Imperial College London

Unless explicitly authorised, using AI to create assessed work may be treated as an offence such as contract cheating under Imperial’s Plagiarism, Academic Integrity & Exam Offences regulations.

証拠の所在の検索: Appropriate academic use; captured normalized text line 00285

Breaches may lead to action under Academic Misconduct (students) and HR/disciplinary processes (staff), as well as Information Security and Data Protection policies. Sanctions may include removal of access, grade penalties, or formal disciplinary measures.

証拠の所在の検索: Compliance and sanctions; captured normalized text line 00629 (Section 14)

We would like to reassure students that Imperial does not use Turnitin's AI writing detection tool as part of its assessment processes. Decisions relating to academic integrity are made by staff using academic judgement and evidence, and following our institution policies.

証拠の所在の検索: Turnitin EULA changes; captured normalized text line 00147

To make an appeal you must submit the appeal form below to student.appeals@imperial.ac.uk within the deadline you have been given and including all documentation regarding the allegation and decision. You should also include any additional documentation that is relevant to the details of your appeal statement.

証拠の所在の検索: Academic misconduct procedures and appeals; captured normalized text line 00227

If the student wishes to appeal against the decision of the Academic Misconduct Panel, they must submit the appeal form (Appendix III) to student.appeals@imperial.ac.uk within ten College working days of receiving the decision of the Academic Misconduct Panel.

証拠の所在の検索: Academic Misconduct Policy and Procedure v1.3; PDF actual page 9, Sections 48 & 51

Potential academic misconduct in postgraduate research programmes will be dealt with under ordinance D17, The Investigation of Allegations of Research Misconduct.

証拠の所在の検索: Academic Misconduct Policy and Procedure v1.3; PDF actual page 2, Section 13

i) Assessment-related use- Individual departments may allow or prohibit GenAI for specific assessments; local (team/department/faculty) instructions take precedence. Always check the brief and acknowledge permitted AI use as directed.

証拠の所在の検索: Responsible uses; captured normalized text line 00602 (Section 5(i))

It complements, and does not replace, existing Imperial policies on academic integrity, assessment, research ethics, information security, GenAI, and data protection. Where there is any conflict, University policy prevails.

証拠の所在の検索: dAIsy Use Policy Section 1; captured normalized text line 00582

A statement of acknowledgment shows the reader which AI tool you used and for what specific purpose. You should include a statement to acknowledge your use of generative AI tools for all assessed work, in accordance with guidelines from your department or course team.

証拠の所在の検索: Acknowledging and referencing use; captured normalized text line 00289

Expectations regarding the disclosure or acknowledgement of GenAI use vary across disciplines, assessments, publishers, funders, and professional contexts. Students and staff should therefore familiarise themselves with any applicable requirements and ensure that their use of GenAI is appropriately documented where required.

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ii) Academic integrity and referencing - Where GenAI use is permitted for assessed work, acknowledge it (e.g., tool, version, prompt approach). Improper use can be investigated under University Academic Misconduct procedures [PDF].

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When communicating externally, do not present dAIsy outputs as Imperial’s position without approval. For assessed work where AI use is permitted, be transparent about how you used AI.

証拠の所在の検索: Communications and transparency; captured normalized text line 00627 (Section 13)

These principles are intended to provide a starting point for approaches to using generative AI in teaching, learning and assessment at Imperial. Imperial supports the use of the principles to frame and underpin activities university-wide as we as a community explore the use of generative AI, progress and develop policy, and establish guidelines.

証拠の所在の検索: Generative AI Principles introduction; captured normalized text line 00731

Respect - We value each other’s perspectives and encourage an environment where everyone can grow, pursue opportunities, and express their individuality, ensuring generative AI is used to empower, rather than diminish, individual experience, perspective and contributions.

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Collaboration - We work together to cultivate inclusive, impactful and community-driven generative AI applications and solutions.

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Excellence - We employ generative AI carefully to enhance our impact, making a positive difference and taking personal responsibility for its effective use, maintaining the highest level of quality in our work.

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Integrity - We act in a principled way with generative AI and inspire trust in our actions by using it responsibly, ethically, and transparently, while addressing challenges with honesty and openness.

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Innovation - We approach the opportunities that generative AI brings with an open mind, exploring new ideas and continuously adapting to its rapidly evolving potential, within a culture of innovation, as outlined in Imperial’s Science for Humanity Strategy .

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Promoting the critical use of generative AI in teaching, learning and assessment

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Adopting a consistent ethical approach to the use of generative AI

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Building a proactive research community around the use of generative AI

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Staff and students can use dAIsy as you would use other Imperial approved applications and services regarding the use of data. For example, you can input data into dAIsy as you would when using applications in your Imperial Microsoft 365 account. Review our university policies and guidance for further information on the acceptable use of data and the Code of Practice 6 - Conditions of Use of IT Resources .

証拠の所在の検索: Responsible uses; captured normalized text line 00601 (Section 5)

dAIsy uses University SSO and auditing. Logs (prompts/metadata) are retained for operational monitoring. Model providers are configured to not train on your data.

証拠の所在の検索: Data handling, security and privacy; captured normalized text line 00606 (Section 6)

Staff and students can use dAIsy as you would use other Imperial approved applications and services regarding the use of data. For example, you can input data into dAIsy as you would when using applications in your Imperial Microsoft 365 account. dAIsy is approved for the use of unrestricted data . For more information please visit the Generative AI & Education Guidance Hub .

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No. Your prompts and responses are not used to train any external AI models.

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You should ensure you sign in to use Copilot so that you are using the secure version of Microsoft Copilot with Commercial Data Protection.

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MS Copilot has no access to organizational data in the Microsoft 365 Graph.

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Your data is protected and the chat results are NOT saved or made available for Microsoft, so the data does not pass outside of the organisation.

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Microsoft Copilot Chat prompts and responses are processed within the Microsoft 365 service boundary, which offers enterprise data protection . This means that security, privacy, and compliance controls and commitments available for Microsoft Copilot also extend to Copilot Chat. Prompts and responses aren't used to train the underlying foundation models.

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Logging : Before sending the response back to the user, both the prompt and response are logged and stored in Exchange for auditing/eDiscovery (Microsoft 365 tenant).

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To help improve the quality of responses, Copilot Chat can use web search queries sent to the Bing search service to ground responses in the latest information from the web.

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The Bing search service operates separately from Microsoft 365 and has different data-handling practices from those used for prompts and responses. These data-handling practices are covered by the Microsoft Services Agreement between each user and Microsoft, together with the Microsoft Privacy Statement . This means that Microsoft acts as an independent data controller responsible for complying with all applicable laws and controller obligations. This approach is consistent with other optional connected experiences that rely on Bing .

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Following significant feedback from the UK higher education sector regarding data privacy and institutional contracts, Turnitin has deferred the changes until at least the next academic year (2027-28). As a result, there are no changes to how Turnitin is used at Imperial during the current academic year (2026-27) but will we use this year to continue to engage with Turnitin regarding any changes they are planning to understand the implications for our community.

証拠の所在の検索: Turnitin EULA changes; captured normalized text line 00146

We are aware that some students have raised concerns about changes that were announced by Turnitin to their End User Licence Agreement (EULA) in July 2026. Their proposed update introduced new terms regarding the processing of student submissions using AI tools.

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iii) Research use - Research that involves people, personal data, or sensitive topics may require ethics approval, a Data Protection Impact Assessment (DPIA) , and data-governance controls before using any AI tool.

証拠の所在の検索: Responsible uses; captured normalized text line 00604 (Section 5(iii))

dAIsy is Imperial's AI platform, designed to give you safe, easy access to multiple generative AI models (such as GPT, Claude, Deepseek, and others) through a single interface.

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dAIsy gives you access to a curated selection of leading AI models through a single, secure Imperial interface.

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dAIsy is Imperial's AI platform, designed to give you safe, easy access to multiple generative AI models (such as GPT, Claude, Deepseek, and others) through a single interface.

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dAIsy is Imperial's AI platform, designed to give you safe, easy access to multiple generative AI models (such as GPT, Claude, Deepseek, and others) through a single interface.

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dAIsy is Imperial's AI platform, designed to give you safe, easy access to multiple generative AI models (such as GPT, Claude, Deepseek, and others) through a single interface.

証拠の所在の検索: dAIsy platform introduction; captured normalized text line 00582

Basic User Access - Exists by default for everyone with access to dAIsy. This access level allows for the creation of 'Personal agents'.

証拠の所在の検索: Roles and access; captured normalized text line 00590 (Section 3)

Developer User Access – Developer access allows users access to special use case agents for a specific audience.( Specialised Agents are developed either by ICT or by a user who has been granted Developer Access). ICT will review and approve requests for developer access. If you require developer access, please complete the AI User Cases form .

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API access to Large Language Models (LLMs) is not currently available through dAIsy.

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Developer access can be requested by completing the request form and is subject to approval. This access is currently available to Imperial staff only.

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Always apply critical judgement. GenAI can ‘hallucinate’, omit context, or reflect training-data biases. Users remain accountable for the accuracy, legality, and appropriateness of any content they submit or share.

証拠の所在の検索: Quality, bias and human oversight; captured normalized text line 00617 (Section 9)

Do not upload third-party content you are not permitted to share. Ensure that any reuse of AI outputs complies with licensing and academic citation norms.

証拠の所在の検索: Copyright and IP; captured normalized text line 00625 (Section 12)

When communicating externally, do not present dAIsy outputs as Imperial’s position without approval. For assessed work where AI use is permitted, be transparent about how you used AI.

証拠の所在の検索: Communications and transparency; captured normalized text line 00627 (Section 13)