Policy presence
University of Zurich has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Zürich, Switzerland
University of Zurich
University of Zurich is listed as QS 2026 rank 100. University of Zurich has 7 source-backed AI policy claim records from 4 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
University of Zurich is listed as QS 2026 rank 100. University of Zurich has 7 source-backed AI policy claim records from 4 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Citation-ready summary
As of this public record, University AI Policy Tracker lists University of Zurich as an agent-reviewed AI policy record last checked on May 14, 2026 and last changed on May 14, 2026. The record contains 7 source-backed claims, including 7 reviewed claims, from 4 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/university-of-zurich.json. The entity-level confidence is 94%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.
Policy signals in this record
- Evidence includes Source status claims.
- Evidence includes Privacy claims.
- Evidence includes Academic integrity claims.
- Evidence includes Teaching claims.
- No specific AI service name is highlighted by the current public claim text.
- Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
- Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
Review: Agent reviewed
This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.
This page is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.
Policy profile
Deterministic source-backed dimensions derived from this record's public claims.
Review: Machine candidate
Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.
Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.
AI disclosure
University of Zurich has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
University of Zurich has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
University of Zurich has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
University of Zurich has 1 source-backed public claim for privacy and data entry; deterministic analysis status: required.
Academic integrity
University of Zurich has 3 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Approved tools
No source-backed public claim identifying approved or licensed AI tools is present in this profile.
The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.
Named AI services
University of Zurich has 1 source-backed public claim for named ai services; deterministic analysis status: required.
Teaching guidance
University of Zurich has 4 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
University of Zurich has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
Security and procurement
No source-backed public claim about AI security review or procurement is present in this profile.
The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
Evidence-backed claims
7 reviewed evidence-backed public claim
Source Status
The University of Zurich has seven guiding principles on the use of artificial intelligence in research and teaching, adopted by the Extended Executive Board on 26 September 2023 and later expanded and supplemented.
Review: Agent reviewed
Normalized value: seven_guiding_principles_ai_research_teaching_adopted_2023_09_26
Original evidence
Evidence 1Artificial intelligence (AI) tools are shaping and changing the way people conduct research and teach. Considering the risks and opportunities, the Extended Executive Board of the University adopted the following guiding principles governing the use of this cutting-edge technology on 26 September 2023, which have since been expanded and supplemented.
Localized display only
UZH states that its Extended Executive Board adopted seven guiding principles for AI use in research and teaching on 26 September 2023, later expanded and supplemented.
Privacy
UZH guiding principles say members are transparent about AI-tool use, users bear sole responsibility for AI-assisted content and products, and AI tools must be used in accordance with statutory provisions including data protection and copyright law.
Review: Agent reviewed
Normalized value: transparent_ai_use_user_responsibility_data_protection_copyright
Original evidence
Evidence 1UZH members are transparent about their use of AI tools. The sole responsibility for content and products generated with the help of AI lies with the relevant users. UZH members use AI tools in accordance with the statutory provisions (in particular, data protection and copyright law).
Localized display only
The UZH principles require transparency about AI use, user responsibility for AI-assisted content, and compliance with statutory provisions including data protection and copyright law.
Academic Integrity
UZH guiding principles say faculties should ensure equal opportunities and fair assessment conditions whether AI tools are permitted or prohibited, and that UZH will uphold academic integrity and penalize violations of its disciplinary or integrity rules.
Review: Agent reviewed
Normalized value: fair_assessment_conditions_ai_permitted_or_prohibited_integrity_penalties
Original evidence
Evidence 1The faculties ensure equal opportunities and fair conditions when carrying out assessments regardless of whether the use of AI tools as aids is permitted or prohibited. UZH will uphold academic integrity in all its activities and penalise violations of its Disciplinary Regulations and/or its Integrity Ordinance.
Localized display only
The UZH principles require fair assessment conditions whether AI aids are permitted or prohibited and say UZH penalizes violations of disciplinary or integrity rules.
Teaching
UZH recommendations say faculties and study program directors are responsible for specific generative-AI guidelines and should ensure students know whether and how generative AI may be used in assessments.
Review: Agent reviewed
Normalized value: faculties_program_directors_define_guidelines_students_informed_assessment_use
Original evidence
Evidence 1The faculties and the individual study program directors are responsible for drawing up specific guidelines and policies. Those responsible must ensure that students are aware of whether and to what extent generative AI may be used in assessments. If the use of generative AI is not or only partially permitted, they should ensure the relevant assessments are conducted fairly.
Localized display only
UZH recommendations place responsibility on faculties and study program directors to set specific guidelines and ensure students know whether and how generative AI may be used in assessments.
Academic Integrity
UZH recommendations say a declaration of authenticity can address generative-AI tools, that the person completing it should confirm only permitted aids or tools were used, and that any generative-AI use must always be indicated.
Review: Agent reviewed
Normalized value: declaration_authenticity_permitted_aids_any_genai_use_indicated
Original evidence
Evidence 1A declaration of authenticity can be used for written assessments to confirm, among other things, that the tools and sources used have been correctly cited and referenced. The person completing the declaration must confirm that they have only used the permitted aids or tools. Any use of generative AI tools must always be indicated.
Localized display only
UZH recommendations say declarations of authenticity can address generative AI, require confirmation that only permitted tools were used, and state that any generative-AI use must always be indicated.
Academic Integrity
For the University of Zurich Faculty of Arts and Social Sciences, teaching staff determine for each module the extent to which AI is permitted for assessments; use of tools or generative AI without explicit consent and disclosure is punished as academic misconduct.
Review: Agent reviewed
Normalized value: faculty_arts_social_sciences_module_specific_ai_permission_unauthorized_undisclosed_use_misconduct
Original evidence
Evidence 1The Faculty of Arts and Social Sciences is generally supports the productive and considered use of AI. Teaching staff determine for each module the extent to which the use of AI is permitted for assessments. The use of AI can also be completely excluded. The use of tools or generative AI without the explicit consent of the teaching staff and without disclosing the tools will be punished as academic misconduct.
Localized display only
For the Faculty of Arts and Social Sciences, teaching staff determine per module whether AI is permitted, and undisclosed or unauthorized use is punished as academic misconduct.
Source Status
UZH.ai presents a current collection of central and faculty-specific AI guidelines and says UZH is working on a unified university-wide AI policy.
Review: Agent reviewed
Normalized value: current_collection_central_faculty_specific_guidelines_unified_policy_in_progress
Original evidence
Evidence 1Below you’ll find the current collection of central and faculty-specific guidelines. This list will grow as more faculties publish their own frameworks. That means: each faculty is free to define policies that fit its teaching and research needs — while we’re also working behind the scenes on a unified, university-wide AI policy.
Localized display only
The UZH.ai policy hub describes current central and faculty-specific guidelines and says a unified university-wide AI policy is being worked on.
Candidate claims
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.
Official sources
4 source attribution
Artificial Intelligence
uzh.ch
Assessments
phil.uzh.ch
Recommendations on the Use of Generative Artificial Intelligence at UZH
uzh.ch
UZH AI Policies
ai.uzh.ch
Change log
Source-check timeline and diff-style claim/evidence preview.
View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.
Corrections and missing evidence
Corrections create review tasks and do not directly change this public record.
If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.