public-release-20260715-005
Dibandingkan dengan public-release-20260714-002.
Imperial College London public-release-20260715-005 perbezaan
Membandingkan public-release-20260714-002 dengan public-release-20260715-005.
Log perubahan
Release-to-release tracker diff history with separate policy-text, newly-extracted claim, evidence, and source snapshot categories.
Kesegaran rekod awam semasa dan keadaan semakan.
Imperial College London currently has 14 source-backed claim records and 15 official source attributions. Latest tracked changed date: 18 Jul 2026. Latest tracker diff: 0 comparable policy-text changes, 4 newly extracted claims, 1 source snapshot changes.
Halaman ini menggabungkan semua perbezaan pelepasan awam untuk Imperial College London. Snapshot pelepasan individu kekal boleh diakses dari URL khusus pelepasan mereka.
This tracker is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.
Tuntutan diekstrak baharu adalah penambahan penjejak dan tidak semestinya diterbitkan baru-baru ini oleh universiti. Perubahan snapshot sumber menunjukkan perubahan hesh untuk URL sumber yang sama dan bukan merupakan perubahan dasar secara langsung.
Klasifikasi semantik untuk perbezaan keluaran ini.
Perbezaan penjejak bersatu dijana daripada semua snapshot pelepasan awam untuk universiti ini.
Membandingkan public-release-20260714-002 dengan public-release-20260715-005.
1 perbezaan pelepasan awam
Dibandingkan dengan public-release-20260714-002.
Membandingkan public-release-20260714-002 dengan public-release-20260715-005.
14 rekod Tuntut
dAIsy is listed for Imperial College London in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.
DeepSeek in dAIsy is listed for Imperial College London in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.
Claude in dAIsy is listed for Imperial College London in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.
GPT in dAIsy is listed for Imperial College London in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
15 source attributions
official_policy_page Tracker checked at 6 Mei 2026, 1:00 PG
official_guidance Tracker checked at 6 Mei 2026, 1:00 PG
other Tracker checked at 6 Mei 2026, 1:00 PG
other Tracker checked at 6 Mei 2026, 1:00 PG
official_guidance Tracker checked at 6 Mei 2026, 1:00 PG
official_guidance Tracker checked at 15 Jul 2026, 5:36 PTG
official_guidance Tracker checked at 6 Mei 2026, 1:00 PG
official_guidance Tracker checked at 6 Mei 2026, 1:00 PG
official_guidance Tracker checked at 6 Mei 2026, 1:00 PG
official_guidance Tracker checked at 6 Mei 2026, 1:00 PG
official_policy_page Tracker checked at 6 Mei 2026, 1:00 PG
official_guidance Tracker checked at 6 Mei 2026, 1:00 PG
other Tracker checked at 6 Mei 2026, 1:00 PG
official_policy_page Tracker checked at 6 Mei 2026, 1:00 PG
official_guidance Tracker checked at 6 Mei 2026, 1:00 PG