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Examens · Academische integriteit · 11 andere onderwerpen
The University of Edinburgh does not ban the use of generative AI by students, though its use is restricted for much assessed work.
The University of Edinburgh does not ban the use of generative AI by students, though its use is restricted for much assessed work and governed by course-level guidance.
At the University of Edinburgh, presenting AI outputs as your own original work, submitting AI-generated text without acknowledgment, and using AI agents within university learning platforms constitute academic misconduct.
At the University of Edinburgh, presenting AI outputs as your own original work, machine-translating assessed work to English, submitting AI content without acknowledgment, and using AI agents within university learning platforms constitute academic misconduct.
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GenAI permissions at Edinburgh are set at assessment and course level; restrictions should be stated in the assessment task and students must consult their Course Organiser when unclear.
GenAI permissions at Edinburgh are set at assessment and course level; restrictions should be stated in the assessment task and students must consult their Course Organiser when unclear.
Students must acknowledge any use of GenAI before submitting assessed work.
Students must acknowledge permitted use of generative AI before submitting assessed work, providing a brief statement at the end of the submission in accordance with course instructions.
Staff and researchers must not input identifiable patient/clinical data or any identifiable research participant data into any AI platform, including the University's institutional ELM platform.
University staff are strictly prohibited from uploading personal data or confidential university information to external AI tools, and must assume third-party providers share inputs externally.
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ELM (Edinburgh access to Language Models) is the University of Edinburgh's AI innovation platform and a central gateway providing safer access to generative AI through large language models.
ELM (Edinburgh access to Language Models) is the University of Edinburgh's AI innovation platform and a central gateway providing safer access to generative AI through large language models.
The University of Edinburgh says users can access the Copilot chat service within Edge by signing in with University credentials, where a green shield indicates additional protections.
The University of Edinburgh provides access to the Copilot chat service within Edge by signing in with University credentials, while full Microsoft 365 Copilot Office suite integration licenses are not currently provided.
The University of Edinburgh encourages students to use ELM over external AI platforms because it provides privacy protections and institutional access.
The University of Edinburgh encourages students to use ELM over external commercial AI platforms because its guidance states that data is not retained by third-party services to train models or for other purposes. March 2026 student guidance describes ELM as free to staff and students; another published entitlement page states discretionary School approval. Whether that approval condition still applies universally is not established by these sources.
The full Microsoft 365 Copilot suite is not provided under the University's current institutional license agreement, and ISG currently has no plans to make the full Copilot for MS365 license available, though free Copilot chat within Edge is supported.
The University of Edinburgh does not ban the use of generative AI in postgraduate research, though its use is restricted for work assessed by the University and students must discuss AI use with supervisors.
The University of Edinburgh does not ban generative AI in postgraduate research, but its use is restricted for assessed work; researchers should consult supervisors and programme-level guidelines, should include a brief acknowledgment in the Declaration of Own Work if using AI for assessed research, and must adhere to publisher and funder rules.
Postgraduate research students who choose to use generative AI for aspects of assessed research (such as doctoral theses, MScR dissertations, or annual review submissions) should include a brief acknowledgment in the Declaration of Own Work at the start of the thesis or submission.
At the University of Edinburgh, staff presenting AI-generated content as their own original work, uploading personal data or confidential information to external AI tools, and relying on AI detection tools are listed as unacceptable uses.
At the University of Edinburgh, staff must be transparent about generative AI assistance, never claim AI output as their own original work, and always verify accuracy and appropriateness.
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The University of Edinburgh prohibits students from using AI agents or AI browsers to complete work inside virtual learning environments.
The University of Edinburgh prohibits students from using AI agents or AI browsers to complete work inside virtual learning environments.
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Presenting AI-generated content as one's own work is regarded as academic misconduct at Edinburgh; all assessed work must be the student's own original work.
Presenting AI-generated content as one's own work is regarded as academic misconduct at Edinburgh; all assessed work must be the student's own original work.
Late appeals will only be considered in extraordinary circumstances explaining and evidencing why the deadline could not be met; appeals submitted over one year after the ratified or publication date of the original decision will not be considered under any circumstances.
An appeal cannot be lodged until the Board of Examiners or decision-maker publishes its final decision in EUCLID Student View (as results on LEARN may not yet be ratified or moderated); appeals against academic decisions must be submitted promptly within 10 working days of the result being issued for undergraduate non-final years, and within 30 working days of the result being issued for undergraduate final year and all postgraduate taught and research students.
Appeals against decisions of Student Discipline Officers or the Student Discipline Committee, and appeals against decisions of Fitness to Practise Panels, must be submitted within 10 working days of the receipt of the decision.
Suspected academic misconduct at Edinburgh is investigated by School and College Academic Misconduct Officers (SAMOs / CAMOs), while formal grade penalties are determined by Boards of Examiners; allegations relating to research undertaken by students are investigated using the Academic Misconduct Investigation Procedure rather than staff research misconduct procedures.
Presenting generative AI outputs as your own original work in assessed work constitutes academic misconduct at the University of Edinburgh.
Using an AI translator to convert assessed work to English before submission is treated as false authorship and constitutes academic misconduct because English is the language of teaching and assessment.
Submitting an assessment which includes elements of AI-generated text without acknowledgment constitutes academic misconduct.
Submitting an assessment which includes AI-generated images, audio or video without acknowledgment constitutes academic misconduct.
Submitting an assessment which includes AI-generated mathematical formulae, reasoning, or computer code without acknowledgment constitutes academic misconduct.
Citing and referencing AI-found sources in assessed work without reading and verifying them constitutes academic misconduct.
The University of Edinburgh advises staff not to rely on AI detection tools to confirm authorship, as they misclassify human and AI content.
The University of Edinburgh advises staff not to rely on AI detection tools to confirm authorship, as they misclassify human and AI content and there is no reliable automated provenance method.
For systematic or large-scale non-research adoption of AI or introduction of AI into existing platforms, staff must follow the approval process via the ISG Ethics Board, frame decisions using AI Impact Assessment guidance, and complete required impact assessments, including DPIA (Data Protection Impact Assessment) and EQIA (Equality Impact Assessment) where appropriate / as required (while research AI uses follow College Research Ethics Boards).
The University of Edinburgh says students must not use third-party AI-based translation apps in class.
The University of Edinburgh says students must not use third-party AI-based translation apps in class because they retain and distribute classroom recordings in violation of the Accessible and Inclusive Learning Policy.
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Edinburgh's Registry guidance says students will not be penalised for using GenAI provided they stay within the stated acceptable uses and adhere to assessment-specific restrictions.
Edinburgh's Registry guidance says students will not be penalised for using GenAI provided they stay within the stated acceptable uses and adhere to assessment-specific restrictions.
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The University of Edinburgh states that ELM chat histories are private to the individual user and are not accessible to lecturers for checking student work.
The University of Edinburgh states that ELM chat histories are private to the individual user and are not accessible to lecturers for checking student work.
The University of Edinburgh says using an AI agent within Learn or any university learning or assessment platform requiring login is not permitted.
The University of Edinburgh prohibits using AI agents or sharing login credentials within Learn or any University platform requiring login, treating it as a breach of Computing Acceptable Use Policy.
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ELM (Edinburgh access to Language Models) is listed for The University of Edinburgh in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.
ELM (Edinburgh access to Language Models) is listed for The University of Edinburgh in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.
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Llama in ELM is listed for The University of Edinburgh in an official university AI tools source. Derived availability: allowed. Derived endorsement type: self hosted system.
Llama in ELM is listed for The University of Edinburgh in an official university AI tools source. Derived availability: allowed. Derived endorsement type: self hosted system.
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The University of Edinburgh's central AI guidance page presents ELM as the University's central gateway to safer access to generative AI for staff and students.
The University of Edinburgh's central AI guidance page presents ELM as the University's central gateway to safer access to generative AI for staff and students.
Bewaarde historische tekst betekent niet dat de universiteit een regel heeft ingetrokken.
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Historisch bewijs of classificatie is onvolledig; bekijk de geschiedenis.
