The University of Edinburgh

The following uses of generative and agentic AI are not acceptable and constitute misconduct: if you use them you risk investigation and penalties.

Evidence locator: Student guidance > Unacceptable uses of generative AI for assessment > Preamble; Extracted text SHA256 9be0bc084bb1fdfc67816d352bc4d8beaad9d262b04beb6ef5a72f7fd21afa65; original binding lines 25–25; characters 3748–3895; excerpt offset 0–147

Presenting AI outputs as your own, original work.

Evidence locator: Student guidance > Unacceptable uses of generative AI for assessment > Item 1; Extracted text SHA256 9be0bc084bb1fdfc67816d352bc4d8beaad9d262b04beb6ef5a72f7fd21afa65; original binding lines 26–26; characters 3896–3945; excerpt offset 0–49

Using an AI translator to convert assessed work to English before submission: English is the language of teaching and assessment at Edinburgh – machine translation is treated as false authorship and is not acceptable.

Evidence locator: Student guidance > Unacceptable uses of generative AI for assessment > Item 2; Extracted text SHA256 9be0bc084bb1fdfc67816d352bc4d8beaad9d262b04beb6ef5a72f7fd21afa65; original binding lines 27–27; characters 3946–4163; excerpt offset 0–217

Submitting an assessment which includes elements of AI-generated text without acknowledgment.

Evidence locator: Student guidance > Unacceptable uses of generative AI for assessment > Item 3; Extracted text SHA256 9be0bc084bb1fdfc67816d352bc4d8beaad9d262b04beb6ef5a72f7fd21afa65; original binding lines 28–28; characters 4164–4257; excerpt offset 0–93

Using an AI agent or AI browser to complete any type of work – assessed or not – within your virtual learning environment.

Evidence locator: Student guidance > Unacceptable uses of generative AI for assessment > Item 7; Extracted text SHA256 9be0bc084bb1fdfc67816d352bc4d8beaad9d262b04beb6ef5a72f7fd21afa65; original binding lines 32–32; characters 4565–4687; excerpt offset 0–122

Be transparent about if/how you used AI. Never claim AI output as your own work. Always verify accuracy and appropriateness.

Evidence locator: Staff guidance > Summary principles; Extracted text SHA256 40e2b819c7e833f7f7bcf22fef48682ce7737add97bcd5408c3a07e7a096b479; original binding lines 7–7; characters 608–732; excerpt offset 0–124

Do not rely on AI detection tools to confirm authorship. They misclassify human and AI content.

Evidence locator: Staff guidance > AI detection tools; Extracted text SHA256 40e2b819c7e833f7f7bcf22fef48682ce7737add97bcd5408c3a07e7a096b479; original binding lines 30–30; characters 5319–5414; excerpt offset 0–95

There is currently no reliable automated method to detect AI generated content or verify provenance.

Evidence locator: Staff guidance > Key risks; Extracted text SHA256 40e2b819c7e833f7f7bcf22fef48682ce7737add97bcd5408c3a07e7a096b479; original binding lines 40–40; characters 6497–6597; excerpt offset 0–100

Using an AI agent or AI browser to complete any type of work – assessed or not – within your virtual learning environment.

Evidence locator: Student guidance > Unacceptable uses of generative AI for assessment > Item 7; Extracted text SHA256 9be0bc084bb1fdfc67816d352bc4d8beaad9d262b04beb6ef5a72f7fd21afa65; original binding lines 32–32; characters 4565–4687; excerpt offset 0–122

All work submitted for assessment should be your own original work. Some assessments may require you to sign a declaration to state this – please check with your Course Organiser on this point. It is not acceptable to present AI-generated content as your own work. If you do, this will be regarded as academic misconduct.

Evidence locator: Registry PDF October 2024 > Page 5 > GenAI and academic misconduct; Extracted text SHA256 0b83d13d721b28d93a3548cbcdbcb27966073abc4231ca2defa45ee8a54912da; original binding lines 203–207; characters 10176–10497; excerpt offset 0–321

Before handing in your assessed work, make sure you acknowledge the use of GenAI, where used.

Evidence locator: Registry PDF October 2024 > Page 2 > Golden Rules for GenAI Use > Rule 3; Extracted text SHA256 0b83d13d721b28d93a3548cbcdbcb27966073abc4231ca2defa45ee8a54912da; original binding lines 42–43; characters 2612–2705; excerpt offset 0–93

Presenting AI outputs as your own, original work.

Evidence locator: Student guidance > Unacceptable uses of generative AI for assessment > Item 1; Extracted text SHA256 9be0bc084bb1fdfc67816d352bc4d8beaad9d262b04beb6ef5a72f7fd21afa65; original binding lines 26–26; characters 3896–3945; excerpt offset 0–49

Using an AI translator to convert assessed work to English before submission: English is the language of teaching and assessment at Edinburgh – machine translation is treated as false authorship and is not acceptable.

Evidence locator: Student guidance > Unacceptable uses of generative AI for assessment > Item 2; Extracted text SHA256 9be0bc084bb1fdfc67816d352bc4d8beaad9d262b04beb6ef5a72f7fd21afa65; original binding lines 27–27; characters 3946–4163; excerpt offset 0–217

Submitting an assessment which includes elements of AI-generated text without acknowledgment.

Evidence locator: Student guidance > Unacceptable uses of generative AI for assessment > Item 3; Extracted text SHA256 9be0bc084bb1fdfc67816d352bc4d8beaad9d262b04beb6ef5a72f7fd21afa65; original binding lines 28–28; characters 4164–4257; excerpt offset 0–93

Submitting an assessment which includes AI-generated images, audio or video without acknowledgment.

Evidence locator: Student guidance > Unacceptable uses of generative AI for assessment > Item 4; Extracted text SHA256 9be0bc084bb1fdfc67816d352bc4d8beaad9d262b04beb6ef5a72f7fd21afa65; original binding lines 29–29; characters 4258–4357; excerpt offset 0–99

Submitting an assessment which includes AI-generated mathematical formulae or reasoning, or computer code, without acknowledgment.

Evidence locator: Student guidance > Unacceptable uses of generative AI for assessment > Item 5; Extracted text SHA256 9be0bc084bb1fdfc67816d352bc4d8beaad9d262b04beb6ef5a72f7fd21afa65; original binding lines 30–30; characters 4358–4488; excerpt offset 0–130

Citing and referencing AI-found sources without reading and verifying them.

Evidence locator: Student guidance > Unacceptable uses of generative AI for assessment > Item 6; Extracted text SHA256 9be0bc084bb1fdfc67816d352bc4d8beaad9d262b04beb6ef5a72f7fd21afa65; original binding lines 31–31; characters 4489–4564; excerpt offset 0–75

Submission deadlines An appeal cannot be lodged until the Board of Examiners or decision-maker has published its final decision. For course marks or degree outcomes, you will be notified of final decisions in EUCLID Student View. Please note that results on LEARN may not yet be ratified or moderated so please check EUCLID. You must submit your appeal promptly and within the timescales below. Appeals against Academic decisions Year of study Appeal timescale Undergraduate Final Year within 30 working days of the result being issued Undergraduate other years within 10 working days of the result being issued Postgraduate taught and research students – all years within 30 working days of th

Evidence locator: Registry Timescales > Submission deadlines > Academic decision appeals table (UG Non-final 10 days, UG Final 30 days, PGT/PGR 30 days; EUCLID decision notice); Extracted text SHA256 a38dc7e240f5adfd4a9757a4337f1394f08ca6bba99a49ee6a875a74b8f4e5e0; original binding lines 5–22; characters 90–811; excerpt offset 0–700

e result being issued

Evidence locator: Registry Timescales > Submission deadlines > Academic decision appeals table (UG Non-final 10 days, UG Final 30 days, PGT/PGR 30 days; EUCLID decision notice); Extracted text SHA256 a38dc7e240f5adfd4a9757a4337f1394f08ca6bba99a49ee6a875a74b8f4e5e0; original binding lines 5–22; characters 90–811; excerpt offset 700–721

Appeals against decisions of Student Discipline Officers or the Student Discipline Committee All - within 10 working days of the receipt of the decision. Appeals against decisions of Fitness to Practise Panels All - within 10 working days of the receipt of the decision.

Evidence locator: Registry Timescales > Submission deadlines > Student Discipline and Fitness to Practise Panels (10 working days); Extracted text SHA256 a38dc7e240f5adfd4a9757a4337f1394f08ca6bba99a49ee6a875a74b8f4e5e0; original binding lines 24–27; characters 813–1083; excerpt offset 0–270

Late appeals will only be considered in extraordinary circumstances that explain and evidence why the appeal could not be submitted on time . The decision as to whether or not extraordinary circumstances exist for acceptance of an appeal is taken by an appeal committee. For late appeals, students are expected to include any explanation or evidence for lateness in the appeal submission. Appeals submitted over 1 year after the ratified/publication date of the original decision being challenged will not be considered under any circumstances.

Evidence locator: Registry Timescales > Late appeals; Extracted text SHA256 a38dc7e240f5adfd4a9757a4337f1394f08ca6bba99a49ee6a875a74b8f4e5e0; original binding lines 35–36; characters 1403–1947; excerpt offset 0–544

All forms of academic misconduct are regarded as an offence and are punishable under the University’s Code of Student Conduct. Suspected cases are investigated by one of the University’s network of School and College Academic Misconduct Officers ( SAMOS / CAMOS ) who are responsible for the investigation at School or College level, and for determining appropriate penalties.

Evidence locator: Academic misconduct procedure > Investigation procedures; Extracted text SHA256 157d5c1a665f9c07050431f1aaf5a8075ec7e710593161458d9a347c86940dd4; original binding lines 5–5; characters 80–456; excerpt offset 0–376

Allegations relating to the research undertaken by University students will be investigated using the Academic Misconduct Investigation Procedure.

Evidence locator: Research misconduct > Student research scope; Extracted text SHA256 d1aa45798dd1bc56b39d85ae559f8c247cc47775ef88d761f0d14066aa5cd692; original binding lines 15–15; characters 1199–1345; excerpt offset 0–146

The University does not ban the use of AI, though its use will be restricted for much of your assessed work. Where necessary, some of your courses may also restrict its use in other ways. You must always check your course level guidance.

Evidence locator: Student guidance > Revision March 2026 > General guidance; Extracted text SHA256 9be0bc084bb1fdfc67816d352bc4d8beaad9d262b04beb6ef5a72f7fd21afa65; original binding lines 10–11; characters 520–757; excerpt offset 0–237

The University’s Accessible and Inclusive Learning Policy allows you to make audio recordings of classes but does not allow you to share and distribute these recordings with a third party. AI-based translation apps retain and process recordings in a way that is not allowed in this policy. They can also negatively effect the group dynamic in tutorials and seminars. As a result, you must not use third-party AI-based translation apps in class.

Evidence locator: Student guidance > Use of live translation apps in class; Extracted text SHA256 9be0bc084bb1fdfc67816d352bc4d8beaad9d262b04beb6ef5a72f7fd21afa65; original binding lines 35–35; characters 4911–5355; excerpt offset 0–444

You will not be penalised for using GenAI, as long as you are working within the acceptable uses of GenAI outlined, and you are adhering to any other restrictions that have been specified for a particular assessment.

Evidence locator: Registry PDF October 2024 > Page 3 > Acceptable Uses of GenAI; Extracted text SHA256 0b83d13d721b28d93a3548cbcdbcb27966073abc4231ca2defa45ee8a54912da; original binding lines 105–107; characters 5546–5762; excerpt offset 0–216

Before using GenAI in any assessed work, please check whether there are any restrictions. This should be mentioned in the assessment task. If not, then ask your Course Organiser. Some assessments may explicitly ask you to work with AI tools and to analyse and critique the content it generates. Other assessments may specify, for good reason, that AI tools should not be used in particular ways.

Evidence locator: Registry PDF October 2024 > Page 2 > Acceptable Uses of GenAI; Extracted text SHA256 0b83d13d721b28d93a3548cbcdbcb27966073abc4231ca2defa45ee8a54912da; original binding lines 62–66; characters 3846–4241; excerpt offset 0–395

keeps your chat histories and document downloads private to you in ELM, and is free to all staff and students.

Evidence locator: Staff guidance > Using ELM > Privacy; Extracted text SHA256 40e2b819c7e833f7f7bcf22fef48682ce7737add97bcd5408c3a07e7a096b479; original binding lines 47–47; characters 7482–7592; excerpt offset 0–110

Protect copyright, confidentiality and personal data. Assume anything put into third-party tools is shared externally.

Evidence locator: Staff guidance > Data protection principles; Extracted text SHA256 40e2b819c7e833f7f7bcf22fef48682ce7737add97bcd5408c3a07e7a096b479; original binding lines 8–8; characters 733–851; excerpt offset 0–118

Do not use ELM with identifiable patient/clinical data or any identifiable research participant data.

Evidence locator: Staff guidance > Special data restrictions; Extracted text SHA256 40e2b819c7e833f7f7bcf22fef48682ce7737add97bcd5408c3a07e7a096b479; original binding lines 8–8; characters 852–953; excerpt offset 0–101

Using an AI agent within Learn or any other University learning or assessment platform which requires you to log in is not permitted . Sharing your login details with an agent or agentic browser is a breach of the University Computing Acceptable Use Policy . This will result in your access to University digital services being removed and disciplinary action being taken against you.

Evidence locator: Student guidance > Agentic AI > Login restriction; Extracted text SHA256 9be0bc084bb1fdfc67816d352bc4d8beaad9d262b04beb6ef5a72f7fd21afa65; original binding lines 21–21; characters 2560–2944; excerpt offset 0–384

Many vendors are adding AI features to existing software. Treat these as new capabilities that require governance. Do not enable them by default. For systematic or large-scale adoption (including AI in third-party apps or the introduction of AI into an existing platform) for non-research activities, follow the approval process via the ISG Ethics Board, and complete required impact assessments. For Research use of AI follow your normal College Research Ethics Board process. Consider using the AI Impact Assessment guidance to frame decisions, and complete, where appropriate: Data Protection Impact Assessment (DPIA) Equality Impact Assessment (EQIA)

Evidence locator: Staff guidance > Introducing AI through third-party apps > Software governance and impact assessments (ISG Ethics Board, DPIA, EQIA where appropriate); Extracted text SHA256 40e2b819c7e833f7f7bcf22fef48682ce7737add97bcd5408c3a07e7a096b479; original binding lines 61–62; characters 8473–9127; excerpt offset 0–654

The University does not ban the use of generative AI in your research, though its use is restricted for work assessed by the University. Some programmes and disciplines may also restrict its use in other ways. Always check with your supervisors and any programme-level guidelines. If you are considering using generative AI for research in conference papers, posters and publications, you should also consult any guidelines provided by the conference organiser or publisher and make any appropriate declarations. If you are a funded student, check whether your funder stipulates any additional restrictions.

Evidence locator: PGR guidance > Introduction; Extracted text SHA256 23d97b939a07c0a2f4b42ca08a2e4a6006083c664f5507716644243b969c1f2d; original binding lines 9–12; characters 390–997; excerpt offset 0–607

If you choose to use generative AI for aspects of your assessed research – such as your doctoral thesis, MScR dissertation, or annual review submission – it is important to be transparent about how you have done so. You should include a brief acknowledgment in the Declaration of Own Work at the start of your thesis or other submission

Evidence locator: PGR guidance > Acknowledging your use of AI > Declaration of Own Work; Extracted text SHA256 23d97b939a07c0a2f4b42ca08a2e4a6006083c664f5507716644243b969c1f2d; original binding lines 81–81; characters 13041–13377; excerpt offset 0–336

If you choose to use generative AI for aspects of your assessed research – such as your doctoral thesis, MScR dissertation, or annual review submission – it is important to be transparent about how you have done so. You should include a brief acknowledgment in the Declaration of Own Work at the start of your thesis or other submission

Evidence locator: PGR guidance > Acknowledging your use of AI > Declaration of Own Work; Extracted text SHA256 23d97b939a07c0a2f4b42ca08a2e4a6006083c664f5507716644243b969c1f2d; original binding lines 81–81; characters 13041–13377; excerpt offset 0–336

All University of Edinburgh students have free access to ELM (Edinburgh access to Language Models), which offers you a secure gateway to a range of generative AI models.

Evidence locator: Student guidance > Using the University’s own generative AI platform (ELM); Extracted text SHA256 9be0bc084bb1fdfc67816d352bc4d8beaad9d262b04beb6ef5a72f7fd21afa65; original binding lines 56–56; characters 8398–8567; excerpt offset 0–169

Copilot chat service within Edge - you can access this by signing into the Microsoft Edge browser with your University credentials. A green shield will appear, giving you additional protections: https://learn.microsoft.com/en-us/copilot/microsoft-365/enterprise-data-protection

Evidence locator: AI in Microsoft 365 > Can I have access to Copilot? > Edge chat; Extracted text SHA256 6d8d2427642594ddf15a5640bb4b4d7421067a82f7b649a0638edf1d5f5b07e5; original binding lines 17–17; characters 1970–2247; excerpt offset 0–277

Copilot integration with our MS365 services is part of a larger Microsoft 'Copilot for MS365' product that we do not currently have available in our service provision and our licence agreement with Microsoft. ISG currently do not have any plans to make the full Copilot for MS365 license available at this time.

Evidence locator: AI in Microsoft 365 > Can I have access to Copilot? > M365 license unavailable; Extracted text SHA256 6d8d2427642594ddf15a5640bb4b4d7421067a82f7b649a0638edf1d5f5b07e5; original binding lines 14–15; characters 1363–1674; excerpt offset 0–311

All University of Edinburgh students have free access to ELM (Edinburgh access to Language Models), which offers you a secure gateway to a range of generative AI models.

Evidence locator: Student guidance > Using the University’s own generative AI platform (ELM); Extracted text SHA256 9be0bc084bb1fdfc67816d352bc4d8beaad9d262b04beb6ef5a72f7fd21afa65; original binding lines 56–56; characters 8398–8567; excerpt offset 0–169

ELM provides access to a range of language models including a locally-hosted instance of Llama. This has an optimized architecture that can achieve faster response times and reduced power consumption.

Evidence locator: Student guidance > Using the University’s own generative AI platform (ELM) > Llama; Extracted text SHA256 9be0bc084bb1fdfc67816d352bc4d8beaad9d262b04beb6ef5a72f7fd21afa65; original binding lines 60–60; characters 8916–9116; excerpt offset 0–200

The university encourages you to use ELM over other platforms such as GPT, DeepSeek, Grok etc for the following reasons: In ELM your data is secure – it will not be retained by third party services to train their models or for any other purpose. It is free to use for all staff and students, providing the same access for all and saving you money.

Evidence locator: Student guidance > Using the University’s own generative AI platform (ELM) > Benefits; Extracted text SHA256 9be0bc084bb1fdfc67816d352bc4d8beaad9d262b04beb6ef5a72f7fd21afa65; original binding lines 57–59; characters 8568–8915; excerpt offset 0–347

Current staff and students are entitled to use ELM subject to discretionary School approval.

Evidence locator: Availability and Entitlement > Entitlement to use ELM; Extracted text SHA256 aff11f4ef2daffd7cfc47e0ab65896ea11e867f826277830befa5ea0c5417122; original binding lines 7–7; characters 190–282; excerpt offset 0–92

Edinburgh access to Language Models (ELM) Find out about ELM, the University’s central gateway to safer access of Generative Artificial Intelligence for staff and students.

Evidence locator: Guidance for students and staff on AI use > ELM entry; Extracted text SHA256 85dce4f0e6eff6b79bdf8cdce90b8ea66cb7c6f5fe81f9513c51d96a6e3ba6b3; original binding lines 17–19; characters 633–806; excerpt offset 0–173

Copilot integration with our MS365 services is part of a larger Microsoft 'Copilot for MS365' product that we do not currently have available in our service provision and our licence agreement with Microsoft. ISG currently do not have any plans to make the full Copilot for MS365 license available at this time.

Evidence locator: AI in Microsoft 365 > Can I have access to Copilot? > M365 license unavailable; Extracted text SHA256 6d8d2427642594ddf15a5640bb4b4d7421067a82f7b649a0638edf1d5f5b07e5; original binding lines 14–15; characters 1363–1674; excerpt offset 0–311