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National University of Singapore (NUS)
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différentiel National University of Singapore (NUS) public-release-20260523-001
Première version suivie.
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11 # National University of Singapore (NUS) AI policy diff
22 ## Newly extracted tracker claim
33 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
4+academic_integrity: 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.
5+Evidence (en, 96587c9cdfd8): 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.
6+Tracker checked at: 2026-05-05T22:11:05Z
47 ## Newly extracted tracker claim
58 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
9+teaching: 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.
10+Evidence (en, 96587c9cdfd8): 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.
11+Tracker checked at: 2026-05-05T22:11:05Z
612 ## Newly extracted tracker claim
713 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
14+source_status: NUS has an institutional Policy for Use of AI in Teaching and Learning, supplemented by AI guidelines infographics and resources for students.
15+Evidence (en, 60355f1b4cd7): NUS's Policy for Use of AI in Teaching and Learning; THE1005 on AI Use for Students on the NUSOne page
16+Tracker checked at: 2026-05-05T22:11:05Z
817 ## Newly extracted tracker claim
918 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
19+procurement: NUS policy requires that wherever NUS data is involved, only NUS-approved AI tools should be used.
20+Evidence (en, 96587c9cdfd8): Wherever NUS data is involved, use NUS approved AI tools (see the list here).
21+Tracker checked at: 2026-05-05T22:11:05Z
1022 ## Newly extracted tracker claim
1123 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
24+academic_integrity: NUS requires students to cite AI-generated content according to style guide conventions and to check assignment guidelines for specific AI use instructions.
25+Evidence (en, ee53c1275cea): 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.
26+Tracker checked at: 2026-05-05T22:11:05Z
1227 ## Newly extracted tracker claim
1328 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
29+teaching: 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.
30+Evidence (en, 96587c9cdfd8): 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.
31+Tracker checked at: 2026-05-05T22:11:05Z
1432 ## Newly extracted tracker claim
1533 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
34+academic_integrity: 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.
35+Evidence (en, 96587c9cdfd8): 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.
36+Tracker checked at: 2026-05-05T22:11:05Z
1637 ## Newly extracted tracker claim
1738 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
39+teaching: 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.
40+Evidence (en, 96587c9cdfd8): 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.
41+Tracker checked at: 2026-05-05T22:11:05Z
1842 ## Source attribution added
1943 An official source attribution was added to the tracker record.
44+Source https://ctlt.nus.edu.sg/wp-content/uploads/2026/04/Policy-for-Use-of-AI-in-Teaching-and-Learning.pdf snapshot 96587c9cdfd8612eb7eaf96a6104c2789e51031a4388abcd6f7aa01e46750c1f
45+Tracker checked at: 2026-05-05T22:11:05Z
2046 ## Source attribution added
2147 An official source attribution was added to the tracker record.
48+Source https://libguides.nus.edu.sg/citation/ai snapshot ee53c1275ceaed742d7aeb1d24af41a37b89872b2b8b9506e101838a8f5b3d22
49+Tracker checked at: 2026-05-05T22:11:05Z
2250 ## Source attribution added
2351 An official source attribution was added to the tracker record.
52+Source https://libguides.nus.edu.sg/new2nus/ai_guidelines_infographics snapshot 60355f1b4cd71eafe176f82c72e901358451f1184e87d825e5d007cab0a15e25
53+Tracker checked at: 2026-05-05T22:11:05Z
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