National University of Singapore (NUS)

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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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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Important! Always check your assignment guidelines for specific instructions on use of AI in your assignment.

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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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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.

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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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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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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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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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Starting from Academic Year 2026/27, THE1008 Applied Generative AI: From Prompting to Evaluation will be a compulsory module for all first-year undergraduates, ensuring every student gains practical skills in effectively interacting with large language models (LLMs) and multimodal AI before they begin their coursework.

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NUS provides students with access to an institutionally supported baseline of AI tools for learning, with specialised or advanced tools provided according to curricular need. Instructors should nevertheless be mindful that differences in access to other AI tools may create or amplify inequities among students.

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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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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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At this moment, we are not accepting AI-generated images or diagrams for publication.

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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.

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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.

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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.

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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.

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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.

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For instance, the AI-Minute tool alone has saved an estimated 9,480 man-hours annually by automating the generation of meeting minutes.

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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.

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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.

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CFG AI-Xplore is a virtual career assistant chatbot built on the AI-Know suite designed for NUS students.

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All NUS students can use CFG AI-Xplore to access career information and NUS-supported resources.

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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.

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Instructors should use NUS-approved AI tools (see the list here) whenever NUS data is involved. “NUS data” refers to information or data that are created, processed, stored, or transmitted by NUS staff, students, or agents, including all data which the University has a legal or contractual obligation to manage, protect, or control.

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NUS's Policy for Use of AI in Teaching and Learning THE1005 on AI Use for Students on the NUSOne page

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