Policy presence
Imperial College London has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
London, United Kingdom
Imperial College London
Record status
Review: Agent reviewed
Policy profile
Review: Machine candidate
AI disclosure
Imperial College London has 3 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
Imperial College London has 5 source-backed public claims for coursework; deterministic analysis status: allowed.
Exams
Imperial College London has 5 source-backed public claims for exams; deterministic analysis status: conditionally_allowed.
Privacy and data entry
Imperial College London has 5 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Imperial College London has 2 source-backed public claims for academic integrity; deterministic analysis status: conditionally_allowed.
Approved tools
Imperial College London has 5 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
Imperial College London has 5 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Imperial College London has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Imperial College London has 3 source-backed public claims for research guidance; deterministic analysis status: restricted.
Security and procurement
Imperial College London has 2 source-backed public claims for security and procurement; deterministic analysis status: restricted.
AI tools
Claude in dAIsy
Imperial College London
- Tool
- Claude in dAIsy
- About
- Claude model access through Imperial dAIsy.
- Access
- Use the Imperial dAIsy interface as staff or student.
- Cost
- Not specified; proof-of-concept phase.
- Availability
- Allowed
- Review
- Agent reviewed
- Sources
dAIsy
Imperial College London
- Tool
- dAIsy
- About
- Imperial's secure multi-model GenAI platform.
- Access
- Use the Imperial dAIsy interface as staff or student.
- Cost
- Not specified; proof-of-concept phase.
- Availability
- Allowed
- Review
- Agent reviewed
- Sources
DeepSeek in dAIsy
Imperial College London
- Tool
- DeepSeek in dAIsy
- About
- DeepSeek model access through Imperial dAIsy.
- Access
- Use the Imperial dAIsy interface as staff or student.
- Cost
- Not specified; proof-of-concept phase.
- Availability
- Allowed
- Review
- Agent reviewed
- Sources
GPT in dAIsy
Imperial College London
- Tool
- GPT in dAIsy
- About
- GPT model access through Imperial dAIsy.
- Access
- Use the Imperial dAIsy interface as staff or student.
- Cost
- Not specified; proof-of-concept phase.
- Availability
- Allowed
- Review
- Agent reviewed
- Sources
Evidence-backed claims
14 reviewed evidence-backed public claim
Ai Tool Treatment
GPT in dAIsy is listed for Imperial College London in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.
Review: Agent reviewed
Normalized value: {"tool":"chatgpt","rawToolName":"GPT in dAIsy","description":"GPT model access through Imperial dAIsy.","howToObtain":"Use the Imperial dAIsy interface as staff or student.","costToUser":"Not specified; proof-of-concept phase.","availability":"allowed","endorsementType":"officially_endorsed"}
原始证据
Evidence 1Imperial's official dAIsy page says staff and students can access multiple models through one interface and expressly names GPT among them.
本地化显示 only
Imperial's official dAIsy page says staff and students can access multiple models through one interface and expressly names GPT among them.
Ai Tool Treatment
Claude in dAIsy is listed for Imperial College London in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.
Review: Agent reviewed
Normalized value: {"tool":"claude","rawToolName":"Claude in dAIsy","description":"Claude model access through Imperial dAIsy.","howToObtain":"Use the Imperial dAIsy interface as staff or student.","costToUser":"Not specified; proof-of-concept phase.","availability":"allowed","endorsementType":"officially_endorsed"}
原始证据
Evidence 1Imperial's official dAIsy page says staff and students can access multiple models through one interface and expressly names Claude among them.
本地化显示 only
Imperial's official dAIsy page says staff and students can access multiple models through one interface and expressly names Claude among them.
Ai Tool Treatment
DeepSeek in dAIsy is listed for Imperial College London in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.
Review: Agent reviewed
Normalized value: {"tool":"deepseek","rawToolName":"DeepSeek in dAIsy","description":"DeepSeek model access through Imperial dAIsy.","howToObtain":"Use the Imperial dAIsy interface as staff or student.","costToUser":"Not specified; proof-of-concept phase.","availability":"allowed","endorsementType":"officially_endorsed"}
原始证据
Evidence 1Imperial's official dAIsy page says staff and students can access multiple models through one interface and expressly names DeepSeek among them.
本地化显示 only
Imperial's official dAIsy page says staff and students can access multiple models through one interface and expressly names DeepSeek among them.
Ai Tool Treatment
dAIsy is listed for Imperial College London in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.
Review: Agent reviewed
Normalized value: {"tool":"institutional_ai_service","rawToolName":"dAIsy","description":"Imperial's secure multi-model GenAI platform.","howToObtain":"Use the Imperial dAIsy interface as staff or student.","costToUser":"Not specified; proof-of-concept phase.","availability":"allowed","endorsementType":"officially_endorsed"}
原始证据
Evidence 1Imperial's official dAIsy page describes it as Imperial College London's secure AI platform, designed to give staff and students safe access to multiple generative AI models through one interface.
本地化显示 only
Imperial's official dAIsy page describes it as Imperial College London's secure AI platform, designed to give staff and students safe access to multiple generative AI models through one interface.
Academic Integrity
Unless explicitly authorised, using generative AI to create assessed work may be treated as an academic offence such as contract cheating under Imperial's Plagiarism, Academic Integrity & Exam Offences regulations. Improper use of AI can be investigated under the University's Academic Misconduct procedures.
Review: Agent reviewed
原始证据
Evidence 1Unless 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. Familiarise yourself with Imperial's Academic Misconduct Policy for rules on appropriate AI usage.
Teaching
Individual departments at Imperial may allow or prohibit the use of generative AI for specific assessments. Local (team/department/faculty) instructions take precedence over university-wide guidance. Students should check their department's current policy on using and disclosing generative AI in academic work and follow their module leader's instructions.
Review: Agent reviewed
原始证据
Evidence 1Individual 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.
Privacy
Imperial's dAIsy AI platform uses University SSO authentication with auditing. Prompts and metadata are logged for operational monitoring, and AI model providers are configured not to train on user data. Users' prompts and responses are not used to train external AI models. dAIsy is approved for use with unrestricted data within Imperial's secure infrastructure.
Review: Agent reviewed
原始证据
Evidence 1dAIsy uses University SSO and auditing. Logs (prompts/metadata) are retained for operational monitoring. Model providers are configured to not train on your data.
Academic Integrity
Breaches of Imperial's dAIsy Use Policy may lead to action under Academic Misconduct procedures for students and HR/disciplinary processes for staff, as well as under Information Security and Data Protection policies. Sanctions may include removal of access, grade penalties, or formal disciplinary measures.
Review: Agent reviewed
原始证据
Evidence 1Breaches 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.
Teaching
Students should include a statement acknowledging their use of generative AI tools for all assessed work, specifying the tool name and version, publisher, URL, a brief description of how it was used, and confirmation that the work is their own. Further requirements such as prompts used, date of output, the output obtained, and how it was modified may also be required by individual departments.
Review: Agent reviewed
原始证据
Evidence 1You 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. This statement should be written in complete sentences and include the following information: Name and version of the generative AI tool e.g. Copilot, ChatGPT-5; Publisher (name of company that provides the AI system) e.g. Microsoft, OpenAI; URL of the AI tool; Brief description (single sentence) of the way in which the tool was used; Confirmation that the work is your own.
Research
Research at Imperial 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. Researchers must verify whether their use of AI in research requires special approval, particularly when uploading private or confidential research data.
Review: Agent reviewed
原始证据
Evidence 1Research 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.
Other
All Imperial staff and students have access to Microsoft Copilot with Commercial Data Protection when signed in using their Imperial credentials. Microsoft Copilot has no access to organizational data in the Microsoft 365 Graph. Chat results are not saved or made available to Microsoft, and data does not pass outside the organisation.
Review: Agent reviewed
原始证据
Evidence 1All Imperial staff and students have access to Microsoft Copilot. You should ensure you sign in to use Copilot so that you are using the secure version of Microsoft Copilot with Commercial Data Protection. MS Copilot has no access to organizational data in the Microsoft 365 Graph. 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.
Other
Users of Imperial's dAIsy AI platform must always apply critical judgment to AI outputs. Generative AI can produce inaccurate or biased outputs ('hallucinate'), omit context, or reflect training-data biases. Users remain accountable for the accuracy, legality, and appropriateness of any content they submit or share through the platform.
Review: Agent reviewed
原始证据
Evidence 1Always 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.
Other
Users of Imperial's dAIsy platform must not upload third-party content they are not permitted to share. Reuse of AI outputs must comply with licensing and academic citation norms. When communicating externally, dAIsy outputs must not be presented as Imperial's position without approval.
Review: Agent reviewed
原始证据
Evidence 1Do 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. When communicating externally, do not present dAIsy outputs as Imperial's position without approval.
Teaching
Imperial College London has established five Generative AI Principles (aligned with Imperial Values: Respect, Collaboration, Excellence, Integrity, Innovation) to provide a foundational framework for approaches to using generative AI in teaching, learning and assessment university-wide. The principles cover promoting critical use of AI, adopting a consistent ethical approach, and building a proactive research community around AI in education.
Review: Agent reviewed
原始证据
Evidence 1These 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. The principles are underpinned by Imperial's core Values. ... Promoting the critical use of generative AI in teaching, learning and assessment. Adopting a consistent ethical approach to the use of generative AI. Building a proactive research community around the use of generative AI.
Candidate claims
0 machine or needs-review claim
Official sources
15 source attribution
Academic Misconduct Policy and Procedure v1.3
imperial.ac.uk
CfAE guidance on GenAI
imperial.ac.uk
dAIsy - gen AI platform
imperial.ac.uk
dAIsy Use Guidance and Process Flows
imperial.ac.uk
dAIsy Use Policy
imperial.ac.uk
dAIsy- gen AI platform | Administration and support services | Imperial College London
imperial.ac.uk
DPA Code of Practice 08 - Use of Artificial Intelligence (AI)
imperial.ac.uk
Generative AI & Education Guidance Hub
imperial.ac.uk
Generative AI and Study Guidance Hub
imperial.ac.uk
Generative AI guidance
imperial.ac.uk
Generative AI Principles
imperial.ac.uk
ICT Code of Practice 06 - Conditions of Use of IT Resources
imperial.ac.uk
Microsoft Copilot
imperial.ac.uk
Plagiarism, Academic Integrity & Exam Offences
imperial.ac.uk
Use of generative AI for teaching, learning and assessment
imperial.ac.uk