-GuideOfficial recommendationConditions apply
Staff access via AI-Know; student backend access unverified
AI-Guide · Access conditions
Audience: staff_departments_primary. Tool access is separate from assessment permission. Sensitive-data approval: unknown.
Staff access via AI-Know; student backend access unverified
unknown
AI-Guide · Official evidence
Source 1 ↗
Original quotation
At the heart of AI-Know is a centralised suite of AI productivity tools, namely, AI-Chat, AI-Draw, AI-Minute, and AI-Guide These tools are revolutionising traditional workflows by automating manual tasks, enhancing decision-making, and boosting efficiency across administrative and academic domains.
AI-MinuteOfficial recommendationConditions apply
Staff access via AI-Know; student backend access unverified
AI-Minute · Access conditions
Audience: staff_departments_primary. Tool access is separate from assessment permission. Sensitive-data approval: unknown.
Staff access via AI-Know; student backend access unverified
unknown
AI-Minute · Official evidence
Source 1 ↗
Original quotation
For instance, the AI-Minute tool alone has saved an estimated 9,480 man-hours annually by automating the generation of meeting minutes.
AI Sense MakerOfficial recommendationUnder review
Web-based literature discovery platform powered by OpenAI LLM indexing ScholarBank and Digital Gems collections; announced in official news release to be officially launched on 20 August 2026 (active deployment page unverified)
AI Sense Maker · Access conditions
Audience: students_and_researchers. Announced service; active deployment is unverified. Tool access is separate from assessment permission. Sensitive-data approval: unknown.
Web-based literature discovery platform powered by OpenAI LLM indexing ScholarBank and Digital Gems collections; announced in official news release to be officially launched on 20 August 2026 (active deployment page unverified)
unknown
AI Sense Maker · Official evidence
Source 1 ↗
Original quotation
In a first for Southeast Asia, NUS Libraries and NUS IT have jointly developed AI Sense Maker, a proprietary web-based conversational AI platform powered by OpenAI’s LLM. To be officially launched on 20 August 2026, AI Sense Maker draws on over 150,000 digitised materials from NUS Libraries’ ScholarBank and Digital Gems collections.

Record updatesLast 90 days · Recorded updates: 2

Updates to this site's reviewed record, not confirmation that the university changed its policy.

2026-10-27Page update
Other records · Page update
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2026-10-14Held / removed from current conclusions · Record addition · Site correction
Academic integrity · Teaching · 4 more topics · Records involved: 22 (14 corrected / adjusted · 7 added · 1 held)
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Reviewed claims

Held conclusions and historical evidence (1)

These original records and prior review states are retained for provenance, not as current permissions, duties or precise deadlines.

Student disciplinary decisions under NUS Statute 6 feature two adjudication tiers with a general 14-day appeal clock under Regulation 10; detailed statutory exceptions, filing formalities, and start events remain UNVERIFIED pending full statute text.

Current status: held; historical review state: agent_reviewed

draft-nus-statute6-disciplinary-appeals

Students can choose to appeal within fourteen days after receiving notice of the decision made by the BOD (clause 25 of NUS Regulation 10 Discipline with Respect to Students). Appeals are heard by the Disciplinary Appeals Board (DAB) chaired by a member from NUS Board of Trustees (BOT) and comprises two other members of the Senate.
Discipline with Respect to Students
5653c21c3657a97c37c4734ebae0fdb052beeb115a0bbfc816360d3f9b1ea880

Official sources

7 official URLs; 7 source attributions and their captured versions retained.

NUS IT wins Digital Achievers (Team) Award at Tech Leader Awards 2025 for groundbreaking AI-Know project

news.nus.edu.sg

University official source

Hash and captured version

NUS IT wins Digital Achievers (Team) Award at Tech Leader Awards 2025 for groundbreaking AI-Know project · 2026-10-12T06:14:32Z

Representation unspecified in this historical record; do not assume an original-file hash.

fef5a298b4341899c8d3efc7d9175b2a83d1ee800b3f23b9151f33b6d168ffee

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Policy for the Use of AI in Teaching and Learning (Current version 15 Sept 2026)

ctlt.nus.edu.sg

University official source

Hash and captured version

Policy for the Use of AI in Teaching and Learning (Current version 15 Sept 2026) · 2026-10-12T06:13:00Z

Representation unspecified in this historical record; do not assume an original-file hash.

c20f77349e531f34cf803f2ef4ebfd5478f6e666ebb6a150530659eec6590838

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

AI Guidelines - Library Essentials

libguides.nus.edu.sg

University official source

Hash and captured version

AI Guidelines - Library Essentials · 2026-10-12T06:14:31Z

Representation unspecified in this historical record; do not assume an original-file hash.

700a31d6f3059603617467498c795a2a6fe22ec878e9c065dd4fda2fd368a039

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Citation Styles: Citing AI Tools (NEW!)

libguides.nus.edu.sg

University official source

Hash and captured version

Citation Styles: Citing AI Tools (NEW!) · 2026-10-12T06:14:30Z

Representation unspecified in this historical record; do not assume an original-file hash.

801e94612e01b93f6a3bba59a76e3bb20f1c9f4b48c8ef64cf2ee8eebf88c1c0

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

NUS powers education, research and administration to new heights with AI through a strategic collaboration with OpenAI

news.nus.edu.sg

University official source

Hash and captured version

NUS powers education, research and administration to new heights with AI through a strategic collaboration with OpenAI · 2026-10-12T06:14:33Z

Representation unspecified in this historical record; do not assume an original-file hash.

26627553489b1bcb14ea0673635a810d3c08c8737ee02a181465d9baaccf2b12

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

NUS Press AI Policy (1 October 2026)

nuspress.nus.edu.sg

University official source

Hash and captured version

NUS Press AI Policy (1 October 2026) · 2026-10-12T06:14:34Z

Representation unspecified in this historical record; do not assume an original-file hash.

b3f9174e3339773a0b3fe4d3f815a14c0d0e10cea4a454065561e85602ec246b

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

CFG AI-Xplore Career Assistant Chatbot

www.nus.edu.sg

University official source

Hash and captured version

CFG AI-Xplore Career Assistant Chatbot · 2026-10-12T06:14:35Z

Representation unspecified in this historical record; do not assume an original-file hash.

f39508c0bc6d03479f34824fefd61e4c8e856088a55bebf7235dcbeceac9fd4e

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Record information, JSON & citation

Review layers: claim review applies to the claims only. Analysis is a separate machine-generated summary awaiting review. Coverage scores do not establish complete policy knowledge.

Claim review state: agent_reviewed
Analysis review state: machine_candidate
Record revision: v6-audit-fix-20261014
Dataset release: public-release-20260924-002
Correction published: 2026-10-14T02:23:21.633198Z
Student snapshot: Pending independent agent review; not an approved snapshot

Current reviewed JSON · Historical baseline

Published scoped record correction; current JSON and MCP use the same reviewed record, while the previous baseline is retained in history. Institution-wide audit remains PARTIAL.

Full statutory texts of NUS Statute 6 (Discipline with Respect to Students) and Regulation 10/10A were not obtained. Disciplinary appeals web page confirms general 14-day clock under Regulation 10 clauses 13 & 25, but exact legal formalities (calendar vs working days, start event, formal exceptions) remain UNVERIFIED.
Current IT help/FAQ page confirming individual student ChatGPT Edu login flow (SSO URL), zero-cost guarantee to students, and active model versions was not obtained. Announcement confirms campus-wide access starting 31 Aug 2026, but specific account onboarding instructions remain unverified.
Zero model training on workspace conversations is established, but formal logging schedules, search query retention, administrative audit retention, and third-party vendor data retention periods remain unstated in public news release.
NUS CTLT Policy does not contain an explicit reasonable adjustment or assistive technology exception clause for students with disabilities requiring AI accommodation.
Original bundle record enforcement:national-university-of-singapore:nus-fact-5 describes Department of Pharmacy fitness-to-practise advisory counseling for misconduct; lacks general AI bridge evidence and general university applicability; kept as unverified historical record in remainingRecordKeys.
University-wide institutional policy governing generative AI use in academic research, theses, and grant projects is unverified/unknown from current published guidance. Official rules are verified only for NUS Press manuscript submissions and NUS Libraries citation advice.