Zürich, Switzerland Last checked Oct 12, 2026

ETH Zurich (Swiss Federal Institute of Technology Zurich)

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Can I use AI for my coursework?Subject to the applicable conditions Do I need to disclose AI use?Disclosure requirements and exceptions Can I upload sensitive data?Scope-specific restrictions Which tools can I access?Subject to the applicable conditions

Use in ChatGPT ↗Before you submitAdvice and precautions Record updates ↓

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Coursework

Subject to the applicable conditions

ETH Zurich advocates a proactive and responsible approach to generative AI in coursework. Students remain fully responsible for the content of any work they submit. Generative AI may serve a supplementary role (such as brainstorming, structuring, or coding assistance), but must never replace personal effort. Lecturers hold authority to determine whether and how generative AI may be used in their courses.

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Exams

Scope-specific restrictions

Performance assessments must be conducted independently and personally by the student. The use of unauthorized aids, including generative AI tools not permitted by the examiner, constitutes academic misconduct subject to disciplinary action under the ETH Zurich Ordinance on Disciplinary Measures.

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Disclosure

Disclosure requirements and exceptions

ETH Zurich's declaration of originality provides two options: confirming that no generative AI was used, or confirming that authorised generative AI was used and its disclosure agreed with the supervisor. Bachelor's and Master's theses require a signed declaration of originality, while requirements for other written assessments depend on the applicable academic instructions. Doctoral candidates declare independent authorship through the doctoral examination registration process. The permitted use, disclosure format and any exceptions must follow the relevant supervisor and unit requirements. ETH Zurich's teaching guidelines instruct students to be transparent about their use of generative AI and to identify which tools contributed to which parts of their work, in accordance with applicable lecturer instructions and citation conventions. For scientific writing and theses, students should agree in advance with their supervisors on authorised AI use and disclosure requirements. ETH Library guidance recognises an exception where a supervisor has expressly agreed that particular AI use need not be separately declared. In the absence of such an agreement, undeclared use may constitute a breach of academic integrity.

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Privacy & sensitive data

Scope-specific restrictions

Uploading strictly confidential information to external cloud AI services is prohibited. Confidential information may only be processed in specifically evaluated configurations (such as M365 Copilot Work mode without web search). M365 Copilot Chat is approved for internal data. Google AI tools have not yet been assessed by the CISO (assessment OPEN) and are not released for ETH confidential, strictly confidential, or protected personal data. Copyright and privacy must be respected at all times.

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Institutional tools

Subject to the applicable conditions

ETH Zurich recommends Microsoft Copilot, Google Gemini, and Google NotebookLM for teaching purposes. Base chat versions are included in institutional Microsoft 365 and Google Workspace subscriptions free of charge for students and employees, offering enterprise data protection where user data is not used for model training. Google tools have not yet completed CISO assessment (OPEN), so product availability does not constitute data classification approval. Tool availability does not equal assessment permission; instructors decide assessment permissions.

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Research & publication

Subject to the applicable conditions

Researchers and students are fully responsible for the integrity of their scientific work and must verify AI-generated output, references, and facts. Generative AI tools cannot be listed as authors or cited as authoritative sources. Theses require signed originality declarations; doctoral candidates declare independent authorship upon registration for the doctoral examination. Researchers must comply with applicable funder (e.g. SNSF) and publisher guidelines.

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More reviewed record topics

Academic integrity

Scope-specific restrictions

ETH Library provides Turnitin Originality to eligible professors and lecturers for text-similarity checking, subject to data classification and responsible selective-use guidance. Only public or internal documents may be uploaded. Similarity screening is distinct from AI-authorship detection; ETH Zurich warns that technical detection of AI-generated output is unreliable and should not be treated as conclusive evidence. Violations of GenAI guidelines such as use of unauthorised aids or non-disclosure of their use are subject to disciplinary action under existing performance assessment rules and the declaration of originality.

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Teaching guidance

Guidance, with task-specific requirements

Lecturers are encouraged to adapt teaching and assessment strategies to GenAI, discuss acceptable use with students, clearly communicate course permissions, and act as role models by making GenAI use visible in teaching materials and assessment workflows, ensuring compliance with data protection regulations.

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Security and procurement

Scope-specific restrictions

ID CCR Cloud Service Center manages institutional cloud AI tools. Tools lacking cloud assessments (including third-party tools such as commercial ChatGPT, Claude, DeepSeek, Perplexity, Grok) are used on the user's own responsibility and must never process confidential, strictly confidential, or protected personal data. Institutional add-on software (such as Google AI Pro or M365 Copilot) requires employee license acquisition via the IT-Shop; specific fee and funding arrangements depend on applicable organizational procedures.

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Do

Don’t

Do not let AI replace your own assessment work.
Requirement in this scope
Do not let AI replace your own assessment work.
Scope
Read each cited rule for its course, academic unit, activity and exceptions. Site advice does not create a university obligation.
Students are responsible for the content of work they submit. Performance assessments must be conducted independently and personally; GenAI may serve a supplementary role but not replace student efforts.
Original evidence and scope
Students are responsible for the content of work they submit. Performance assessments must be conducted independently and personally; GenAI may serve a supplementary role but not replace student efforts.
cc-eth-zurich-b2226b51825107d5
Responsibility : You are responsible for the content of work you submit. Discuss with your lecturer whether and how you may use GenAI and how exactly you should declare it. Be aware to thoroughly check AI generated contributions for correctness and plagiarism . Performance assessments must be conducted independently and personally. GenAI may serve a supplementary role, helping you but not replacing your efforts.
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Official university source ↗
Responsibility: You are responsible for the content of work you submit. Discuss with your lecturer whether and how you may use GenAI and how exactly you should declare it. Thoroughly check AI generated contributions for plagiarism and correctness. Performance assessments must be conducted independently and personally. GenAI may serve a supplementary role, helping you but not replacing your efforts.
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Official university source ↗
Do not put strictly confidential information in external cloud AI.
Requirement in this scope
Do not put strictly confidential information in external cloud AI.
Scope
Read each cited rule for its course, academic unit, activity and exceptions. Site advice does not create a university obligation.
ETH Zurich prohibits the processing of strictly confidential information in external cloud AI services. Confidential information may be processed only in services and configurations explicitly approved for that classification. ETH IT guidance distinguishes Microsoft 365 Copilot Work mode without web search, which is approved for confidential data, from Copilot Chat and web mode, which are approved for internal data. Unassessed AI services must not be used for confidential ETH data or protected personal data.
Original evidence and scope
ETH Zurich prohibits the processing of strictly confidential information in external cloud AI services. Confidential information may be processed only in services and configurations explicitly approved for that classification. ETH IT guidance distinguishes Microsoft 365 Copilot Work mode without web search, which is approved for confidential data, from Copilot Chat and web mode, which are approved for internal data. Unassessed AI services must not be used for confidential ETH data or protected personal data.
clm-eth-zurich-ai-data-classification-2026
Uploading strictly confidential data to external cloud services, including AI tools, is prohibited. The work mode of M365 Copilot without the web search option is approved for use with confidential data . The web search option is disabled in the work mode by default. M365 Copilot Chat and the web mode of M365 Copilot is approved for internal data . AI tools lacking a cloud assessment have not been released for use with ETH data. Processing confidential, strictly confidential, or protected personal data is not permitted.
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Information is classified as “ strictly confidential ” if unauthorised access could damage the interests of ETH Zurich. It must not be stored on external cloud services and may only be shared with a specifically authorised group under strict security precautions. Information is classified as “ confidential ” if unauthorised access could significantly damage the interests of ETH Zurich. It must be limited to specific authorised individuals and securely stored.
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Information is classified as “ internal ” if unauthorised access could damage the interests of ETH Zurich. Such information is therefore generally intended solely for members of ETH Zurich. Unless explicitly stated otherwise, all data and information at ETH is considered “internal”.
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Do not treat similarity screening as reliable AI-authorship proof.
Site advice
Do not treat similarity screening as reliable AI-authorship proof.
Scope
Read each cited rule for its course, academic unit, activity and exceptions. Site advice does not create a university obligation.
ETH Library provides Turnitin Originality to eligible professors and lecturers for text-similarity checking, subject to data classification and responsible selective-use guidance. Only public or internal documents may be uploaded. Similarity screening is distinct from AI-authorship detection; ETH Zurich warns that technical detection of AI-generated output is unreliable and should not be treated as conclusive evidence.
Original evidence and scope
ETH Library provides Turnitin Originality to eligible professors and lecturers for text-similarity checking, subject to data classification and responsible selective-use guidance. Only public or internal documents may be uploaded. Similarity screening is distinct from AI-authorship detection; ETH Zurich warns that technical detection of AI-generated output is unreliable and should not be treated as conclusive evidence.
clm-eth-zurich-turnitin-similarity-and-ai-detection
Please note that access to the plagiarism detection software is exclusively intended for professors and lecturers of ETH Zurich. Students and employees without the lecturer role cannot use Turnitin Originality.
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Note the confidentiality level: Only documents classified as "public" or "internal" may be uploaded to Turnitin Originality for similarity checking.
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Selective use only in cases of suspicion prevents a culture of mistrust.
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False positives: Turnitin Originality may flag sections of texts as plagiarised even if they have been cited correctly. Always check highlighted sections carefully to determine if they have really been plagiarised or if the software has merely produced a false positive.
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AI use questioned?Investigation, possible outcomes and appeal

AI tools & access

Microsoft 365 Copilot Chat (Enterprise Data Protection)Institutional access / licenceConditions apply
Sign in with ETH account (username@ethz.ch) via M365 subscription
Microsoft 365 Copilot Chat (Enterprise Data Protection) · Access conditions
All ETH members (students and employees). Data: Approved for INTERNAL data (prohibited for confidential and strictly confidential data) Assessment: Recommended for teaching purposes on IT page; coursework and assessment use subject to lecturer authorization
Sign in with ETH account (username@ethz.ch) via M365 subscription
Free of charge (included in M365 subscription)
Microsoft 365 Copilot Chat (Enterprise Data Protection) · Official evidence
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The service can be accessed in a protected environment via a Microsoft 365 Cloud Subscription , which is provided by ETH Zürich.
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The work mode of M365 Copilot without the web search option is approved for use with confidential data . The web search option is disabled in the work mode by default. M365 Copilot Chat and the web mode of M365 Copilot is approved for internal data .
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Uploading strictly confidential data to external cloud services, including AI tools, is prohibited. The work mode of M365 Copilot without the web search option is approved for use with confidential data . The web search option is disabled in the work mode by default. M365 Copilot Chat and the web mode of M365 Copilot is approved for internal data . AI tools lacking a cloud assessment have not been released for use with ETH data. Processing confidential, strictly confidential, or protected personal data is not permitted.
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Information is classified as “ strictly confidential ” if unauthorised access could damage the interests of ETH Zurich. It must not be stored on external cloud services and may only be shared with a specifically authorised group under strict security precautions. Information is classified as “ confidential ” if unauthorised access could significantly damage the interests of ETH Zurich. It must be limited to specific authorised individuals and securely stored.
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Information is classified as “ internal ” if unauthorised access could damage the interests of ETH Zurich. Such information is therefore generally intended solely for members of ETH Zurich. Unless explicitly stated otherwise, all data and information at ETH is considered “internal”.
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How Can I Use Microsoft Copilot? × Contact Deutsch Microsoft 365 Manuals and Documentation Guides - Copilot Current: How Can I Use Microsoft Copilot? How Can I Use Microsoft Copilot? This page is only available in English. The Enterprise Plan for Microsoft 365 Copilot has the two following plans: Microsoft 365 Copilot Chat (with Enterprise Protection) available to all ETH users with a Microsoft 365 Subscription Microsoft 365 Copilot (available only for ETH employees) requires a basic license ( Microsoft 365 A5 for faculty ) plus an add-on license that can be acquired through the IT-Shop . Further detailed information can be found here: Microsoft Copilot Manual Navigate to https://copilot.mic
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rosoft.com/ Sign in with your ETH Account (username@ ethz.ch ) and credentials. After a successful login, you can use Microsoft Copilot. Getting started with Copilot on Windows - Microsoft Support × Copyright © 2026 Informatikdienste der ETH Zürich • Powered by Scroll Sites and Atlassian Confluence
Google Gemini Chat (Base Offering)Institutional access / licenceConditions apply
ETH Google account via Google Workspace Cloud Subscription
Google Gemini Chat (Base Offering) · Access conditions
All ETH members (students and employees). Data: Unassessed by CISO (OPEN). Tools lacking a cloud assessment have not been released for use with ETH data; processing confidential, strictly confidential, or protected personal data is not permitted. Access included under institutional Google Workspace subscription, but access does not constitute data security approval. Assessment: Recommended for teaching purposes on IT page; coursework and assessment use subject to individual course/lecturer rules
ETH Google account via Google Workspace Cloud Subscription
Free of charge (covered by institutional subscription)
Google Gemini Chat (Base Offering) · Official evidence
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Original quotation
ETH Zurich offers a Google Workspace Cloud Subscription that allows the service to be used free of charge and in a protected environment. As with Microsoft Copilot, data entered is not used to train the models.
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The conversation history retention period is 18 months. In addition, Gemini Chat History can be individually deleted.
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Google AI Tools have not yet been assessed by the CISO.
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Original quotation
Uploading strictly confidential data to external cloud services, including AI tools, is prohibited. The work mode of M365 Copilot without the web search option is approved for use with confidential data . The web search option is disabled in the work mode by default. M365 Copilot Chat and the web mode of M365 Copilot is approved for internal data . AI tools lacking a cloud assessment have not been released for use with ETH data. Processing confidential, strictly confidential, or protected personal data is not permitted.
Source 5 ↗
Original quotation
Information is classified as “ strictly confidential ” if unauthorised access could damage the interests of ETH Zurich. It must not be stored on external cloud services and may only be shared with a specifically authorised group under strict security precautions. Information is classified as “ confidential ” if unauthorised access could significantly damage the interests of ETH Zurich. It must be limited to specific authorised individuals and securely stored.
Source 6 ↗
Original quotation
Information is classified as “ internal ” if unauthorised access could damage the interests of ETH Zurich. Such information is therefore generally intended solely for members of ETH Zurich. Unless explicitly stated otherwise, all data and information at ETH is considered “internal”.
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Google Gemini × Contact Deutsch Google Workspace Google Workspace Services Current: Google Gemini Google Gemini This page is only available in English. Gemini apps The Google Workspace subscription at ETH includes the following Gemini apps: Gemini in Workspace apps include in-line features like Help me write in Gmail and the Workspace side panel Gemini Chat is a general-purpose assistant designed to help with a massive range of daily tasks. It can be accessed through gemini.google.com , mobile apps, and Gemini in Chrome. The conversation history retention period is 18 months. In addition, Gemini Chat History can be individually deleted. NotebookLM is Google’s AI-powered research and writing
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assistant designed to help synthesize information from given documents. Gemini apps as a core service Gemini Apps as a core service with Google AI Pro for Education Access & license ETH members | Google Workspace subscription ETH employees | Google Workspace subscription + Google AI Pro license Prerequisite Only employees with a Google Workspace subscription can order a Google AI Pro license . App integration with Google Docs, Sheets, etc. Access to features & models with enterprise-grade security & privacy Expanded access to features & models with enterprise-grade security & privacy Cost Included in the Google Workspace subscription Subject to fee Enterprise data protection Cloud assessment
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OPEN OPEN Data residency for Gemini in Workspace EUROPE EUROPE Data residency for NotebookLM GLOBAL GLOBAL Check if you have access to Google AI Pro Go to gemini.google.com Check for the Pro badge on the top right. If you find the Pro badge, you have expanded access to features and models. Check if you have access to expanded features & models | Gemini Apps Help Personalization in Gemini apps These features are not available while signed in with ETH accounts (work and school accounts). Get personalization in Gemini Apps | Google Support Guides & Helpful Links Guides & Helpful Links How Can I order Google AI Pro? Google Gemini - Helpful Links × Copyright © 2026 Informatikdienste der ETH Züri
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ch • Powered by Scroll Sites and Atlassian Confluence
Google NotebookLM (Workspace Subscription)Institutional access / licenceConditions apply
Sign in with ETH Google account via Google Workspace Cloud Subscription
Google NotebookLM (Workspace Subscription) · Access conditions
All ETH members (students and employees). Data: Unassessed by CISO (OPEN). Tools lacking a cloud assessment have not been released for use with ETH data; processing confidential, strictly confidential, or protected personal data is not permitted. Access included under institutional Google Workspace subscription, but access does not constitute data security approval. Assessment: Recommended for teaching purposes on IT page; coursework and assessment use subject to lecturer authorization
Sign in with ETH Google account via Google Workspace Cloud Subscription
Free of charge (included in institutional Google Workspace subscription)
Google NotebookLM (Workspace Subscription) · Official evidence
Source 1 ↗
Original quotation
As with Google Gemini, ETH Zurich offers access via the Google Workspace Cloud subscription . This guarantees the use of the service in a protected environment in which the data entered is not used for training the models.
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Google AI Tools have not yet been assessed by the CISO.
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Uploading strictly confidential data to external cloud services, including AI tools, is prohibited. The work mode of M365 Copilot without the web search option is approved for use with confidential data . The web search option is disabled in the work mode by default. M365 Copilot Chat and the web mode of M365 Copilot is approved for internal data . AI tools lacking a cloud assessment have not been released for use with ETH data. Processing confidential, strictly confidential, or protected personal data is not permitted.
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Information is classified as “ strictly confidential ” if unauthorised access could damage the interests of ETH Zurich. It must not be stored on external cloud services and may only be shared with a specifically authorised group under strict security precautions. Information is classified as “ confidential ” if unauthorised access could significantly damage the interests of ETH Zurich. It must be limited to specific authorised individuals and securely stored.
Source 5 ↗
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Information is classified as “ internal ” if unauthorised access could damage the interests of ETH Zurich. Such information is therefore generally intended solely for members of ETH Zurich. Unless explicitly stated otherwise, all data and information at ETH is considered “internal”.
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AI Tools & Licenses | ETH Zurich Homepage Navigation Search Content Footer Contact Sitemap Header Services Student portal Alumni association Staffnet Contact Login Search Search en EN DE FR (TA) IT (TA) Departments ETH Zurich Select a department Departments D-ARCH: Architecture D-BAUG: Civil, Environmental and Geomatic Engineering D-BSSE: Biosystems Science and Engineering D-INFK: Computer Science D-ITET: Information Technology and Electrical Engineering D-MATL: Department of Materials D-MAVT: Mechanical and Process Engineering D-BIOL: Biology D-CHAB: Chemistry and Applied Biosciences D-MATH: Mathematics D-PHYS: Physics D-EAPS: Earth and Planetary Sciences D-HEST: Health Sciences and Technol
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ogy D-USYS: Environmental Systems Science D-MTEC: Management, Technology and Economics D-GESS: Humanities, Social and Political Sciences Language Selection en English Deutsch Français (TA) Italiano (TA) You are here Homepage ETH Zurich Education AI in Teaching and Learning AI Tools & Licenses AI Tools & Licenses This page provides an overview of common generative AI tools, a field that is constantly growing and changing. The use of Microsoft Copilot as well as Google Gemini and NotebookLM is currently recommended, as data-protected access is possible directly via an ETH account. The scope of application of AI goes far beyond the tools listed here. The ETH AI Center is working intensively on
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various application scenarios, including in the field of teaching, and is the central hub for artificial intelligence. Some possibilities of application in the field of teaching, which are currently being developed, are listed under projects . You can also find specific information on the direct use of these tools under Assistance for Teaching . Apertus (Image: EPFL, ETH Zurich, CSCS / Molinari Design) The language model external page Apertus was developed in collaboration between ETH Zurich, EPFL, and CSCS (Swiss National Supercomputing Center). It serves as a foundation on which developers and organizations can build future applications, such as chatbots, translation systems, and digital l
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earning tools. The entire development process, including architecture, model weights, training data, and methods, is freely accessible and comprehensively documented. Initial impressions of the multilingual model can be gained via the test platform external page Try Apertus . Detailed information about the project can be found on the website of the external page Swiss AI Initiative . Recommended generative AI tools The page on AI-Tools at ETH Zurich provides an up-to-date overview of the growing landscape of various AI tools. The Gemini and NotebookLM offerings from Google, as well as Copilot from Microsoft, which are accessible via an ETH cloud subscription, are available to all ETH employe
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es and students via secure access. It is therefore recommended that these tools be used primarily for teaching purposes. Status, October 2025 The external page Microsoft Copilot Website (formerly Bing Chat) is a tool based on generative AI that can generate text and images and is available free of charge. The service can be accessed in a protected environment via a Microsoft 365 Cloud Subscription , which is provided by ETH Zürich. In addition to direct web access, Copilot is also integrated directly into the Edge browser and can also be used via your ETH account. An overview of the entire product range (including M365 Copilot and Github Copilot) is available on the website Microsoft Copilot
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from IT Services. The freely accessible version of Microsoft Copilot offers freely available text and image generation, the ‘ protected ’ status (with Microsoft ETH-account ), whereby personal data is not used as training data, a chat history of previously executed queries, the direct integration of an Internet search, links to further resources, uploading a document for specific questioning. The fee-based Pro/Business versions offer prioritised access, GPTs that can be configured for your own needs (‘chat bots’), the integration of Copilot into office and other Microsoft applications. The licence cost for Copilot for M365 is charged on a per-user, per-year basis. All details on the specifi
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c and technical information can be found at Microsoft Copilot , the offer overview page of Cloud Services at ETH Zurich. Status, October 2025 The offering external page Google Gemini (formerly Bard) is based on a Large Language Model (LLM) developed by Google itself. It can be used, among other things, to integrate image uploads and voice input to generate texts. ETH Zurich offers a Google Workspace Cloud Subscription that allows the service to be used free of charge and in a protected environment. As with Microsoft Copilot, data entered is not used to train the models. The free version of Google Gemini offers free text generation based on text, image or voice input, a protected status (with
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Google ETH account ), whereby personal data is not used by Google as training data, direct integration of an internet search, the chat history of previously executed queries. The advanced version, which is subject to a fee, offers prioritised access and more up-to-date models, direct integration of personal data storage. All the specific details about the ETH Google account in connection with Google Gemini and the associated options can be found at Google AI Tools from ETH Zurich's cloud services. Status, July 2025 The external page NotebookLM application from Google enables users to work and interact with their own resources. It is characterized by a wide range of possible uses. In additio
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n, a customized podcast can be created that provides alternative access to the content provided. Notebooks can be shared within ETH Zurich. This enables access to resources within groups or for students as part of learning units. As with Google Gemini, ETH Zurich offers access via the Google Workspace Cloud subscription . This guarantees the use of the service in a protected environment in which the data entered is not used for training the models. The free version of NotebookLM offers the ability to upload your own documents and link to websites, create summaries and interact with content, and generate podcasts. The paid Pro version offers expanded resource integration, access to newer mode
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ls, and advanced customisation options. Further information on the offerings can be found at Google AI Tools in the ETH Zurich IT knowledge database. Additional AI tools The following non-exhaustive list shows a selection of these tools that are currently well known or have proven to be particularly useful. Status, December 2024 OpenAI was the first player on the market with external page ChatGPT and was able to establish itself across the board very quickly. The further development of the Large Language Models (LLM), the refinement of the options for interacting with the model and the range of products on offer are constantly expanding. With the introduction of GPTs (custom GPTs, personal ‘
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chat bots’) in autumn 2023, it also became possible to enhance the outputs of generative AI with your own data and configure them to suit your own needs. This offer is subject to certain restrictions and in some cases is only possible via the paid Plus version. The freely accessible version of ChaptGPT offers freely available text generation, a chat history of previously executed queries ( note : data is stored on the OpenAI server). The Plus/Team versions, which are subject to a charge, offer prioritised access and more up-to-date models, image generation, GPTs (‘chat bots’) that can be configured for your own needs. A personal account must always be created to access ChatGPT. It is strongl
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y recommended to switch off the option "Improve the model for everyone" so that inserted texts and data are not used for training the model (see external page Data Controls FAQ von OpenAI). Status, December 2024 Anthropic, the company behind the product external page Claude.AI , has made a name for itself in recent months with its highly advanced Large Language Model (LLM). This product also allows users to upload images and integrate multiple documents (upload limit in the free version). The freely accessible version of Claude.AI offers freely available text generation based on text, upload of your own documents, a chat history of previously executed queries ( note : data is stored on the s
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erver). The chargeable Pro-/Team-version offers prioritised access and more up-to-date models, organisation of projects as well as document mangament. In order to access Claude.AI, a personal account must be created in any case. Anthropic guarantees that the data used for the interaction with the LLM will not be used to train their models (see Anthropic's external page Data Handling & Retention ). Below is a list of some AI tools that are currently also frequently used and supplement the tools above. The list does not claim to be exhaustive. external page Perplexity AI focusses on correct references to further resources. external page DeepSeek and external page Grok are other well known and
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often discussed GenAI tools. external page There's an AI for That offers a search engine for every conceivable AI tool. A number of AI-based tools have already become established, particularly in scientific work and literature research. A brief overview can be found here. Connected Papers is a literature research tool (premium version via the ETH Zurich account). Scopus AI and Scite , AI-powered research tools available at ETH Zurich. external page Open Knowledge Maps , an AI-based search engine for science. external page ResearchRabbit provides support in organising and searching for literature. Information security and artificial intelligence In order to make targeted but also responsible
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use of the possibilities offered by generative AI technologies while minimizing risks such as data protection violations and ethical conflicts, IT Services Information Security has published guidelines for the safe use of AI at ETH Zurich . The protection of sensitive and personal data is a top priority. In addition, it is important to always keep an eye on the critical review of content and compliance with legal frameworks. Footer Recommended links Media information Search Keyword or person Follow us Services Student portal Alumni association Staffnet Contact Login Departments D-ARCH Architecture D-BAUG Civil, Environmental and Geomatic Engineering D-BIOL Biology D-BSSE Biosystems Science a
Source 21 ↗
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nd Engineering D-CHAB Chemistry and Applied Biosciences D-EAPS Earth and Planetary Sciences D-GESS Humanities, Social and Political Sciences D-HEST Health Sciences and Technology D-INFK Computer Science D-ITET Information Technology and Electrical Engineering D-MATH Mathematics D-MATL Department of Materials D-MAVT Mechanical and Process Engineering D-MTEC Management, Technology and Economics D-PHYS Physics D-USYS Environmental Systems Science Table of contents and legal Sitemap Imprint Accessibility Statement Disclaimer & Copyright Data protection © 2026 Eidgenössische Technische Hochschule Zürich JavaScript has been disabled in your browser

These tools have audience, mode or purpose limits; access is not established for all students.

Tools for specific users and service modes

Microsoft 365 Copilot (Work Mode - Enterprise)Institutional access / licenceConditions apply
ETH employee account with M365 subscription and add-on license acquired through IT-Shop (M365 A5 faculty base mentioned in IT guides; specific license allocation details unknown)
Microsoft 365 Copilot (Work Mode - Enterprise) · Access conditions
ETH employees only. Data: Approved for CONFIDENTIAL data when web search is disabled (prohibited for strictly confidential data) Assessment: unknown (IT page defines employee access and confidential data rules; does not specify teaching/assessment permissions; subject to applicable course rules)
ETH employee account with M365 subscription and add-on license acquired through IT-Shop (M365 A5 faculty base mentioned in IT guides; specific license allocation details unknown)
Subject to fee (official page notes add-on license via IT-Shop; specific fee amount and billing cycle unknown)
Microsoft 365 Copilot (Work Mode - Enterprise) · Official evidence
Source 1 ↗
Original quotation
The service can be accessed in a protected environment via a Microsoft 365 Cloud Subscription , which is provided by ETH Zürich.
Source 2 ↗
Original quotation
The work mode of M365 Copilot without the web search option is approved for use with confidential data . The web search option is disabled in the work mode by default. M365 Copilot Chat and the web mode of M365 Copilot is approved for internal data .
Source 3 ↗
Original quotation
Uploading strictly confidential data to external cloud services, including AI tools, is prohibited. The work mode of M365 Copilot without the web search option is approved for use with confidential data . The web search option is disabled in the work mode by default. M365 Copilot Chat and the web mode of M365 Copilot is approved for internal data . AI tools lacking a cloud assessment have not been released for use with ETH data. Processing confidential, strictly confidential, or protected personal data is not permitted.
Source 4 ↗
Original quotation
Information is classified as “ strictly confidential ” if unauthorised access could damage the interests of ETH Zurich. It must not be stored on external cloud services and may only be shared with a specifically authorised group under strict security precautions. Information is classified as “ confidential ” if unauthorised access could significantly damage the interests of ETH Zurich. It must be limited to specific authorised individuals and securely stored.
Source 5 ↗
Original quotation
Information is classified as “ internal ” if unauthorised access could damage the interests of ETH Zurich. Such information is therefore generally intended solely for members of ETH Zurich. Unless explicitly stated otherwise, all data and information at ETH is considered “internal”.
Source 6 ↗
Original quotation
How Can I Use Microsoft Copilot? × Contact Deutsch Microsoft 365 Manuals and Documentation Guides - Copilot Current: How Can I Use Microsoft Copilot? How Can I Use Microsoft Copilot? This page is only available in English. The Enterprise Plan for Microsoft 365 Copilot has the two following plans: Microsoft 365 Copilot Chat (with Enterprise Protection) available to all ETH users with a Microsoft 365 Subscription Microsoft 365 Copilot (available only for ETH employees) requires a basic license ( Microsoft 365 A5 for faculty ) plus an add-on license that can be acquired through the IT-Shop . Further detailed information can be found here: Microsoft Copilot Manual Navigate to https://copilot.mic
Source 7 ↗
Original quotation
rosoft.com/ Sign in with your ETH Account (username@ ethz.ch ) and credentials. After a successful login, you can use Microsoft Copilot. Getting started with Copilot on Windows - Microsoft Support × Copyright © 2026 Informatikdienste der ETH Zürich • Powered by Scroll Sites and Atlassian Confluence
Microsoft 365 Copilot (Web Mode)Institutional access / licenceConditions apply
M365 Copilot license with web search toggle enabled
Microsoft 365 Copilot (Web Mode) · Access conditions
ETH employees with M365 Copilot license. Data: Approved for INTERNAL data only (web search queries leave tenant boundary) Assessment: unknown (subject to applicable course rules)
M365 Copilot license with web search toggle enabled
Included with M365 Copilot employee license (specific add-on fee unknown)
Microsoft 365 Copilot (Web Mode) · Official evidence
Source 1 ↗
Original quotation
The service can be accessed in a protected environment via a Microsoft 365 Cloud Subscription , which is provided by ETH Zürich.
Source 2 ↗
Original quotation
The work mode of M365 Copilot without the web search option is approved for use with confidential data . The web search option is disabled in the work mode by default. M365 Copilot Chat and the web mode of M365 Copilot is approved for internal data .
Source 3 ↗
Original quotation
Uploading strictly confidential data to external cloud services, including AI tools, is prohibited. The work mode of M365 Copilot without the web search option is approved for use with confidential data . The web search option is disabled in the work mode by default. M365 Copilot Chat and the web mode of M365 Copilot is approved for internal data . AI tools lacking a cloud assessment have not been released for use with ETH data. Processing confidential, strictly confidential, or protected personal data is not permitted.
Source 4 ↗
Original quotation
Information is classified as “ strictly confidential ” if unauthorised access could damage the interests of ETH Zurich. It must not be stored on external cloud services and may only be shared with a specifically authorised group under strict security precautions. Information is classified as “ confidential ” if unauthorised access could significantly damage the interests of ETH Zurich. It must be limited to specific authorised individuals and securely stored.
Source 5 ↗
Original quotation
Information is classified as “ internal ” if unauthorised access could damage the interests of ETH Zurich. Such information is therefore generally intended solely for members of ETH Zurich. Unless explicitly stated otherwise, all data and information at ETH is considered “internal”.
Source 6 ↗
Original quotation
How Can I Use Microsoft Copilot? × Contact Deutsch Microsoft 365 Manuals and Documentation Guides - Copilot Current: How Can I Use Microsoft Copilot? How Can I Use Microsoft Copilot? This page is only available in English. The Enterprise Plan for Microsoft 365 Copilot has the two following plans: Microsoft 365 Copilot Chat (with Enterprise Protection) available to all ETH users with a Microsoft 365 Subscription Microsoft 365 Copilot (available only for ETH employees) requires a basic license ( Microsoft 365 A5 for faculty ) plus an add-on license that can be acquired through the IT-Shop . Further detailed information can be found here: Microsoft Copilot Manual Navigate to https://copilot.mic
Source 7 ↗
Original quotation
rosoft.com/ Sign in with your ETH Account (username@ ethz.ch ) and credentials. After a successful login, you can use Microsoft Copilot. Getting started with Copilot on Windows - Microsoft Support × Copyright © 2026 Informatikdienste der ETH Zürich • Powered by Scroll Sites and Atlassian Confluence
Google AI Pro for Education (Add-on)Institutional access / licenceConditions apply
ETH Google account with Google AI Pro license (ordered via IT-Shop; employees with Google Workspace subscription; specific approval/billing requirements unknown)
Google AI Pro for Education (Add-on) · Access conditions
ETH employees only (faculty & staff with Google Workspace subscription). Data: Unassessed by CISO (OPEN). Not released for use with ETH data; processing confidential, strictly confidential, or protected personal data is not permitted. Assessment: unknown (IT page specifies employee access and licensing only; does not define teaching or assessment permission; subject to applicable supervisor and course rules)
ETH Google account with Google AI Pro license (ordered via IT-Shop; employees with Google Workspace subscription; specific approval/billing requirements unknown)
Subject to fee (official documentation notes 'Subject to fee'; specific billing cycle and cost-center allocation unknown)
Google AI Pro for Education (Add-on) · Official evidence
Source 1 ↗
Original quotation
ETH Zurich offers a Google Workspace Cloud Subscription that allows the service to be used free of charge and in a protected environment. As with Microsoft Copilot, data entered is not used to train the models.
Source 2 ↗
Original quotation
The conversation history retention period is 18 months. In addition, Gemini Chat History can be individually deleted.
Source 3 ↗
Original quotation
Google AI Tools have not yet been assessed by the CISO.
Source 4 ↗
Original quotation
Uploading strictly confidential data to external cloud services, including AI tools, is prohibited. The work mode of M365 Copilot without the web search option is approved for use with confidential data . The web search option is disabled in the work mode by default. M365 Copilot Chat and the web mode of M365 Copilot is approved for internal data . AI tools lacking a cloud assessment have not been released for use with ETH data. Processing confidential, strictly confidential, or protected personal data is not permitted.
Source 5 ↗
Original quotation
Information is classified as “ strictly confidential ” if unauthorised access could damage the interests of ETH Zurich. It must not be stored on external cloud services and may only be shared with a specifically authorised group under strict security precautions. Information is classified as “ confidential ” if unauthorised access could significantly damage the interests of ETH Zurich. It must be limited to specific authorised individuals and securely stored.
Source 6 ↗
Original quotation
Information is classified as “ internal ” if unauthorised access could damage the interests of ETH Zurich. Such information is therefore generally intended solely for members of ETH Zurich. Unless explicitly stated otherwise, all data and information at ETH is considered “internal”.
Source 7 ↗
Original quotation
Google Gemini × Contact Deutsch Google Workspace Google Workspace Services Current: Google Gemini Google Gemini This page is only available in English. Gemini apps The Google Workspace subscription at ETH includes the following Gemini apps: Gemini in Workspace apps include in-line features like Help me write in Gmail and the Workspace side panel Gemini Chat is a general-purpose assistant designed to help with a massive range of daily tasks. It can be accessed through gemini.google.com , mobile apps, and Gemini in Chrome. The conversation history retention period is 18 months. In addition, Gemini Chat History can be individually deleted. NotebookLM is Google’s AI-powered research and writing
Source 8 ↗
Original quotation
assistant designed to help synthesize information from given documents. Gemini apps as a core service Gemini Apps as a core service with Google AI Pro for Education Access & license ETH members | Google Workspace subscription ETH employees | Google Workspace subscription + Google AI Pro license Prerequisite Only employees with a Google Workspace subscription can order a Google AI Pro license . App integration with Google Docs, Sheets, etc. Access to features & models with enterprise-grade security & privacy Expanded access to features & models with enterprise-grade security & privacy Cost Included in the Google Workspace subscription Subject to fee Enterprise data protection Cloud assessment
Source 9 ↗
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OPEN OPEN Data residency for Gemini in Workspace EUROPE EUROPE Data residency for NotebookLM GLOBAL GLOBAL Check if you have access to Google AI Pro Go to gemini.google.com Check for the Pro badge on the top right. If you find the Pro badge, you have expanded access to features and models. Check if you have access to expanded features & models | Gemini Apps Help Personalization in Gemini apps These features are not available while signed in with ETH accounts (work and school accounts). Get personalization in Gemini Apps | Google Support Guides & Helpful Links Guides & Helpful Links How Can I order Google AI Pro? Google Gemini - Helpful Links × Copyright © 2026 Informatikdienste der ETH Züri
Source 10 ↗
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ch • Powered by Scroll Sites and Atlassian Confluence
Google AI Studio PilotInstitutional access / licenceConditions apply
Request pilot participation via IT Service Desk (servicedesk@id.ethz.ch)
Google AI Studio Pilot · Access conditions
ETH members with Google Workspace subscription (restricted pilot). Data: Pilot access only; unassessed by CISO (OPEN); not released for ETH confidential, strictly confidential, or protected personal data. Assessment: unknown (IT page specifies account and pilot eligibility only; does not state coursework or examination approval or prohibition; subject to applicable course rules)
Request pilot participation via IT Service Desk (servicedesk@id.ethz.ch)
unknown
Google AI Studio Pilot · Official evidence
Source 1 ↗
Original quotation
ETH Zurich offers a Google Workspace Cloud Subscription that allows the service to be used free of charge and in a protected environment. As with Microsoft Copilot, data entered is not used to train the models.
Source 2 ↗
Original quotation
The conversation history retention period is 18 months. In addition, Gemini Chat History can be individually deleted.
Source 3 ↗
Original quotation
Google AI Tools have not yet been assessed by the CISO.
Source 4 ↗
Original quotation
Uploading strictly confidential data to external cloud services, including AI tools, is prohibited. The work mode of M365 Copilot without the web search option is approved for use with confidential data . The web search option is disabled in the work mode by default. M365 Copilot Chat and the web mode of M365 Copilot is approved for internal data . AI tools lacking a cloud assessment have not been released for use with ETH data. Processing confidential, strictly confidential, or protected personal data is not permitted.
Source 5 ↗
Original quotation
Information is classified as “ strictly confidential ” if unauthorised access could damage the interests of ETH Zurich. It must not be stored on external cloud services and may only be shared with a specifically authorised group under strict security precautions. Information is classified as “ confidential ” if unauthorised access could significantly damage the interests of ETH Zurich. It must be limited to specific authorised individuals and securely stored.
Source 6 ↗
Original quotation
Information is classified as “ internal ” if unauthorised access could damage the interests of ETH Zurich. Such information is therefore generally intended solely for members of ETH Zurich. Unless explicitly stated otherwise, all data and information at ETH is considered “internal”.
Source 7 ↗
Original quotation
Google Gemini × Contact Deutsch Google Workspace Google Workspace Services Current: Google Gemini Google Gemini This page is only available in English. Gemini apps The Google Workspace subscription at ETH includes the following Gemini apps: Gemini in Workspace apps include in-line features like Help me write in Gmail and the Workspace side panel Gemini Chat is a general-purpose assistant designed to help with a massive range of daily tasks. It can be accessed through gemini.google.com , mobile apps, and Gemini in Chrome. The conversation history retention period is 18 months. In addition, Gemini Chat History can be individually deleted. NotebookLM is Google’s AI-powered research and writing
Source 8 ↗
Original quotation
assistant designed to help synthesize information from given documents. Gemini apps as a core service Gemini Apps as a core service with Google AI Pro for Education Access & license ETH members | Google Workspace subscription ETH employees | Google Workspace subscription + Google AI Pro license Prerequisite Only employees with a Google Workspace subscription can order a Google AI Pro license . App integration with Google Docs, Sheets, etc. Access to features & models with enterprise-grade security & privacy Expanded access to features & models with enterprise-grade security & privacy Cost Included in the Google Workspace subscription Subject to fee Enterprise data protection Cloud assessment
Source 9 ↗
Original quotation
OPEN OPEN Data residency for Gemini in Workspace EUROPE EUROPE Data residency for NotebookLM GLOBAL GLOBAL Check if you have access to Google AI Pro Go to gemini.google.com Check for the Pro badge on the top right. If you find the Pro badge, you have expanded access to features and models. Check if you have access to expanded features & models | Gemini Apps Help Personalization in Gemini apps These features are not available while signed in with ETH accounts (work and school accounts). Get personalization in Gemini Apps | Google Support Guides & Helpful Links Guides & Helpful Links How Can I order Google AI Pro? Google Gemini - Helpful Links × Copyright © 2026 Informatikdienste der ETH Züri
Source 10 ↗
Original quotation
ch • Powered by Scroll Sites and Atlassian Confluence
Google Vertex AI (Cloud Project)Institutional access / licenceConditions apply
Google Cloud Project subscription managed via ID CCR Cloud Service Center
Google Vertex AI (Cloud Project) · Access conditions
ETH employees with Google Workspace subscription and Google Cloud Project. Data: Requires project-specific cloud assessment before processing project data; unassessed cloud services must not process confidential or strictly confidential ETH data. Assessment: unknown (IT page specifies employee access and Google Project subscription only; does not define exclusive use or teaching/assessment permissions; subject to applicable course rules)
Google Cloud Project subscription managed via ID CCR Cloud Service Center
unknown
Google Vertex AI (Cloud Project) · Official evidence
Source 1 ↗
Original quotation
ETH Zurich offers a Google Workspace Cloud Subscription that allows the service to be used free of charge and in a protected environment. As with Microsoft Copilot, data entered is not used to train the models.
Source 2 ↗
Original quotation
The conversation history retention period is 18 months. In addition, Gemini Chat History can be individually deleted.
Source 3 ↗
Original quotation
Google AI Tools have not yet been assessed by the CISO.
Source 4 ↗
Original quotation
Uploading strictly confidential data to external cloud services, including AI tools, is prohibited. The work mode of M365 Copilot without the web search option is approved for use with confidential data . The web search option is disabled in the work mode by default. M365 Copilot Chat and the web mode of M365 Copilot is approved for internal data . AI tools lacking a cloud assessment have not been released for use with ETH data. Processing confidential, strictly confidential, or protected personal data is not permitted.
Source 5 ↗
Original quotation
Information is classified as “ strictly confidential ” if unauthorised access could damage the interests of ETH Zurich. It must not be stored on external cloud services and may only be shared with a specifically authorised group under strict security precautions. Information is classified as “ confidential ” if unauthorised access could significantly damage the interests of ETH Zurich. It must be limited to specific authorised individuals and securely stored.
Source 6 ↗
Original quotation
Information is classified as “ internal ” if unauthorised access could damage the interests of ETH Zurich. Such information is therefore generally intended solely for members of ETH Zurich. Unless explicitly stated otherwise, all data and information at ETH is considered “internal”.
Source 7 ↗
Original quotation
Google Gemini × Contact Deutsch Google Workspace Google Workspace Services Current: Google Gemini Google Gemini This page is only available in English. Gemini apps The Google Workspace subscription at ETH includes the following Gemini apps: Gemini in Workspace apps include in-line features like Help me write in Gmail and the Workspace side panel Gemini Chat is a general-purpose assistant designed to help with a massive range of daily tasks. It can be accessed through gemini.google.com , mobile apps, and Gemini in Chrome. The conversation history retention period is 18 months. In addition, Gemini Chat History can be individually deleted. NotebookLM is Google’s AI-powered research and writing
Source 8 ↗
Original quotation
assistant designed to help synthesize information from given documents. Gemini apps as a core service Gemini Apps as a core service with Google AI Pro for Education Access & license ETH members | Google Workspace subscription ETH employees | Google Workspace subscription + Google AI Pro license Prerequisite Only employees with a Google Workspace subscription can order a Google AI Pro license . App integration with Google Docs, Sheets, etc. Access to features & models with enterprise-grade security & privacy Expanded access to features & models with enterprise-grade security & privacy Cost Included in the Google Workspace subscription Subject to fee Enterprise data protection Cloud assessment
Source 9 ↗
Original quotation
OPEN OPEN Data residency for Gemini in Workspace EUROPE EUROPE Data residency for NotebookLM GLOBAL GLOBAL Check if you have access to Google AI Pro Go to gemini.google.com Check for the Pro badge on the top right. If you find the Pro badge, you have expanded access to features and models. Check if you have access to expanded features & models | Gemini Apps Help Personalization in Gemini apps These features are not available while signed in with ETH accounts (work and school accounts). Get personalization in Gemini Apps | Google Support Guides & Helpful Links Guides & Helpful Links How Can I order Google AI Pro? Google Gemini - Helpful Links × Copyright © 2026 Informatikdienste der ETH Züri
Source 10 ↗
Original quotation
ch • Powered by Scroll Sites and Atlassian Confluence
Turnitin OriginalityOfficial recommendationConditions apply
Access via ETH account managed by ETH Library (turnitin.ethz.ch)
Turnitin Originality · Access conditions
Professors and lecturers only (students and non-lecturers have no direct access). Data: Public and Internal documents only (confidential or strictly confidential documents prohibited) Assessment: Selective screening upon suspicion recommended; human review required for false positives; broad Executive Board ban not evidenced on official page
Access via ETH account managed by ETH Library (turnitin.ethz.ch)
unknown
Turnitin Originality · Official evidence
Source 1 ↗
Original quotation
Please note that access to the plagiarism detection software is exclusively intended for professors and lecturers of ETH Zurich. Students and employees without the lecturer role cannot use Turnitin Originality.
Source 2 ↗
Original quotation
Note the confidentiality level: Only documents classified as "public" or "internal" may be uploaded to Turnitin Originality for similarity checking.
Source 3 ↗
Original quotation
Selective use only in cases of suspicion prevents a culture of mistrust.
Source 4 ↗
Original quotation
False positives: Turnitin Originality may flag sections of texts as plagiarised even if they have been cited correctly. Always check highlighted sections carefully to determine if they have really been plagiarised or if the software has merely produced a false positive.
Source 5 ↗
Original quotation
Plagiarism check – ETH Library | ETH Zurich Homepage Navigation Search Content Footer Contact Sitemap ETH Library Services Student portal Alumni association Staffnet Login Search Search en EN DE Departments ETH Zurich ETH Library Language Selection en English Deutsch You are here Homepage Scientific writing Plagiarism and academic integrity Plagiarism check Plagiarism check Please note that access to the plagiarism detection software is exclusively intended for professors and lecturers of ETH Zurich. Students and employees without the lecturer role cannot use Turnitin Originality. (Access to Turnitin Originality (with ETH account)) Turnitin Originality is a web-based text similarity detectio
Source 6 ↗
Original quotation
n software. Submitted documents are compared against an extensive database of academic papers (both published and unpublished), books, journals, and other sources: Some features: Doc-to-doc comparison: direct comparison of a document with one or up to 5 other documents. Detecting plagiarism: Turnitin Originality detects similarities in texts including paraphrasing, citations and references. Originality reports: The tool generates an originality report that highlights all the areas of the document that match the sources in the database. The report also shows the percentage of similarity and the matching sources. Checking quotations and references: Turnitin Originality can check citations and
Source 7 ↗
Original quotation
references in submitted documents to ensure that they are properly formatted and incorporated correctly. There are a few things to keep in mind when using Turnitin Originality: Note the confidentiality level: Only documents classified as "public" or "internal" may be uploaded to Turnitin Originality for similarity checking. For more details, see the Download terms and conditions of use (PDF, 143 KB) . Understand the limitations: Turnitin Originality is not infallible. It relies on its source database and may not detect all instances of plagiarism, for example, if the source is not in the database. Turnitin Originality is not a substitute for teaching proper citation and referencing practices
Source 8 ↗
Original quotation
. Instructors should guide students on correct citation and referencing. Here, the ETH Library offers support. Watch out for false positives: Turnitin Originality can mark text as plagiarised even if it is properly cited. It is important to carefully review the flagged text to determine if it is indeed plagiarised or a false positive. False positives: Turnitin Originality may flag sections of texts as plagiarised even if they have been cited correctly. Always check highlighted sections carefully to determine if they have really been plagiarised or if the software has merely produced a false positive. Use the software responsibly: Plagiarism detection software should be used in a responsible
Source 9 ↗
Original quotation
and ethical manner. Selective use only in cases of suspicion prevents a culture of mistrust. The following use cases are possible: Plagiarism check of written work of students from the teaching context such as term papers and bachelor's/master's theses: The plagiarism check is carried out by supervisors (usually professors or lecturers) if plagiarism is suspected. If the suspicion is confirmed, it is communicated by the supervisors to the ETH's Office of Legal Affairs in Teaching and further processed together with them. Plagiarism check of written work that is produced in the context of a doctorate: Term papers, papers, abstracts, doctoral theses. The examination is carried out by superviso
Source 10 ↗
Original quotation
rs (professors or lecturers) if plagiarism is suspected. If the suspicion is confirmed, it will be communicated by the supervisors to the ETH Research Ethics via trusted persons and followed up. Plagiarism check of texts produced in the context of research: Papers, abstracts, habilitation theses, etc. The check is carried out by members of the department (mostly professors or lecturers) if plagiarism is suspected. If the suspicion is confirmed: proceed as described in the previous point. Related links Avoid plagiarism by knowing how to cite correctly Download Checklist correct citing (PDF, 63 KB) Preventing plagiarism – citing correctly: also in times of AI Prevention of plagiarism Scientifi
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c integrity Contact Plagiarism check Miklos Frank & Raymond Grenacher Footer Recommended links Conditions of Use, Fees Frequently asked questions Search Keyword or person Follow us Services Student portal Alumni association Staffnet Login Contact Phone +41 44 632 21 35 ETH Library Rämistrasse 101 8092 Zurich Show more Show less Departments D-ARCH Architecture D-BAUG Civil, Environmental and Geomatic Engineering D-BIOL Biology D-BSSE Biosystems Science and Engineering D-CHAB Chemistry and Applied Biosciences D-EAPS Earth and Planetary Sciences D-GESS Humanities, Social and Political Sciences D-HEST Health Sciences and Technology D-INFK Computer Science D-ITET Information Technology and Electr
Source 12 ↗
Original quotation
ical Engineering D-MATH Mathematics D-MATL Department of Materials D-MAVT Mechanical and Process Engineering D-MTEC Management, Technology and Economics D-PHYS Physics D-USYS Environmental Systems Science Table of contents and legal Sitemap Imprint Accessibility Statement Disclaimer & Copyright Data protection © 2026 Eidgenössische Technische Hochschule Zürich Chat x JavaScript has been disabled in your browser
ApertusOfficial recommendationConditions apply
Open web test platform (Try Apertus) and freely downloadable weights/data
Apertus · Access conditions
Researchers, developers, students, and organizations (open model / Try Apertus platform). Data: unknown Assessment: unknown
Open web test platform (Try Apertus) and freely downloadable weights/data
Free of charge (open source model weights and web platform)
Apertus · Official evidence
Source 1 ↗
Original quotation
AI Tools & Licenses | ETH Zurich Homepage Navigation Search Content Footer Contact Sitemap Header Services Student portal Alumni association Staffnet Contact Login Search Search en EN DE FR (TA) IT (TA) Departments ETH Zurich Select a department Departments D-ARCH: Architecture D-BAUG: Civil, Environmental and Geomatic Engineering D-BSSE: Biosystems Science and Engineering D-INFK: Computer Science D-ITET: Information Technology and Electrical Engineering D-MATL: Department of Materials D-MAVT: Mechanical and Process Engineering D-BIOL: Biology D-CHAB: Chemistry and Applied Biosciences D-MATH: Mathematics D-PHYS: Physics D-EAPS: Earth and Planetary Sciences D-HEST: Health Sciences and Technol
Source 2 ↗
Original quotation
ogy D-USYS: Environmental Systems Science D-MTEC: Management, Technology and Economics D-GESS: Humanities, Social and Political Sciences Language Selection en English Deutsch Français (TA) Italiano (TA) You are here Homepage ETH Zurich Education AI in Teaching and Learning AI Tools & Licenses AI Tools & Licenses This page provides an overview of common generative AI tools, a field that is constantly growing and changing. The use of Microsoft Copilot as well as Google Gemini and NotebookLM is currently recommended, as data-protected access is possible directly via an ETH account. The scope of application of AI goes far beyond the tools listed here. The ETH AI Center is working intensively on
Source 3 ↗
Original quotation
various application scenarios, including in the field of teaching, and is the central hub for artificial intelligence. Some possibilities of application in the field of teaching, which are currently being developed, are listed under projects . You can also find specific information on the direct use of these tools under Assistance for Teaching . Apertus (Image: EPFL, ETH Zurich, CSCS / Molinari Design) The language model external page Apertus was developed in collaboration between ETH Zurich, EPFL, and CSCS (Swiss National Supercomputing Center). It serves as a foundation on which developers and organizations can build future applications, such as chatbots, translation systems, and digital l
Source 4 ↗
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earning tools. The entire development process, including architecture, model weights, training data, and methods, is freely accessible and comprehensively documented. Initial impressions of the multilingual model can be gained via the test platform external page Try Apertus . Detailed information about the project can be found on the website of the external page Swiss AI Initiative . Recommended generative AI tools The page on AI-Tools at ETH Zurich provides an up-to-date overview of the growing landscape of various AI tools. The Gemini and NotebookLM offerings from Google, as well as Copilot from Microsoft, which are accessible via an ETH cloud subscription, are available to all ETH employe
Source 5 ↗
Original quotation
es and students via secure access. It is therefore recommended that these tools be used primarily for teaching purposes. Status, October 2025 The external page Microsoft Copilot Website (formerly Bing Chat) is a tool based on generative AI that can generate text and images and is available free of charge. The service can be accessed in a protected environment via a Microsoft 365 Cloud Subscription , which is provided by ETH Zürich. In addition to direct web access, Copilot is also integrated directly into the Edge browser and can also be used via your ETH account. An overview of the entire product range (including M365 Copilot and Github Copilot) is available on the website Microsoft Copilot
Source 6 ↗
Original quotation
from IT Services. The freely accessible version of Microsoft Copilot offers freely available text and image generation, the ‘ protected ’ status (with Microsoft ETH-account ), whereby personal data is not used as training data, a chat history of previously executed queries, the direct integration of an Internet search, links to further resources, uploading a document for specific questioning. The fee-based Pro/Business versions offer prioritised access, GPTs that can be configured for your own needs (‘chat bots’), the integration of Copilot into office and other Microsoft applications. The licence cost for Copilot for M365 is charged on a per-user, per-year basis. All details on the specifi
Source 7 ↗
Original quotation
c and technical information can be found at Microsoft Copilot , the offer overview page of Cloud Services at ETH Zurich. Status, October 2025 The offering external page Google Gemini (formerly Bard) is based on a Large Language Model (LLM) developed by Google itself. It can be used, among other things, to integrate image uploads and voice input to generate texts. ETH Zurich offers a Google Workspace Cloud Subscription that allows the service to be used free of charge and in a protected environment. As with Microsoft Copilot, data entered is not used to train the models. The free version of Google Gemini offers free text generation based on text, image or voice input, a protected status (with
Source 8 ↗
Original quotation
Google ETH account ), whereby personal data is not used by Google as training data, direct integration of an internet search, the chat history of previously executed queries. The advanced version, which is subject to a fee, offers prioritised access and more up-to-date models, direct integration of personal data storage. All the specific details about the ETH Google account in connection with Google Gemini and the associated options can be found at Google AI Tools from ETH Zurich's cloud services. Status, July 2025 The external page NotebookLM application from Google enables users to work and interact with their own resources. It is characterized by a wide range of possible uses. In additio
Source 9 ↗
Original quotation
n, a customized podcast can be created that provides alternative access to the content provided. Notebooks can be shared within ETH Zurich. This enables access to resources within groups or for students as part of learning units. As with Google Gemini, ETH Zurich offers access via the Google Workspace Cloud subscription . This guarantees the use of the service in a protected environment in which the data entered is not used for training the models. The free version of NotebookLM offers the ability to upload your own documents and link to websites, create summaries and interact with content, and generate podcasts. The paid Pro version offers expanded resource integration, access to newer mode
Source 10 ↗
Original quotation
ls, and advanced customisation options. Further information on the offerings can be found at Google AI Tools in the ETH Zurich IT knowledge database. Additional AI tools The following non-exhaustive list shows a selection of these tools that are currently well known or have proven to be particularly useful. Status, December 2024 OpenAI was the first player on the market with external page ChatGPT and was able to establish itself across the board very quickly. The further development of the Large Language Models (LLM), the refinement of the options for interacting with the model and the range of products on offer are constantly expanding. With the introduction of GPTs (custom GPTs, personal ‘
Source 11 ↗
Original quotation
chat bots’) in autumn 2023, it also became possible to enhance the outputs of generative AI with your own data and configure them to suit your own needs. This offer is subject to certain restrictions and in some cases is only possible via the paid Plus version. The freely accessible version of ChaptGPT offers freely available text generation, a chat history of previously executed queries ( note : data is stored on the OpenAI server). The Plus/Team versions, which are subject to a charge, offer prioritised access and more up-to-date models, image generation, GPTs (‘chat bots’) that can be configured for your own needs. A personal account must always be created to access ChatGPT. It is strongl
Source 12 ↗
Original quotation
y recommended to switch off the option "Improve the model for everyone" so that inserted texts and data are not used for training the model (see external page Data Controls FAQ von OpenAI). Status, December 2024 Anthropic, the company behind the product external page Claude.AI , has made a name for itself in recent months with its highly advanced Large Language Model (LLM). This product also allows users to upload images and integrate multiple documents (upload limit in the free version). The freely accessible version of Claude.AI offers freely available text generation based on text, upload of your own documents, a chat history of previously executed queries ( note : data is stored on the s
Source 13 ↗
Original quotation
erver). The chargeable Pro-/Team-version offers prioritised access and more up-to-date models, organisation of projects as well as document mangament. In order to access Claude.AI, a personal account must be created in any case. Anthropic guarantees that the data used for the interaction with the LLM will not be used to train their models (see Anthropic's external page Data Handling & Retention ). Below is a list of some AI tools that are currently also frequently used and supplement the tools above. The list does not claim to be exhaustive. external page Perplexity AI focusses on correct references to further resources. external page DeepSeek and external page Grok are other well known and
Source 14 ↗
Original quotation
often discussed GenAI tools. external page There's an AI for That offers a search engine for every conceivable AI tool. A number of AI-based tools have already become established, particularly in scientific work and literature research. A brief overview can be found here. Connected Papers is a literature research tool (premium version via the ETH Zurich account). Scopus AI and Scite , AI-powered research tools available at ETH Zurich. external page Open Knowledge Maps , an AI-based search engine for science. external page ResearchRabbit provides support in organising and searching for literature. Information security and artificial intelligence In order to make targeted but also responsible
Source 15 ↗
Original quotation
use of the possibilities offered by generative AI technologies while minimizing risks such as data protection violations and ethical conflicts, IT Services Information Security has published guidelines for the safe use of AI at ETH Zurich . The protection of sensitive and personal data is a top priority. In addition, it is important to always keep an eye on the critical review of content and compliance with legal frameworks. Footer Recommended links Media information Search Keyword or person Follow us Services Student portal Alumni association Staffnet Contact Login Departments D-ARCH Architecture D-BAUG Civil, Environmental and Geomatic Engineering D-BIOL Biology D-BSSE Biosystems Science a
Source 16 ↗
Original quotation
nd Engineering D-CHAB Chemistry and Applied Biosciences D-EAPS Earth and Planetary Sciences D-GESS Humanities, Social and Political Sciences D-HEST Health Sciences and Technology D-INFK Computer Science D-ITET Information Technology and Electrical Engineering D-MATH Mathematics D-MATL Department of Materials D-MAVT Mechanical and Process Engineering D-MTEC Management, Technology and Economics D-PHYS Physics D-USYS Environmental Systems Science Table of contents and legal Sitemap Imprint Accessibility Statement Disclaimer & Copyright Data protection © 2026 Eidgenössische Technische Hochschule Zürich JavaScript has been disabled in your browser
EthelUniversity-hosted serviceConditions apply
Internal ETH on-premise infrastructure
Ethel · Access conditions
Instructors and course participants in participating ETH courses (contact Gerd Kortemeyer). Data: unknown Assessment: unknown
Internal ETH on-premise infrastructure
unknown
Ethel · Official evidence
Source 1 ↗
Original quotation
AI Tools at ETH Zurich × Contact Deutsch Applications Current: AI Tools at ETH Zurich AI Tools at ETH Zurich This page is only available in English. Safe use of AI Before exploring the capabilities of these tools, follow our Information Security Guidelines to ensure compliance with ETH Zurich’s data protection and security standards. Review the official recommendations here . Users are responsible for using AI tools in an authorized and responsible manner. See Guide for Users of AI at ETH Zurich . Uploading strictly confidential data to external cloud services, including AI tools, is prohibited. The work mode of M365 Copilot without the web search option is approved for use with confidential
Source 2 ↗
Original quotation
data . The web search option is disabled in the work mode by default. M365 Copilot Chat and the web mode of M365 Copilot is approved for internal data . AI tools lacking a cloud assessment have not been released for use with ETH data. Processing confidential, strictly confidential, or protected personal data is not permitted. AI‑generated output must be reviewed before use. Data classification Information owners classify the information according to the risk-oriented approach as explained in RSETHZ 203.28 Appendix 1a Information is classified as “ strictly confidential ” if unauthorised access could damage the interests of ETH Zurich. It must not be stored on external cloud services and may
Source 3 ↗
Original quotation
only be shared with a specifically authorised group under strict security precautions. Information is classified as “ confidential ” if unauthorised access could significantly damage the interests of ETH Zurich. It must be limited to specific authorised individuals and securely stored. Information is classified as “ internal ” if unauthorised access could damage the interests of ETH Zurich. Such information is therefore generally intended solely for members of ETH Zurich. Unless explicitly stated otherwise, all data and information at ETH is considered “internal”. Information is considered public if it is authorized for publication by the responsible body. Classification recommendation: AI
Source 4 ↗
Original quotation
tools managed by IT Services The tools in this section are enabled and managed by ID CCR Cloud Service Center. Costs AI tools included in personal cloud subscriptions, such as Microsoft 365 and Google Workspace, are available free of charge. Any additional AI tools not included in these subscriptions are at the user’s own expense. Microsoft AI tools Tool Data residency & processing location Cloud assessment Access & license Copilot Free GLOBAL NO ASSESSMENTS No sign-ins M365 Copilot Chat CH/EU Approved for internal data ETH members | M365 subscription M365 Copilot CH/EU The work mode is approved for CONFIDENTIAL data when the web search option is turned off. In the work mode , web search is
Source 5 ↗
Original quotation
disabled by default. The web mode is approved for INTERNAL data. ETH employees | M365 subscription + M365 Copilot license Microsoft Copilot Studio CH/EU NO ASSESSMENTS ETH employees | M365 subscription + Copilot Studio license Azure Foundry Selected location NO ASSESSMENTS ETH employees | Azure subscription Enterprise Data Protection , i.e., data is not used in model training and not reviewed by human reviewers. A cloud assessment is in place. Google AI tools Prerequisite: Google Workspace subscription Google AI Tools have not yet been assessed by the CISO. Tool Data residency & processing location Access & License Gemini Chat EUROPE ETH members | Google Workspace subscription Google AI Pro
Source 6 ↗
Original quotation
for Education EUROPE ETH employees | Google Workspace subscription + Google AI Pro license Prerequisite Only employees with a Google Workspace subscription can order a Google AI Pro license . NotebookLM GLOBAL ETH members | Google Workspace subscription Google AI Studio GLOBAL ETH members | Google Workspace subscription Restricted access ETH members with a Google Workspace subscription can request to participate the Google AI Studio Pilot by contacting servicedesk@id.ethz.ch Conversational Agents Selected location ETH members | Google Workspace subscription + Google Project Google Vertex AI Selected location ETH employees | Google Workspace subscription + Google Project Enterprise Data Prote
Source 7 ↗
Original quotation
ction , i.e., data is not used in model training and not reviewed by human reviewers. AI tools provided by ETH Library AI-powered tools and services by the ETH Library Unsupported tools The tools in this section are not managed by ID CCR Cloud Service Center. As far as we know, NO cloud assessments are in place. The use of these tools are on user's own responsibility. Tool Data location OpenAI ChatGPT US DeepSeek CHINA Grok US Perplexity Focuses on search engine and text generation providing accurate results with references US Claude A helpful, honest, and harmless assistant relying on the training data until 04/2024. No search function US SwissAI Apertus GLOBAL Informaniak Euria CH CamoCopy
Source 8 ↗
Original quotation
GDPR-compliant AI tools EU Custom GPT Data Analyst for complex data analysis and visualization US/EU/CH Coding assistance GitHub copilot US/EU Cursor AI US Google Antigravity US/EU/CH On-prem AI tools Tool Data location Contact Ethel CH Gerd Kortemeyer, Rectorate and AI Center, ETH Zurich, kgerd@ethz.ch Guides Safe use of AI Guidelines in specific areas × Copyright © 2026 Informatikdienste der ETH Zürich • Powered by Scroll Sites and Atlassian Confluence
Microsoft Copilot Free (Web)Not endorsed by the universityNot recommended
No sign-in
Microsoft Copilot Free (Web) · Access conditions
Public / unauthenticated users. Data: Public data only; strictly forbidden for any ETH data Assessment: unknown (unsupported external tool; not recommended for academic work; subject to course rules)
No sign-in
Free
Microsoft Copilot Free (Web) · Official evidence
Source 1 ↗
Original quotation
The service can be accessed in a protected environment via a Microsoft 365 Cloud Subscription , which is provided by ETH Zürich.
Source 2 ↗
Original quotation
The work mode of M365 Copilot without the web search option is approved for use with confidential data . The web search option is disabled in the work mode by default. M365 Copilot Chat and the web mode of M365 Copilot is approved for internal data .
Source 3 ↗
Original quotation
Uploading strictly confidential data to external cloud services, including AI tools, is prohibited. The work mode of M365 Copilot without the web search option is approved for use with confidential data . The web search option is disabled in the work mode by default. M365 Copilot Chat and the web mode of M365 Copilot is approved for internal data . AI tools lacking a cloud assessment have not been released for use with ETH data. Processing confidential, strictly confidential, or protected personal data is not permitted.
Source 4 ↗
Original quotation
Information is classified as “ strictly confidential ” if unauthorised access could damage the interests of ETH Zurich. It must not be stored on external cloud services and may only be shared with a specifically authorised group under strict security precautions. Information is classified as “ confidential ” if unauthorised access could significantly damage the interests of ETH Zurich. It must be limited to specific authorised individuals and securely stored.
Source 5 ↗
Original quotation
Information is classified as “ internal ” if unauthorised access could damage the interests of ETH Zurich. Such information is therefore generally intended solely for members of ETH Zurich. Unless explicitly stated otherwise, all data and information at ETH is considered “internal”.
Source 6 ↗
Original quotation
How Can I Use Microsoft Copilot? × Contact Deutsch Microsoft 365 Manuals and Documentation Guides - Copilot Current: How Can I Use Microsoft Copilot? How Can I Use Microsoft Copilot? This page is only available in English. The Enterprise Plan for Microsoft 365 Copilot has the two following plans: Microsoft 365 Copilot Chat (with Enterprise Protection) available to all ETH users with a Microsoft 365 Subscription Microsoft 365 Copilot (available only for ETH employees) requires a basic license ( Microsoft 365 A5 for faculty ) plus an add-on license that can be acquired through the IT-Shop . Further detailed information can be found here: Microsoft Copilot Manual Navigate to https://copilot.mic
Source 7 ↗
Original quotation
rosoft.com/ Sign in with your ETH Account (username@ ethz.ch ) and credentials. After a successful login, you can use Microsoft Copilot. Getting started with Copilot on Windows - Microsoft Support × Copyright © 2026 Informatikdienste der ETH Zürich • Powered by Scroll Sites and Atlassian Confluence

Record updatesLast 90 days · Recorded updates: 2

Updates to this site's reviewed record, not confirmation that the university changed its policy.

2026-10-27Page update
Other records · Page update
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2026-10-14Record addition · Site correction
Academic integrity · Teaching · 4 more topics · Records involved: 15 (11 corrected / adjusted · 4 added)
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Reviewed claims

15

Official sources

10 official URLs; 10 source attributions and their captured versions retained.

AI Tools & Licenses | ETH Zurich

ethz.ch

University official source

Hash and captured version

AI Tools & Licenses | ETH Zurich · 2026-10-12T06:11:27.987897Z

Representation unspecified in this historical record; do not assume an original-file hash.

0a7517b303b91ff263accfe492e8941ddfda122b172c5f465392b2bebb5afb1d

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

ETH IT Services: Google Gemini & Google AI Pro for Education

unlimited.ethz.ch

University official source

Hash and captured version

ETH IT Services: Google Gemini & Google AI Pro for Education · 2026-10-12T06:11:38.470205Z

Representation unspecified in this historical record; do not assume an original-file hash.

ecd7b331c95826fa240b55867a20b122de6b2b43bcbb61bbe9152a1e9e2422d9

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

ETH IT Services: AI Tools at ETH Zurich & Security/Data Classification

unlimited.ethz.ch

University official source

Hash and captured version

ETH IT Services: AI Tools at ETH Zurich & Security/Data Classification · 2026-10-12T06:11:37.020618Z

Representation unspecified in this historical record; do not assume an original-file hash.

36be2d664bee7d73dc98b2a88fe13b98ea4a029c161a67569491550deb6e402d

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

AI in Teaching and Learning — ETH Zurich

ethz.ch

University official source

Hash and captured version

AI in Teaching and Learning — ETH Zurich · 2026-10-12T06:11:25.974620Z

Representation unspecified in this historical record; do not assume an original-file hash.

05e768573acf7a8f060bb9736d5648b54b290410bc6dcf16621d24d2959c970b

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Generative AI in Teaching and Learning - Guidelines (December 2024)

ethz.ch

University official source

Hash and captured version

Generative AI in Teaching and Learning - Guidelines (December 2024) · 2026-10-12T06:11:24.710720Z

Representation unspecified in this historical record; do not assume an original-file hash.

b883ba3727ad5e0f8af3d12a1846e3a6ecdab325e9ab95b75f80422463cc66ca

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

ETH Library: Plagiarism and Generative Artificial Intelligence

library.ethz.ch

University official source

Hash and captured version

ETH Library: Plagiarism and Generative Artificial Intelligence · 2026-10-12T06:11:33.023336Z

Representation unspecified in this historical record; do not assume an original-file hash.

79bad72c13cb4c2710053173b3ed9ce7ca1211954827ca5aa11aed36446c3c02

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Academic Integrity — AI in Education

ethz.ch

University official source

Hash and captured version

Academic Integrity — AI in Education · 2026-10-12T06:11:26.636240Z

Representation unspecified in this historical record; do not assume an original-file hash.

7cea3253df7b975f75dc10a21d31010df7046af69f82016d9ebd58656a8eeebc

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

ETH Zurich Declaration of Originality (Bachelor & Master)

ethz.ch

University official source

Hash and captured version

ETH Zurich Declaration of Originality (Bachelor & Master) · 2026-10-12T06:11:28.941491Z

Representation unspecified in this historical record; do not assume an original-file hash.

d3a3ed4457d6c6f5a7dea2d2e084ff201b1f63d8d56af61927e536cb5897f23a

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

ETH Zurich Doctoral Examination Registration & Authorship Declaration

ethz.ch

University official source

Hash and captured version

ETH Zurich Doctoral Examination Registration & Authorship Declaration · 2026-10-12T06:11:31.841193Z

Representation unspecified in this historical record; do not assume an original-file hash.

2fc181ae19d4630b43464d380b8aa66da7baf4df996ef3b20b3e2ee8db373937

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

ETH Library: Plagiarism Check & Turnitin Originality

library.ethz.ch

University official source

Hash and captured version

ETH Library: Plagiarism Check & Turnitin Originality · 2026-10-12T06:11:34.938479Z

Representation unspecified in this historical record; do not assume an original-file hash.

fe42a443c6f65d498f8cd583c4947e8ca5354d1cf5a292e6fd721c9ecd20a0e3

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Record information, JSON & citation

Review layers: claim review applies to the claims only. Analysis is a separate machine-generated summary awaiting review. Coverage scores do not establish complete policy knowledge.

Claim review state: agent_reviewed
Analysis review state: machine_candidate
Record revision: v6-audit-fix-20261014
Dataset release: public-release-20260924-002
Correction published: 2026-10-14T02:23:21.633198Z
Student snapshot: Not published

Current reviewed JSON · Historical baseline

Published scoped record correction; current JSON and MCP use the same reviewed record, while the previous baseline is retained in history. Institution-wide audit remains PARTIAL.

Public student snapshot endpoint returns HTTP 404 (Not Found). Local 6-dimension candidate draft prepared in outputs/student-topics.json but not a published strong student snapshot.
Google AI tools (Gemini Chat, NotebookLM, Google AI Pro) have not completed CISO cloud assessment (status OPEN). Unassessed tools are not released for ETH confidential, strictly confidential, or protected personal data.
Turnitin Originality access is restricted to professors and lecturers, but fee structure (free/central vs departmental) is not stated on official page.
Disciplinary appeal stages, legal deadlines, and administrative court review procedures are governed by general Swiss administrative law and ETH regulations, but full statute texts were not crawled.
Explicit disability adjustment or assistive technology exceptions for generative AI are not detailed in current teaching guidelines.

Current reviewed JSON

Questions students ask

Questions students ask

Can I use AI for my coursework?

ETH Zurich advocates a proactive and responsible approach to generative AI in coursework. Students remain fully responsible for the content of any work they submit. Generative AI may serve a supplementary role (such as brainstorming, structuring, or coding assistance), but must never replace personal effort. Lecturers hold authority to determine whether and how generative AI may be used in their courses.

View evidence →

Do I need to disclose AI use?

ETH Zurich's declaration of originality provides two options: confirming that no generative AI was used, or confirming that authorised generative AI was used and its disclosure agreed with the supervisor. Bachelor's and Master's theses require a signed declaration of originality, while requirements for other written assessments depend on the applicable academic instructions. Doctoral candidates declare independent authorship through the doctoral examination registration process. The permitted use, disclosure format and any exceptions must follow the relevant supervisor and unit requirements. ETH Zurich's teaching guidelines instruct students to be transparent about their use of generative AI and to identify which tools contributed to which parts of their work, in accordance with applicable lecturer instructions and citation conventions. For scientific writing and theses, students should agree in advance with their supervisors on authorised AI use and disclosure requirements. ETH Library guidance recognises an exception where a supervisor has expressly agreed that particular AI use need not be separately declared. In the absence of such an agreement, undeclared use may constitute a breach of academic integrity.

View evidence →

Can I upload sensitive data?

Uploading strictly confidential information to external cloud AI services is prohibited. Confidential information may only be processed in specifically evaluated configurations (such as M365 Copilot Work mode without web search). M365 Copilot Chat is approved for internal data. Google AI tools have not yet been assessed by the CISO (assessment OPEN) and are not released for ETH confidential, strictly confidential, or protected personal data. Copyright and privacy must be respected at all times.

View evidence →

Which tools can I access?

ETH Zurich recommends Microsoft Copilot, Google Gemini, and Google NotebookLM for teaching purposes. Base chat versions are included in institutional Microsoft 365 and Google Workspace subscriptions free of charge for students and employees, offering enterprise data protection where user data is not used for model training. Google tools have not yet completed CISO assessment (OPEN), so product availability does not constitute data classification approval. Tool availability does not equal assessment permission; instructors decide assessment permissions.

View evidence →

What are the examination rules?

Performance assessments must be conducted independently and personally by the student. The use of unauthorized aids, including generative AI tools not permitted by the examiner, constitutes academic misconduct subject to disciplinary action under the ETH Zurich Ordinance on Disciplinary Measures.

View evidence →

What rules apply to research and publication?

Researchers and students are fully responsible for the integrity of their scientific work and must verify AI-generated output, references, and facts. Generative AI tools cannot be listed as authors or cited as authoritative sources. Theses require signed originality declarations; doctoral candidates declare independent authorship upon registration for the doctoral examination. Researchers must comply with applicable funder (e.g. SNSF) and publisher guidelines.

View evidence →

What counts as academic misconduct?

ETH Library provides Turnitin Originality to eligible professors and lecturers for text-similarity checking, subject to data classification and responsible selective-use guidance. Only public or internal documents may be uploaded. Similarity screening is distinct from AI-authorship detection; ETH Zurich warns that technical detection of AI-generated output is unreliable and should not be treated as conclusive evidence. Violations of GenAI guidelines such as use of unauthorised aids or non-disclosure of their use are subject to disciplinary action under existing performance assessment rules and the declaration of originality.

View evidence →

What guidance applies to teaching?

Lecturers are encouraged to adapt teaching and assessment strategies to GenAI, discuss acceptable use with students, clearly communicate course permissions, and act as role models by making GenAI use visible in teaching materials and assessment workflows, ensuring compliance with data protection regulations.

View evidence →

What security and procurement requirements apply?

ID CCR Cloud Service Center manages institutional cloud AI tools. Tools lacking cloud assessments (including third-party tools such as commercial ChatGPT, Claude, DeepSeek, Perplexity, Grok) are used on the user's own responsibility and must never process confidential, strictly confidential, or protected personal data. Institutional add-on software (such as Google AI Pro or M365 Copilot) requires employee license acquisition via the IT-Shop; specific fee and funding arrangements depend on applicable organizational procedures.

View evidence →

When was this record checked?

Record checked: 2026-10-12

Record version →

Which official sources support these rules?

Official source →

Where can I read the full evidence?

15 · Full policy evidence

Full policy evidence →