Winterthur, Switzerland

Zurich University of Applied Sciences (ZHAW)

Zurich University of Applied Sciences (ZHAW) has 6 source-backed AI policy claims from 3 official source attributions. Review state: agent reviewed; 6 reviewed claims. Last checked May 21, 2026.

Zurich University of Applied Sciences (ZHAW) AI policy short answer

v1 public contract

Zurich University of Applied Sciences (ZHAW) has 6 source-backed AI policy claims from 3 official source attributions, including 6 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 21, 2026. Discovery context: Zurich University of Applied Sciences (ZHAW) is listed as QS 2026 rank 801-850.

Citation-ready summary

As of this public record, University AI Policy Tracker lists Zurich University of Applied Sciences (ZHAW) as an agent-reviewed AI policy record last checked on May 21, 2026 and last changed on May 21, 2026. The record contains 6 source-backed claims, including 6 reviewed claims, from 3 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/zurich-university-of-applied-sciences-zhaw.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.

Claim coverage6 reviewedSource languagedePublic JSON/api/public/v1/universities/zurich-university-of-applied-sciences-zhaw.json

Policy signals in this record

  • Evidence includes Source status claims.
  • Evidence includes Academic integrity claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Privacy 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.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims6Reviewed6Candidate0Official sources3

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.

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence79%

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.

Policy presence

Zurich University of Applied Sciences (ZHAW) has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.

UnclearMachine candidateConfidence80%Evidence1Sources1

Privacy and data entry

Zurich University of Applied Sciences (ZHAW) has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence79%Evidence1Sources1

Teaching guidance

Zurich University of Applied Sciences (ZHAW) has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence77%Evidence1Sources1

Research guidance

No source-backed public claim about research AI use is present in this profile.

The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

6 reviewed evidence-backed public claim

Source Status

ZHAW has a public university guideline, valid from 1 March 2025, on the use of generative AI systems in assessments.

Review: Agent reviewedConfidence94%

Normalized value: public_guideline_valid_from_2025-03-01

Original evidence

Evidence 1
Version: 3.0.0 gültig ab: 01.03.2025 ... Diese Richtlinie inklusive des Anhangs Deklarationspflicht KI bei Arbeiten ... erläutert die Verwendung generativer KI-Systeme bei summativen (bewertungsrelevanten) Leistungsnachweisen und richtet sich an Mitarbeitende der ZHAW.

Localized display only

Version 3.0.0, valid from 01.03.2025; the guideline explains the use of generative AI systems in summative, assessment-related assessments and is aimed at ZHAW employees.

Academic Integrity

For ZHAW graded assignments, generative AI systems that shape the assignment's content are subject to a declaration obligation so that the AI contribution is recognizable.

Review: Agent reviewedConfidence94%

Normalized value: graded_assignments_declare_content_shaping_ai

Original evidence

Evidence 1
Der Anteil bzw. das Ausmass des Mitwirkens von generativen KI-Systemen an der schöpferischen Leistung ... muss für Dritte erkennbar sein. Grundsätzlich gilt daher eine Deklarationspflicht für alle generativen KI-Systeme, welche eine Arbeit inhaltlich mitgestalten.

Localized display only

The share or extent of generative AI's contribution must be recognizable to third parties; there is a declaration obligation for all generative AI systems that shape a graded assignment's content.

Ai Tool Treatment

For ZHAW examinations, specific generative AI systems are not allowed unless they are explicitly stated as permitted aids.

Review: Agent reviewedConfidence93%

Normalized value: examinations_ai_not_allowed_unless_explicitly_permitted

Original evidence

Evidence 1
Sofern spezifische generative KI-Systeme nicht explizit als erlaubte Hilfsmittel angegeben werden, ist ihre Verwendung bei einer Prüfung unerlaubt.

Localized display only

Unless specific generative AI systems are explicitly stated as permitted aids, their use in an examination is not allowed.

Privacy

ZHAW states that personal data, data requiring heightened protection, and legally or contractually confidential data may not be processed with generative AI systems unless ZHAW has reviewed and approved those systems for data-protection compliance.

Review: Agent reviewedConfidence93%

Normalized value: protected_or_confidential_data_requires_zhaw_approved_ai_system

Original evidence

Evidence 1
Personendaten und andere Daten mit erhöhtem Schutzbedarf sowie Daten, welche einer vertraglichen oder gesetzlichen Geheimhaltung unterliegen, dürfen nicht mit generativen KI-Systemen bearbeitet werden, sofern diese Systeme hierfür nicht von der ZHAW datenschutzrechtlich geprüft und freigegeben worden sind.

Localized display only

Personal data, data requiring heightened protection, and contractually or legally confidential data may not be processed with generative AI unless ZHAW has reviewed and approved the systems for data-protection compliance.

Academic Integrity

ZHAW's declaration annex requires incorporated generative-AI output to be cited, requires listed tools and purposes for text creation or editing uses, and generally requires a method-section description of AI use.

Review: Agent reviewedConfidence92%

Normalized value: cite_list_and_method_describe_ai_use

Original evidence

Evidence 1
Ein generatives KI-System ist im Text der Arbeit zu zitieren, wenn schöpferische Inhalte ... in die eigene Arbeit ... eingebaut werden. ... die verwendeten Werkzeuge unter Angabe des Verwendungszwecks ... aufgelistet ... Zur besseren Erkennbarkeit ... muss generell ... beschrieben werden, wie generative KI-Systeme in der Arbeit verwendet wurden.

Localized display only

The annex requires citing incorporated AI-generated content, listing the tools and purposes for text creation/editing uses, and generally describing how generative AI systems were used.

Teaching

For evaluating assessments, ZHAW says teaching staff may use generative AI only as an aid for open-ended task formats and should refrain from using software to detect AI-generated text for assessment purposes.

Review: Agent reviewedConfidence91%

Normalized value: ai_evaluation_aid_only_and_no_ai_text_detection_for_assessment

Original evidence

Evidence 1
Zudem dürfen KI-Systeme bei der Bewertung offener Aufgabenformate nur als Hilfsmittel eingesetzt werden. Die Verwendung von Software zur Erkennung von KI-generierten Texten zum Zweck der Leistungsbewertung ist zu unterlassen.

Localized display only

AI systems may be used only as an aid when evaluating open-ended task formats; software for detecting AI-generated text for assessment purposes is to be refrained from.

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

3 source attribution

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.

Last checkedMay 21, 2026Last changedMay 21, 2026Open change log

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.

Back to universities