Teaching & Learning
- Students must not submit AI-produced work as their own
- The university also directs students to follow School-level guidance on AI use in their subject
- AI may be used in assessments where applicable, but students should declare that use on the assessment cover sheet and the AI must support rather than replace their independent work
c. not presenting work of others as your own, whether that work was produced
by a person or machine including AI tools.
4.4 Where applicable, if you have used artificial intelligence (AI) in your assessments,
you should declare this on the assessment cover sheet, ensuring transparency and
demonstrating that AI has supported, not replaced, your independent work.
1. Do make it clear where and how you have used GenAI tools in your work.
4. Do follow any School guidance about using AI in your subject.
1. Don’t submit work which has been produced by GenAI as if it were your own. This is academic misconduct according to the NTU Academic Integrity Policy.
- For assessments, students should declare AI use on the assessment cover sheet where applicable, and AI must support rather than replace independent work
- The university also states that approved digital tools used for learning and assessment are checked so they do not undermine assessment integrity, but it does not define a separate exam-specific AI rule in the provided sources
4.4 Where applicable, if you have used artificial intelligence (AI) in your assessments,
you should declare this on the assessment cover sheet, ensuring transparency and
demonstrating that AI has supported, not replaced, your independent work.
2.26 Tools supported and approved by the Digital Technologies department should be
used when creating activities for learning and assessment. All supported solutions,
including generative AI, have been through rigorous checks for compliance with
current legislation, for long-term sustainability, and tested to ensure they do not
undermine the integrity of course assessments.
- NTU says AI can enhance learning, but students should use it to support learning goals rather than substitute for their own knowledge and skills
- AI is permitted as a support tool for study and learning, and the university encourages students to use it ethically and effectively while checking outputs against reliable sources
The Generative AI guidance not only covers important considerations like dos and don’ts, but also prompts on ways to use AI ethically and effectively to support your studies.
Generative AI is a powerful tool that can significantly enhance your learning experience at NTU.
2. Do check and confirm any information GenAI outputs for you by using reliable sources such as Library OneSearch.
5. Do remember that you are at university to develop your own knowledge and skills.
In summary, AI can be used to help you work more productively or creatively but should not be a substitute that you rely on to complete your work.
2.27 The use of AI tools (e.g., for ideation, content generation, coding support, or
language editing) should be surfaced in teaching practice to help students become
critical and ethical users. This includes:
a) Demonstrating how AI can support learning, research and professional
practices;
b) Discussing its limitations, biases, and appropriate use within academic
integrity frameworks;
c) Encouraging reflective use of AI tools to support learning goals rather than
replace them.
- NTU explicitly warns students not to run AI-generated code unless they fully understand it
- In teaching practice, coding support is identified as a type of AI use that should be surfaced and discussed so students become critical and ethical users
5. Don’t run code generated by AI without fully understanding how it works and the action it will perform. You need to be sure what it will do.
2.27 The use of AI tools (e.g., for ideation, content generation, coding support, or
language editing) should be surfaced in teaching practice to help students become
critical and ethical users.
Research
- Researchers must use generative AI with due diligence and in line with research integrity principles
- Disclosure is expected when AI contributes substantively to research outputs beyond routine editing or formatting
2.3.5 In line with emerging research practices, researchers must exercise due
diligence in the use of generative artificial intelligence (AI) tools, ensuring
their application upholds the principles of research integrity, including
honesty, rigour, transparency and accountability. Researchers are
expected to disclose:
2.3.5.1 Disclose the use of AI tools in the development of research outputs,
particularly when AI tools contribute substantively to the content,
structure, or analysis within a research output beyond routine
editing or formatting.
- The research code requires disclosure when AI contributes substantively to analysis within a research output
- The provided sources do not set a more detailed AI-specific rule for data collection, synthetic data, or statistical processing
- Researchers must also check research results before publication, and research data handling must comply with data protection requirements
2.3.5.1 Disclose the use of AI tools in the development of research outputs,
particularly when AI tools contribute substantively to the content,
structure, or analysis within a research output beyond routine
editing or formatting.
2.3.4 Research requires a commitment to the careful, reflective process of
discovery and interpretation. All research results should be checked before
publication.
4.2 Researchers have a duty to comply with all the requirements of current data
protection legislation. All processing of personal data must comply with the terms
of the Data Protection Act 2018, UK General Data Protection Regulation or
equivalent for research conducted outside the UK. Researchers should refer to the
NTU’s guidelines on Data Protection.
- The university also states that guidance on the use of AI in research is being developed as part of its research integrity work
- NTU requires researchers to use generative AI with due diligence and in a way that upholds honesty, rigour, transparency, and accountability
2.3.5 In line with emerging research practices, researchers must exercise due
diligence in the use of generative artificial intelligence (AI) tools, ensuring
their application upholds the principles of research integrity, including
honesty, rigour, transparency and accountability.
• Development of guidance on use of Artificial Intelligence (AI) in research.
Academic Integrity
- For student assessments, AI use should be declared on the assessment cover sheet where applicable, and NTU provides guidance on how to reference generative AI
- For research outputs, researchers are expected to disclose substantive AI use, especially when it contributes to content, structure, or analysis beyond routine editing or formatting
f. How to reference the use of GenAI appropriately through Library guidance on
referencing Generative AI.
4.4 Where applicable, if you have used artificial intelligence (AI) in your assessments,
you should declare this on the assessment cover sheet, ensuring transparency and
demonstrating that AI has supported, not replaced, your independent work.
1. Do make it clear where and how you have used GenAI tools in your work.
2.3.5.1 Disclose the use of AI tools in the development of research outputs,
particularly when AI tools contribute substantively to the content,
structure, or analysis within a research output beyond routine
editing or formatting.
- Undisclosed or improper AI use can be treated as academic misconduct under NTU's academic integrity policy
- The university uses evidence such as Turnitin reports in misconduct review processes, allows students to check Turnitin reports before final submission, and states that students who do not demonstrate academic integrity are subject to review and potential action
1.4 Anyone not demonstrating academic integrity will be subject to review and
potential action under this policy.
b. The opportunity to check Turnitin reports before final submission of
assessment and to amend the work to take account of any issues flagged;
5.2 Where this is the case, they will produce a factual written statement, supported by
any evidence, such as Turnitin reports, within 15 working days of the assessment
deadline, assessment submission or breach (whichever is later). This is then
provided to the relevant School Academic Integrity Lead, or nominee, for further
review.
i. unacknowledged use of digital resources in any form;
j. violations of the NTU Turnitin policy.
1. Don’t submit work which has been produced by GenAI as if it were your own. This is academic misconduct according to the NTU Academic Integrity Policy.
Where a case is thought to be potential serious academic misconduct, either at
the start or as a result of an academic misconduct review, a panel of
independent academic staff is formed to investigate.
Institutional & Administrative
- For teaching staff, NTU says AI use should be surfaced in teaching practice and that supported digital tools, including generative AI, should be agreed at course level to provide a consistent experience across modules
- The provided teaching blog is explicitly opinion rather than policy, and no explicit university-wide rule in the provided sources addresses staff use of AI for grading, feedback, recommendation letters, or administrative communications
Principle 10: A range of supported digital tools, including generative AI, should
be agreed at the course level to provide a consistent student experience across
modules.
2.26 Tools supported and approved by the Digital Technologies department should be
used when creating activities for learning and assessment.
2.27 The use of AI tools (e.g., for ideation, content generation, coding support, or
language editing) should be surfaced in teaching practice to help students become
critical and ethical users.
Please note, the views expressed in this article are the opinion of the author. For NTU policy and guidance in this area please see:
- NTU directs staff to use Digital Technologies-supported and approved tools, including generative AI, for learning and assessment activities
- Students are told not to give GenAI tools access to personal data, research data, copyrighted materials, or university intellectual property, and researchers must comply with data protection law when processing personal data
2.26 Tools supported and approved by the Digital Technologies department should be used when creating activities for learning and assessment. All supported solutions, including generative AI, have been through rigorous checks for compliance with current legislation.
2. Don’t give GenAI tools access to personal data, research data, copyrighted materials or University intellectual property such as lecture slides.
4.2 Researchers have a duty to comply with all the requirements of current data protection legislation. All processing of personal data must comply with the terms of the Data Protection Act 2018, UK General Data Protection Regulation or equivalent for research conducted outside the UK.
- Not defined
- Institutional strategy and governance for AI are decentralized into distinct academic, digital learning, and research integrity frameworks, with a note that specific research AI governance is under development
Not defined.
DocuMark: Responsible AI Use for Academic Integrity
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For student assessments, AI use should be declared on the assessment cover sheet where applicable, and NTU provides guidance on how to reference generative AI. For research outputs, researchers are expected to disclose substantive AI use, especially when it contributes to content, structure, or analysis beyond routine editing or formatting.
Undisclosed or improper AI use can be treated as academic misconduct under NTU's academic integrity policy. The university uses evidence such as Turnitin reports in misconduct review processes, allows students to check Turnitin reports before final submission, and states that students who do not demonstrate academic integrity are subject to review and potential action.
NTU directs staff to use Digital Technologies-supported and approved tools, including generative AI, for learning and assessment activities. Students are told not to give GenAI tools access to personal data, research data, copyrighted materials, or university intellectual property, and researchers must comply with data protection law when processing personal data.