Open, evidence-backed AI policy records for public reuse.
Zürich, Switzerland
ETH Zurich is listed as QS 2026 rank 7. ETH Zurich has 8 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
v1 public contract
ETH Zurich is listed as QS 2026 rank 7. ETH Zurich has 8 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Candidate claims are source-backed records pending review. They are not final policy conclusions and are not legal or academic integrity advice.
8 reviewed public claim
Teaching
Original evidence
Evidence 1ETH Zurich advocates a proactive approach to the use of generative AI (GenAI) within educational contexts, emphasising the responsible use of this technology among students and lecturers.
Academic Integrity
Original evidence
Evidence 1Responsibility: You are responsible for the content of work you submit... Performance assessments must be conducted independently and personally. GenAI may serve a supplementary role, helping you but not replacing your efforts.
Teaching
Original evidence
Evidence 1As a lecturer you are responsible for the content you provide to your students. This means that teaching materials created with GenAI must be subjected to quality control by you... You determine whether and how GenAI may be used in your courses.
Academic Integrity
Original evidence
Evidence 1Legal aspects of GenAI uses are covered by the existing rules for performance assessments and the 'declaration of originality'. Violations such as use of unauthorised aids or non-disclosure of their use will continue to be subject to disciplinary action.
Ai Tool Treatment
Original evidence
Evidence 1The 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 employees and students via secure access. It is therefore recommended that these tools be used primarily for teaching purposes.
Privacy
Original evidence
Evidence 1It is important to respect the privacy and copyright of the content being worked with... If data is passed on to AI-based tools or released for them, it must be clarified in advance that no rights are being violated.
Teaching
Original evidence
Evidence 1Transparency: Be transparent about your use of GenAI. Clearly state which tools you have used for which part of your work using the correct style guide.
Academic Integrity
Original evidence
Evidence 1Technical recognition of output generated using generative AI is currently unreliable and will probably remain so in the future. Trust in such a method is therefore not appropriate.
0 machine or needs-review claim
Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.
5 source attribution
ethz.ch
ethz.ch
ethz.ch
aiethicspolicy.ethz.ch
ethz.ch