SOAS, University of London has defined AI policies across 11 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, Teaching & Learning. AI tools are generally permitted in coursework, subject to instructor guidelines. Students are required to disclose and attribute AI-generated content in their academic work. The university employs detection and enforcement mechanisms for unauthorized AI use. Research-related AI policies address manuscript preparation, data analysis, research ethics. At the institutional level, the university has established guidelines for faculty and staff AI use, data protection and approved AI tools, AI governance strategy.
There may be some uses of AI tools that are acceptable in some circumstances but this should be explicitly set out by your teacher for each assignment.
You should not use AI tools for assessed coursework unless specifically instructed or allowed by your teachers. If in doubt, please ask.
Any use of generative AI tools in relation to an assessment should always be acknowledged and referenced appropriately.
Remember, output from AI tools can be incorrect or fabricated. You remain responsible for checking the accuracy of any information generated, and are accountable for any work submitted for assessment.
Using an AI text generation tool such as ChatGPT to produce work for assessment where this is not explicitly permitted by the teacher
Submitting work generated in whole or in part by artificial intelligence as one’s own work, where the use of artificial intelligence has not been expressly permitted by the teacher
You should not use AI tools for assessed coursework unless specifically instructed or allowed by your teachers. If in doubt, please ask.
Any use of generative AI tools in relation to an assessment should always be acknowledged and referenced appropriately.
Using an AI text generation tool such as ChatGPT to produce work for assessment where this is not explicitly permitted by the teacher
Submitting work generated in whole or in part by artificial intelligence as one’s own work, where the use of artificial intelligence has not been expressly permitted by the teacher
There are many possible uses for such tools in relation to learning, including:
• Getting explanations or summaries of difficult concepts or texts.
• Translation support.
• Generating ideas for topics, arguments and structures.
• Study support such as creating quiz questions, revision notes or flashcards.
• Practising language skills.
Generative AI tools can be useful and save time, but there are also significant drawbacks. They can produce inaccurate information, biased content, and fabricated references. Their outputs can appear plausible even when wrong. You should use them critically and carefully.
These technologies should support, not replace, your own learning and development. You still need to engage with course materials, think independently, and develop your own academic skills.
You should not use AI tools for assessed coursework unless specifically instructed or allowed by your teachers. If in doubt, please ask.
Any use of generative AI tools in relation to an assessment should always be acknowledged and referenced appropriately.
Submitting work generated in whole or in part by artificial intelligence as one’s own work, where the use of artificial intelligence has not been expressly permitted by the teacher
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not defined
Any use of generative AI tools in relation to an assessment should always be acknowledged and referenced appropriately.
You should clearly state how you used the tool and for what purpose. For example:
I acknowledge the use of [name of AI tool] to [describe use, e.g. generate ideas / summarise a text / check grammar]. The output was reviewed and edited by me, and I take responsibility for the final submission.
You may also need to cite the use of AI according to the referencing style required by your department.
Keep records of any prompts used and the outputs generated, in case your teacher asks you to explain your process.
Using an AI text generation tool such as ChatGPT to produce work for assessment where this is not explicitly permitted by the teacher
Submitting work generated in whole or in part by artificial intelligence as one’s own work, where the use of artificial intelligence has not been expressly permitted by the teacher
Academic misconduct is any action or attempted action that may result in a student obtaining an unfair academic advantage in the assessment of their work, whether or not there is any intention to deceive.
There may be some uses of AI tools that are acceptable in some circumstances but this should be explicitly set out by your teacher for each assignment.
Where information is confidential, personal, commercially sensitive, subject to legal privilege, export controls, contractual restrictions, or otherwise classified as restricted under SOAS information governance requirements, users must not input that information into publicly available generative AI systems unless the service has been approved by SOAS and appropriate contractual, security and data protection safeguards are in place.
Users must ensure that any processing of personal data using AI tools complies with UK data protection legislation and SOAS policies.
Use only IT services approved or provided by SOAS for institutional business, unless explicit authorisation has been granted.
Never disclose confidential information, personal data, or information subject to legal, regulatory, contractual, or ethical restrictions to unauthorised third parties or systems.
SOAS recognises that generative artificial intelligence (AI) technologies such as ChatGPT are rapidly developing and may have legitimate uses in support of learning and teaching.
The use of such tools raises important questions about academic integrity, assessment, transparency and the development of students’ own knowledge and skills.
Our approach at SOAS is to encourage critical engagement with these technologies while ensuring that academic standards and the value of our qualifications are protected.
Knowing your institution's AI policy is step one. DocuMark helps enforce it fairly by empowering universities to manage AI-generated content, prevent cheating, and support student writing through responsible AI use.
SOAS, University of London has defined AI policies in 11 of 12 categories, with an overall coverage score of 92%.
SOAS requires students to acknowledge and reference any use of generative AI in assessments, and the guidance provides a model declaration for doing so. The university also instructs students to keep records of prompts and outputs and to cite AI use in line with the relevant referencing style.
SOAS classifies unauthorized AI-generated assessment work as academic misconduct and places it within formal misconduct procedures. The provided sources specify the offense and indicate that penalties are handled under the academic misconduct policy, but they do not define a university position on AI detection tools.
SOAS prohibits putting confidential, personal, or other restricted university information into public AI systems unless the service has been approved and a compliant agreement is in place. Staff and students must use institution-approved IT services, protect personal data, and ensure processing complies with data protection and information security requirements. The provided sources do not name a general approved AI platform list, but they clearly require approval before restricted data is entered into external AI tools.
Disclaimer:* All university AI policy information presented on this platform is compiled from publicly available information, official university websites, and related academic sources. This data reflects information available at the time of last verification as on 27th February 2026. University and institution names referenced on this platform are the property and trademarks of their respective institutions. Their inclusion does not imply any affiliation with, endorsement by, or partnership with those institutions. Policy coverage scores and categorical indicators are automated assessments derived from available documentation and are provided for informational and comparative purposes only. They do not constitute legal, academic, or compliance advice. Users are advised to exercise their own judgement and independently verify all policy information directly with the respective university before making any academic or institutional decisions. For any queries or corrections, please contact us at support@trinka.ai