Zürich, Switzerland Zuletzt geprüft Oct 12, 2026

ETH Zurich (Swiss Federal Institute of Technology Zurich)

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Darf ich KI für meine Studienleistungen nutzen?Vorbehaltlich der geltenden Bedingungen Muss ich die Nutzung von KI offenlegen?Anforderungen an die Offenlegung und Ausnahmen Darf ich sensible Daten hochladen?Bereichsspezifische Einschränkungen Auf welche Tools kann ich zugreifen?Vorbehaltlich der geltenden Bedingungen

Verwendung in ChatGPT ↗Vor dem AbsendenHinweise und Vorsichtsmaßnahmen Aktualisierungen der Datensätze ↓

Aktuellen Eintrag nach Thema erkunden

Coursework

Vorbehaltlich der geltenden Bedingungen

Die ETH Zürich befürwortet einen proaktiven und verantwortungsvollen Umgang mit generativer KI im Studium. Studierende bleiben für den Inhalt aller von ihnen eingereichten Arbeiten voll verantwortlich. Generative KI kann eine ergänzende Rolle einnehmen (wie Brainstorming, Strukturierung oder Programmierhilfe), darf jedoch niemals die persönliche Leistung ersetzen. Dozierende sind befugt zu bestimmen, ob und wie generative KI in ihren Lehrveranstaltungen eingesetzt werden darf.

Offizielle Quelle ↗

Prüfungen

Bereichsspezifische Einschränkungen

Leistungsprüfungen müssen selbstständig und persönlich von den Studierenden erbracht werden. Die Verwendung nicht zugelassener Hilfsmittel, einschließlich generativer KI-Werkzeuge, die der Prüfer nicht erlaubt hat, gilt als wissenschaftliches Fehlverhalten und unterliegt Disziplinarmaßnahmen nach der ETH-Zürich-Verordnung über Disziplinarmassnahmen.

Offizielle Quelle ↗

Offenlegung

Anforderungen an die Offenlegung und Ausnahmen

Die Selbstständigkeitserklärung der ETH Zürich sieht zwei Optionen vor: die Bestätigung, dass keine generative KI verwendet wurde, oder die Bestätigung, dass genehmigte generative KI verwendet wurde und deren Offenlegung mit der betreuenden Person vereinbart wurde. Bachelor- und Masterarbeiten erfordern eine unterschriebene Selbstständigkeitserklärung, während sich die Anforderungen an andere schriftliche Leistungsnachweise nach den jeweils geltenden Studienvorschriften richten. Doktorierende erklären die selbstständige Verfassung im Rahmen des Anmeldeverfahrens zur Promotion. Die zulässige Nutzung, das Offenlegungsformat und etwaige Ausnahmen müssen den Vorgaben der jeweiligen betreuenden Person und Einheit folgen. Die Lehrleitlinien der ETH Zürich weisen Studierende an, ihre Nutzung generativer KI transparent zu machen und anzugeben, welche Tools zu welchen Teilen ihrer Arbeit beigetragen haben, gemäß den geltenden Vorgaben der Lehrenden und den Zitierkonventionen. Bei wissenschaftlichen Texten und Abschlussarbeiten sollten Studierende den zugelassenen KI-Einsatz und die Offenlegungsanforderungen vorab mit ihren betreuenden Personen abstimmen. Die Hinweise der ETH-Bibliothek erkennen eine Ausnahme an, wenn eine betreuende Person ausdrücklich zugestimmt hat, dass bestimmte KI-Nutzung nicht gesondert angegeben werden muss. Ohne eine solche Vereinbarung kann nicht angegebene Nutzung einen Verstoß gegen die wissenschaftliche Integrität darstellen.

Offizielle Quelle ↗

Datenschutz und sensible Daten

Bereichsspezifische Einschränkungen

Das Hochladen von streng vertraulichen Informationen in externe Cloud-KI-Dienste ist untersagt. Vertrauliche Informationen dürfen nur in speziell geprüften Konfigurationen verarbeitet werden (wie dem M365 Copilot Work-Modus ohne Websuche). M365 Copilot Chat ist für interne Daten freigegeben. Google-KI-Tools wurden vom CISO noch nicht bewertet (Bewertung OPEN) und sind für vertrauliche, streng vertrauliche oder geschützte personenbezogene Daten der ETH nicht freigegeben. Urheberrecht und Datenschutz müssen stets eingehalten werden.

Offizielle Quelle ↗

Von der Institution bereitgestellte Tools

Vorbehaltlich der geltenden Bedingungen

Die ETH Zürich empfiehlt für Lehrzwecke Microsoft Copilot, Google Gemini und Google NotebookLM. Die Basis-Chatversionen sind in den institutionellen Abonnements von Microsoft 365 und Google Workspace für Studierende und Mitarbeitende kostenlos enthalten. Sie bieten Datenschutz auf Unternehmensniveau, bei dem Nutzerdaten nicht für das Training von Modellen verwendet werden. Die Google-Tools haben die CISO-Bewertung noch nicht abgeschlossen (OPEN). Daher ist die Verfügbarkeit eines Produkts keine Genehmigung zur Datenklassifizierung. Die Verfügbarkeit eines Tools bedeutet keine Erlaubnis für Prüfungsleistungen; Lehrende entscheiden über die Prüfungsregeln.

Offizielle Quelle ↗

Forschung & Publikation

Vorbehaltlich der geltenden Bedingungen

Forschende und Studierende tragen die volle Verantwortung für die Integrität ihrer wissenschaftlichen Arbeit und müssen KI-generierte Ausgaben, Referenzen und Fakten überprüfen. Generative KI-Werkzeuge können nicht als Autoren aufgeführt oder als verbindliche Quellen zitiert werden. Abschlussarbeiten erfordern unterschriebene Eigenständigkeitserklärungen; Doktorierende erklären bei der Anmeldung zur Doktorprüfung die selbstständige Urheberschaft. Forschende müssen die geltenden Richtlinien von Förderorganisationen (z. B. SNF) und Verlagen einhalten.

Offizielle Quelle ↗

Weitere geprüfte Eintragsthemen

Akademische Integrität

Bereichsspezifische Einschränkungen

Die ETH-Bibliothek stellt berechtigten Professorinnen, Professoren und Dozierenden Turnitin Originality zur Textähnlichkeitsprüfung unter Berücksichtigung der Datenklassifizierung und Leitlinien zur verantwortungsvollen, selektiven Nutzung zur Verfügung. Es dürfen nur öffentliche oder interne Dokumente hochgeladen werden. Die Ähnlichkeitsprüfung unterscheidet sich von der Erkennung von KI-Urheberschaft; die ETH Zürich warnt davor, dass die technische Erkennung von KI-generierten Ergebnissen unzuverlässig ist und nicht als schlüssiger Beweis behandelt werden sollte. Verstöße gegen GenAI-Leitlinien wie die Verwendung nicht autorisierter Hilfsmittel oder das Verschweigen ihrer Verwendung unterliegen disziplinarischen Maßnahmen nach den bestehenden Leistungskontrollverordnungen und der Eigenständigkeitserklärung.

Offizielle Quelle ↗

Hinweise zur Lehre

Leitfaden mit aufgabenspezifischen Anforderungen

Lehrende werden ermutigt, Lehr- und Bewertungsstrategien an generative KI anzupassen, die zulässige Nutzung mit Studierenden zu besprechen, Kurserlaubnisse klar zu kommunizieren und als Vorbilder zu handeln, indem sie die Nutzung generativer KI in Lehrmaterialien und Bewertungsabläufen sichtbar machen, und dabei die Einhaltung der Datenschutzvorschriften sicherstellen.

Offizielle Quelle ↗

Sicherheit und Beschaffung

Bereichsspezifische Einschränkungen

Das ID CCR Cloud Service Center verwaltet institutionelle Cloud-KI-Werkzeuge. Werkzeuge ohne Cloud-Bewertungen (einschließlich Werkzeugen Dritter wie das kommerzielle ChatGPT, Claude, DeepSeek, Perplexity, Grok) werden auf eigene Verantwortung der Nutzenden verwendet und dürfen niemals vertrauliche, streng vertrauliche oder geschützte personenbezogene Daten verarbeiten. Institutionelle Zusatzsoftware (wie Google AI Pro oder M365 Copilot) erfordert den Erwerb von Mitarbeiterlizenzen über den IT-Shop; spezifische Kosten- und Finanzierungsregelungen hängen von den geltenden organisatorischen Verfahren ab.

Offizielle Quelle ↗

Gebote

Nicht

Lassen Sie nicht zu, dass KI Ihre eigene Prüfungsleistung ersetzt.
Anforderung in diesem Geltungsbereich
Lassen Sie nicht zu, dass KI Ihre eigene Prüfungsleistung ersetzt.
Geltungsbereich
Jede zitierte Regel ist im Hinblick auf Kurs, akademische Einheit, Tätigkeit und Ausnahmen zu lesen. Hinweise auf der Website begründen keine Pflicht der Universität.
Studierende sind für den Inhalt der von ihnen eingereichten Arbeiten verantwortlich. Leistungsnachweise müssen selbstständig und persönlich erbracht werden. GenAI kann eine ergänzende Rolle übernehmen, darf aber die eigene Leistung der Studierenden nicht ersetzen.
Originalbelege und Geltungsbereich
Studierende sind für den Inhalt der von ihnen eingereichten Arbeiten verantwortlich. Leistungsnachweise müssen selbstständig und persönlich erbracht werden. GenAI kann eine ergänzende Rolle übernehmen, darf aber die eigene Leistung der Studierenden nicht ersetzen.
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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Offizielle Quelle der Universität ↗
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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Offizielle Quelle der Universität ↗
Geben Sie streng vertrauliche Informationen nicht in externe Cloud-KI ein.
Anforderung in diesem Geltungsbereich
Geben Sie streng vertrauliche Informationen nicht in externe Cloud-KI ein.
Geltungsbereich
Jede zitierte Regel ist im Hinblick auf Kurs, akademische Einheit, Tätigkeit und Ausnahmen zu lesen. Hinweise auf der Website begründen keine Pflicht der Universität.
Die ETH Zürich verbietet die Verarbeitung von streng vertraulichen Informationen in externen Cloud-KI-Diensten. Vertrauliche Informationen dürfen nur in Diensten und Konfigurationen verarbeitet werden, die ausdrücklich für diese Klassifizierung genehmigt sind. Die IT-Leitlinien der ETH unterscheiden zwischen dem Modus Microsoft 365 Copilot Work ohne Websuche, der für vertrauliche Daten zugelassen ist, und Copilot Chat sowie dem Webmodus, die für interne Daten zugelassen sind. Nicht geprüfte KI-Dienste dürfen nicht für vertrauliche ETH-Daten oder geschützte personenbezogene Daten verwendet werden.
Originalbelege und Geltungsbereich
Die ETH Zürich verbietet die Verarbeitung von streng vertraulichen Informationen in externen Cloud-KI-Diensten. Vertrauliche Informationen dürfen nur in Diensten und Konfigurationen verarbeitet werden, die ausdrücklich für diese Klassifizierung genehmigt sind. Die IT-Leitlinien der ETH unterscheiden zwischen dem Modus Microsoft 365 Copilot Work ohne Websuche, der für vertrauliche Daten zugelassen ist, und Copilot Chat sowie dem Webmodus, die für interne Daten zugelassen sind. Nicht geprüfte KI-Dienste dürfen nicht für vertrauliche ETH-Daten oder geschützte personenbezogene Daten verwendet werden.
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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Offizielle Quelle der Universität ↗
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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Offizielle Quelle der Universität ↗
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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Offizielle Quelle der Universität ↗
Betrachten Sie die Ähnlichkeitsprüfung nicht als verlässlichen Beweis für die KI-Urheberschaft.
Hinweise dieser Website
Betrachten Sie die Ähnlichkeitsprüfung nicht als verlässlichen Beweis für die KI-Urheberschaft.
Geltungsbereich
Jede zitierte Regel ist im Hinblick auf Kurs, akademische Einheit, Tätigkeit und Ausnahmen zu lesen. Hinweise auf der Website begründen keine Pflicht der Universität.
Die ETH-Bibliothek stellt berechtigten Professorinnen, Professoren und Dozierenden Turnitin Originality zur Textähnlichkeitsprüfung zur Verfügung, vorbehaltlich der Datenklassifizierung und der Leitlinien für einen verantwortungsvollen, selektiven Einsatz. Hochgeladen werden dürfen nur öffentliche oder interne Dokumente. Die Ähnlichkeitsprüfung ist von der Erkennung KI-generierter Texte zu unterscheiden; die ETH Zürich warnt, dass die technische Erkennung KI-generierter Inhalte unzuverlässig ist und nicht als eindeutiger Beweis gewertet werden sollte.
Originalbelege und Geltungsbereich
Die ETH-Bibliothek stellt berechtigten Professorinnen, Professoren und Dozierenden Turnitin Originality zur Textähnlichkeitsprüfung zur Verfügung, vorbehaltlich der Datenklassifizierung und der Leitlinien für einen verantwortungsvollen, selektiven Einsatz. Hochgeladen werden dürfen nur öffentliche oder interne Dokumente. Die Ähnlichkeitsprüfung ist von der Erkennung KI-generierter Texte zu unterscheiden; die ETH Zürich warnt, dass die technische Erkennung KI-generierter Inhalte unzuverlässig ist und nicht als eindeutiger Beweis gewertet werden sollte.
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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Offizielle Quelle der Universität ↗
Note the confidentiality level: Only documents classified as "public" or "internal" may be uploaded to Turnitin Originality for similarity checking.
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Offizielle Quelle der Universität ↗
Selective use only in cases of suspicion prevents a culture of mistrust.
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Offizielle Quelle der Universität ↗
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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Offizielle Quelle der Universität ↗

KI-Nutzung angezweifelt?Untersuchung, mögliche Folgen und Einspruch

KI-Werkzeuge und Zugang

Microsoft 365 Copilot Chat (Enterprise Data Protection)Institutioneller Zugang / LizenzEs gelten Bedingungen
Melden Sie sich mit dem ETH-Konto (benutzername@ethz.ch) über das M365-Abonnement an
Microsoft 365 Copilot Chat (Enterprise Data Protection) · Zugangsbedingungen
Alle Mitglieder der ETH (Studierende und Beschäftigte). Daten: Zugelassen für INTERNE Daten (für vertrauliche und streng vertrauliche Daten verboten). Leistungsbewertung: Auf der IT-Seite für Lehrzwecke empfohlen; Nutzung bei Studienleistungen und Leistungsbewertung vorbehaltlich der Genehmigung durch Dozierende.
Melden Sie sich mit dem ETH-Konto (benutzername@ethz.ch) über das M365-Abonnement an
Kostenlos (im M365-Abonnement enthalten)
Microsoft 365 Copilot Chat (Enterprise Data Protection) · Offizielle Belege
Quelle 1 ↗
Originalzitat
The service can be accessed in a protected environment via a Microsoft 365 Cloud Subscription , which is provided by ETH Zürich.
Quelle 2 ↗
Originalzitat
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 .
Quelle 3 ↗
Originalzitat
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.
Quelle 4 ↗
Originalzitat
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.
Quelle 5 ↗
Originalzitat
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”.
Quelle 6 ↗
Originalzitat
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
Quelle 7 ↗
Originalzitat
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)Institutioneller Zugang / LizenzEs gelten Bedingungen
ETH-Google-Konto über Google Workspace Cloud Subscription
Google Gemini Chat (Base Offering) · Zugangsbedingungen
Alle Angehörigen der ETH (Studierende und Mitarbeitende). Daten: Vom CISO nicht bewertet (OPEN). Tools ohne Cloud-Bewertung sind nicht für die Nutzung mit ETH-Daten freigegeben; die Verarbeitung vertraulicher, streng vertraulicher oder geschützter personenbezogener Daten ist nicht gestattet. Der Zugriff ist im institutionellen Google Workspace-Abonnement enthalten, stellt jedoch keine Genehmigung der Datensicherheit dar. Bewertung: Auf der IT-Seite für Lehrzwecke empfohlen; die Nutzung in Studienleistungen und Prüfungen unterliegt den Regeln der jeweiligen Lehrveranstaltung/Dozierenden
ETH-Google-Konto über Google Workspace Cloud Subscription
Kostenlos (durch institutionelles Abonnement abgedeckt)
Google Gemini Chat (Base Offering) · Offizielle Belege
Quelle 1 ↗
Originalzitat
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.
Quelle 2 ↗
Originalzitat
The conversation history retention period is 18 months. In addition, Gemini Chat History can be individually deleted.
Quelle 3 ↗
Originalzitat
Google AI Tools have not yet been assessed by the CISO.
Quelle 4 ↗
Originalzitat
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.
Quelle 5 ↗
Originalzitat
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.
Quelle 6 ↗
Originalzitat
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”.
Quelle 7 ↗
Originalzitat
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
Quelle 8 ↗
Originalzitat
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
Quelle 9 ↗
Originalzitat
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
Quelle 10 ↗
Originalzitat
ch • Powered by Scroll Sites and Atlassian Confluence
Google NotebookLM (Workspace Subscription)Institutioneller Zugang / LizenzEs gelten Bedingungen
Mit dem ETH-Google-Konto über das Google Workspace Cloud-Abonnement anmelden.
Google NotebookLM (Workspace Subscription) · Zugangsbedingungen
Alle Mitglieder der ETH (Studierende und Beschäftigte). Daten: nicht durch den CISO bewertet (OPEN). Tools ohne Cloud-Bewertung wurden nicht für die Nutzung mit ETH-Daten freigegeben; die Verarbeitung vertraulicher, streng vertraulicher oder geschützter personenbezogener Daten ist nicht zulässig. Der Zugang ist im institutionellen Google-Workspace-Abonnement enthalten, begründet jedoch keine Datensicherheitsfreigabe. Bewertung: Auf der IT-Seite für Lehrzwecke empfohlen; die Nutzung für Studienarbeiten und Prüfungen unterliegt der Genehmigung durch Lehrende.
Mit dem ETH-Google-Konto über das Google Workspace Cloud-Abonnement anmelden.
Kostenlos (im institutionellen Google-Workspace-Abonnement enthalten)
Google NotebookLM (Workspace Subscription) · Offizielle Belege
Quelle 1 ↗
Originalzitat
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.
Quelle 2 ↗
Originalzitat
Google AI Tools have not yet been assessed by the CISO.
Quelle 3 ↗
Originalzitat
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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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
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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)Institutioneller Zugang / LizenzEs gelten Bedingungen
ETH-Konto für Mitarbeitende mit M365-Abonnement und Zusatzlizenz, erworben über den IT-Shop (in IT-Anleitungen erwähnte Basislizenz M365 A5 für Lehrende; Einzelheiten zur Lizenzzuweisung unbekannt)
Microsoft 365 Copilot (Work Mode - Enterprise) · Zugangsbedingungen
Nur für ETH-Beschäftigte. Daten: Genehmigt für CONFIDENTIAL-Daten, wenn die Websuche deaktiviert ist (verboten für streng vertrauliche Daten) Leistungsüberprüfung: unbekannt (die IT-Seite definiert den Mitarbeiterzugang und Regeln für vertrauliche Daten; legt keine Genehmigungen für Lehre/Prüfungen fest; unterliegt den geltenden Kursregeln)
ETH-Konto für Mitarbeitende mit M365-Abonnement und Zusatzlizenz, erworben über den IT-Shop (in IT-Anleitungen erwähnte Basislizenz M365 A5 für Lehrende; Einzelheiten zur Lizenzzuweisung unbekannt)
Gebührenpflichtig (die offizielle Seite verweist auf eine Zusatzlizenz über den IT-Shop; genaue Gebührenhöhe und Abrechnungszeitraum unbekannt)
Microsoft 365 Copilot (Work Mode - Enterprise) · Offizielle Belege
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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 .
Quelle 3 ↗
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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
Microsoft 365 Copilot (Web Mode)Institutioneller Zugang / LizenzEs gelten Bedingungen
M365 Copilot-Lizenz mit aktivierter Umschaltung für die Websuche
Microsoft 365 Copilot (Web Mode) · Zugangsbedingungen
ETH-Beschäftigte mit Lizenz für M365 Copilot. Daten: nur für INTERNE Daten freigegeben (Websuchanfragen verlassen die Mandantengrenze). Leistungsbewertung: unbekannt (unterliegt den geltenden Kursregeln).
M365 Copilot-Lizenz mit aktivierter Umschaltung für die Websuche
In der M365 Copilot-Mitarbeitendenlizenz enthalten (spezifische Zusatzgebühr unbekannt)
Microsoft 365 Copilot (Web Mode) · Offizielle Belege
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Originalzitat
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 .
Quelle 3 ↗
Originalzitat
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.
Quelle 4 ↗
Originalzitat
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 AI Pro for Education (Add-on)Institutioneller Zugang / LizenzEs gelten Bedingungen
ETH-Google-Konto mit Google AI Pro-Lizenz (bestellt über den IT-Shop; Beschäftigte mit Google Workspace-Abonnement; spezifische Genehmigungs-/Abrechnungsanforderungen unbekannt)
Google AI Pro for Education (Add-on) · Zugangsbedingungen
Nur ETH-Mitarbeitende (Lehrende & Personal mit Google Workspace-Abonnement). Daten: Vom CISO nicht bewertet (OPEN). Nicht für die Nutzung mit ETH-Daten freigegeben; die Verarbeitung vertraulicher, streng vertraulicher oder geschützter personenbezogener Daten ist nicht gestattet. Bewertung: unbekannt (IT-Seite spezifiziert nur Mitarbeiterzugang und Lizenzierung; definiert keine Lehr- oder Prüfungserlaubnis; vorbehaltlich geltender Vorgesetzten- und Kursregeln)
ETH-Google-Konto mit Google AI Pro-Lizenz (bestellt über den IT-Shop; Beschäftigte mit Google Workspace-Abonnement; spezifische Genehmigungs-/Abrechnungsanforderungen unbekannt)
Gebührenpflichtig (die offizielle Dokumentation vermerkt „gebührenpflichtig“; genaue Abrechnungsperiode und Kostenstellenzuordnung unbekannt)
Google AI Pro for Education (Add-on) · Offizielle Belege
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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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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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Originalzitat
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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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 AI Studio PilotInstitutioneller Zugang / LizenzEs gelten Bedingungen
Teilnahme am Pilotprojekt über den IT Service Desk anfragen (servicedesk@id.ethz.ch)
Google AI Studio Pilot · Zugangsbedingungen
ETH-Angehörige mit Google Workspace-Abonnement (eingeschränktes Pilotprojekt). Daten: Nur Pilotzugang; ungeprüft durch CISO (OPEN); nicht freigegeben für vertrauliche, streng vertrauliche oder geschützte personenbezogene Daten der ETH. Bewertung: unbekannt (IT-Seite gibt nur Account- und Pilot-Berechtigung an; gibt weder Genehmigung noch Verbot für Studien- oder Prüfungsleistungen an; vorbehaltlich geltender Kursregeln)
Teilnahme am Pilotprojekt über den IT Service Desk anfragen (servicedesk@id.ethz.ch)
unbekannt
Google AI Studio Pilot · Offizielle Belege
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Originalzitat
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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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.
Quelle 5 ↗
Originalzitat
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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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 Vertex AI (Cloud Project)Institutioneller Zugang / LizenzEs gelten Bedingungen
Abonnement für das Google Cloud Project, verwaltet über das ID CCR Cloud Service Center
Google Vertex AI (Cloud Project) · Zugangsbedingungen
ETH-Mitarbeitende mit einem Google-Workspace-Abonnement und einem Google-Cloud-Projekt. Daten: Vor der Verarbeitung projektbezogener Daten ist eine projektspezifische Cloud-Bewertung erforderlich; nicht bewertete Cloud-Dienste dürfen keine vertraulichen oder streng vertraulichen Daten der ETH verarbeiten. Bewertung: unbekannt (die IT-Seite nennt nur den Zugang für Mitarbeitende und das Google-Projekt-Abonnement; sie legt keine ausschließliche Nutzung und keine Erlaubnisse für Lehre oder Leistungsbewertung fest; es gelten die jeweiligen Kursregeln).
Abonnement für das Google Cloud Project, verwaltet über das ID CCR Cloud Service Center
unbekannt
Google Vertex AI (Cloud Project) · Offizielle Belege
Quelle 1 ↗
Originalzitat
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.
Quelle 2 ↗
Originalzitat
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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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.
Quelle 5 ↗
Originalzitat
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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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
Turnitin OriginalityOffizielle EmpfehlungEs gelten Bedingungen
Zugang über das von der ETH-Bibliothek verwaltete ETH-Konto (turnitin.ethz.ch)
Turnitin Originality · Zugangsbedingungen
Nur Professorinnen, Professoren und Lehrbeauftragte (Studierende und Nicht-Lehrende haben keinen direkten Zugang). Daten: Nur öffentliche und interne Dokumente (vertrauliche oder streng vertrauliche Dokumente verboten). Prüfungsleistung: Selektive Überprüfung bei Verdacht empfohlen; menschliche Überprüfung bei falsch-positiven Ergebnissen erforderlich; pauschales Verbot durch das Rektorat auf der offiziellen Seite nicht belegt
Zugang über das von der ETH-Bibliothek verwaltete ETH-Konto (turnitin.ethz.ch)
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Turnitin Originality · Offizielle Belege
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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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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
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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
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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
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. 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
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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
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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
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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
ApertusOffizielle EmpfehlungEs gelten Bedingungen
Offene Web-Testplattform (Apertus ausprobieren) und frei herunterladbare Gewichte und Daten
Apertus · Zugangsbedingungen
Forschende, Entwickelnde, Studierende und Organisationen (offenes Modell / Plattform Try Apertus). Daten: unbekannt. Bewertung: unbekannt.
Offene Web-Testplattform (Apertus ausprobieren) und frei herunterladbare Gewichte und Daten
Kostenlos (Open-Source-Modellgewichte und Webplattform)
Apertus · Offizielle Belege
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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
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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
EthelVon der Universität gehosteter DienstEs gelten Bedingungen
Interne On-Premise-Infrastruktur der ETH
Ethel · Zugangsbedingungen
Lehrende und Kursteilnehmende in teilnehmenden ETH-Kursen (Kontakt: Gerd Kortemeyer). Daten: unbekannt Bewertung: unbekannt
Interne On-Premise-Infrastruktur der ETH
unbekannt
Ethel · Offizielle Belege
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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
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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
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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
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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
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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
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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
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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
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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)Von der Universität nicht befürwortetNicht empfohlen
Keine Anmeldung
Microsoft Copilot Free (Web) · Zugangsbedingungen
Öffentliche bzw. nicht authentifizierte Nutzende. Daten: nur öffentliche Daten; für jegliche ETH-Daten strikt untersagt. Bewertung: unbekannt (nicht unterstütztes externes Tool; für wissenschaftliche Arbeiten nicht empfohlen; unterliegt den Kursregeln)
Keine Anmeldung
Kostenlos
Microsoft Copilot Free (Web) · Offizielle Belege
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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

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AI Tools & Licenses | ETH Zurich

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

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0a7517b303b91ff263accfe492e8941ddfda122b172c5f465392b2bebb5afb1d

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

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

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ecd7b331c95826fa240b55867a20b122de6b2b43bcbb61bbe9152a1e9e2422d9

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

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

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36be2d664bee7d73dc98b2a88fe13b98ea4a029c161a67569491550deb6e402d

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AI in Teaching and Learning — ETH Zurich

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

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05e768573acf7a8f060bb9736d5648b54b290410bc6dcf16621d24d2959c970b

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

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

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b883ba3727ad5e0f8af3d12a1846e3a6ecdab325e9ab95b75f80422463cc66ca

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ETH Library: Plagiarism and Generative Artificial Intelligence

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

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Academic Integrity — AI in Education

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

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7cea3253df7b975f75dc10a21d31010df7046af69f82016d9ebd58656a8eeebc

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ETH Zurich Declaration of Originality (Bachelor & Master)

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

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d3a3ed4457d6c6f5a7dea2d2e084ff201b1f63d8d56af61927e536cb5897f23a

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ETH Zurich Doctoral Examination Registration & Authorship Declaration

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

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ETH Library: Plagiarism Check & Turnitin Originality

library.ethz.ch

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

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Datensatzinformationen, JSON & Zitierung

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.

Der öffentliche Endpunkt für den Studierenden-Snapshot liefert HTTP 404 (nicht gefunden). Ein lokaler Kandidatenentwurf mit 6 Dimensionen wurde in outputs/student-topics.json erstellt, ist aber kein veröffentlichter, belastbarer Snapshot für Studierende.
Google-KI-Werkzeuge (Gemini Chat, NotebookLM, Google AI Pro) haben die Cloud-Bewertung durch den CISO noch nicht abgeschlossen (Status OFFEN). Nicht bewertete Werkzeuge sind nicht freigegeben für ETH-vertrauliche, streng vertrauliche oder geschützte personenbezogene Daten.
Der Zugang zu Turnitin Originality ist auf Professorinnen und Professoren sowie Dozierende beschränkt; die Gebührenstruktur (kostenlos bzw. zentral oder über die Fachbereiche) ist auf der offiziellen Seite nicht angegeben.
Disziplinarische Beschwerdeinstanzen, gesetzliche Fristen und Verfahren zur verwaltungsgerichtlichen Überprüfung richten sich nach dem allgemeinen Schweizer Verwaltungsrecht und den ETH-Vorschriften; die vollständigen Gesetzestexte wurden jedoch nicht gecrawlt.
Ausdrückliche Regelungen zum Nachteilsausgleich bei Behinderung oder Ausnahmen für unterstützende Technologien bei generativer KI sind in den aktuellen Lehrleitlinien nicht detailliert beschrieben.

Current reviewed JSON

Fragen, die Studierende stellen

Fragen, die Studierende stellen

Darf ich KI für meine Studienleistungen nutzen?

Die ETH Zürich befürwortet einen proaktiven und verantwortungsvollen Umgang mit generativer KI im Studium. Studierende bleiben für den Inhalt aller von ihnen eingereichten Arbeiten voll verantwortlich. Generative KI kann eine ergänzende Rolle einnehmen (wie Brainstorming, Strukturierung oder Programmierhilfe), darf jedoch niemals die persönliche Leistung ersetzen. Dozierende sind befugt zu bestimmen, ob und wie generative KI in ihren Lehrveranstaltungen eingesetzt werden darf.

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Muss ich die Nutzung von KI offenlegen?

Die Selbstständigkeitserklärung der ETH Zürich sieht zwei Optionen vor: die Bestätigung, dass keine generative KI verwendet wurde, oder die Bestätigung, dass genehmigte generative KI verwendet wurde und deren Offenlegung mit der betreuenden Person vereinbart wurde. Bachelor- und Masterarbeiten erfordern eine unterschriebene Selbstständigkeitserklärung, während sich die Anforderungen an andere schriftliche Leistungsnachweise nach den jeweils geltenden Studienvorschriften richten. Doktorierende erklären die selbstständige Verfassung im Rahmen des Anmeldeverfahrens zur Promotion. Die zulässige Nutzung, das Offenlegungsformat und etwaige Ausnahmen müssen den Vorgaben der jeweiligen betreuenden Person und Einheit folgen. Die Lehrleitlinien der ETH Zürich weisen Studierende an, ihre Nutzung generativer KI transparent zu machen und anzugeben, welche Tools zu welchen Teilen ihrer Arbeit beigetragen haben, gemäß den geltenden Vorgaben der Lehrenden und den Zitierkonventionen. Bei wissenschaftlichen Texten und Abschlussarbeiten sollten Studierende den zugelassenen KI-Einsatz und die Offenlegungsanforderungen vorab mit ihren betreuenden Personen abstimmen. Die Hinweise der ETH-Bibliothek erkennen eine Ausnahme an, wenn eine betreuende Person ausdrücklich zugestimmt hat, dass bestimmte KI-Nutzung nicht gesondert angegeben werden muss. Ohne eine solche Vereinbarung kann nicht angegebene Nutzung einen Verstoß gegen die wissenschaftliche Integrität darstellen.

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Darf ich sensible Daten hochladen?

Das Hochladen von streng vertraulichen Informationen in externe Cloud-KI-Dienste ist untersagt. Vertrauliche Informationen dürfen nur in speziell geprüften Konfigurationen verarbeitet werden (wie dem M365 Copilot Work-Modus ohne Websuche). M365 Copilot Chat ist für interne Daten freigegeben. Google-KI-Tools wurden vom CISO noch nicht bewertet (Bewertung OPEN) und sind für vertrauliche, streng vertrauliche oder geschützte personenbezogene Daten der ETH nicht freigegeben. Urheberrecht und Datenschutz müssen stets eingehalten werden.

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Auf welche Tools kann ich zugreifen?

Die ETH Zürich empfiehlt für Lehrzwecke Microsoft Copilot, Google Gemini und Google NotebookLM. Die Basis-Chatversionen sind in den institutionellen Abonnements von Microsoft 365 und Google Workspace für Studierende und Mitarbeitende kostenlos enthalten. Sie bieten Datenschutz auf Unternehmensniveau, bei dem Nutzerdaten nicht für das Training von Modellen verwendet werden. Die Google-Tools haben die CISO-Bewertung noch nicht abgeschlossen (OPEN). Daher ist die Verfügbarkeit eines Produkts keine Genehmigung zur Datenklassifizierung. Die Verfügbarkeit eines Tools bedeutet keine Erlaubnis für Prüfungsleistungen; Lehrende entscheiden über die Prüfungsregeln.

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Was sind die Prüfungsregeln?

Leistungsprüfungen müssen selbstständig und persönlich von den Studierenden erbracht werden. Die Verwendung nicht zugelassener Hilfsmittel, einschließlich generativer KI-Werkzeuge, die der Prüfer nicht erlaubt hat, gilt als wissenschaftliches Fehlverhalten und unterliegt Disziplinarmaßnahmen nach der ETH-Zürich-Verordnung über Disziplinarmassnahmen.

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Welche Regeln gelten für Forschung und Veröffentlichung?

Forschende und Studierende tragen die volle Verantwortung für die Integrität ihrer wissenschaftlichen Arbeit und müssen KI-generierte Ausgaben, Referenzen und Fakten überprüfen. Generative KI-Werkzeuge können nicht als Autoren aufgeführt oder als verbindliche Quellen zitiert werden. Abschlussarbeiten erfordern unterschriebene Eigenständigkeitserklärungen; Doktorierende erklären bei der Anmeldung zur Doktorprüfung die selbstständige Urheberschaft. Forschende müssen die geltenden Richtlinien von Förderorganisationen (z. B. SNF) und Verlagen einhalten.

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Was gilt als wissenschaftliches Fehlverhalten?

Die ETH-Bibliothek stellt berechtigten Professorinnen, Professoren und Dozierenden Turnitin Originality zur Textähnlichkeitsprüfung unter Berücksichtigung der Datenklassifizierung und Leitlinien zur verantwortungsvollen, selektiven Nutzung zur Verfügung. Es dürfen nur öffentliche oder interne Dokumente hochgeladen werden. Die Ähnlichkeitsprüfung unterscheidet sich von der Erkennung von KI-Urheberschaft; die ETH Zürich warnt davor, dass die technische Erkennung von KI-generierten Ergebnissen unzuverlässig ist und nicht als schlüssiger Beweis behandelt werden sollte. Verstöße gegen GenAI-Leitlinien wie die Verwendung nicht autorisierter Hilfsmittel oder das Verschweigen ihrer Verwendung unterliegen disziplinarischen Maßnahmen nach den bestehenden Leistungskontrollverordnungen und der Eigenständigkeitserklärung.

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Welche Richtlinien gelten für die Lehre?

Lehrende werden ermutigt, Lehr- und Bewertungsstrategien an generative KI anzupassen, die zulässige Nutzung mit Studierenden zu besprechen, Kurserlaubnisse klar zu kommunizieren und als Vorbilder zu handeln, indem sie die Nutzung generativer KI in Lehrmaterialien und Bewertungsabläufen sichtbar machen, und dabei die Einhaltung der Datenschutzvorschriften sicherstellen.

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Welche Anforderungen an Sicherheit und Beschaffung gelten?

Das ID CCR Cloud Service Center verwaltet institutionelle Cloud-KI-Werkzeuge. Werkzeuge ohne Cloud-Bewertungen (einschließlich Werkzeugen Dritter wie das kommerzielle ChatGPT, Claude, DeepSeek, Perplexity, Grok) werden auf eigene Verantwortung der Nutzenden verwendet und dürfen niemals vertrauliche, streng vertrauliche oder geschützte personenbezogene Daten verarbeiten. Institutionelle Zusatzsoftware (wie Google AI Pro oder M365 Copilot) erfordert den Erwerb von Mitarbeiterlizenzen über den IT-Shop; spezifische Kosten- und Finanzierungsregelungen hängen von den geltenden organisatorischen Verfahren ab.

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Wann wurde dieser Datensatz überprüft?

Datensatz geprüft: 2026-10-12

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Welche offiziellen Quellen stützen diese Regeln?

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Wo kann ich die vollständigen Belege einsehen?

15 · Vollständige Richtlinien-Belege

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