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UZH AI Policies

At UZH, we believe in both academic freedom and responsible innovation.

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 to be able to adapt to this exciting and ever evolving technology.

Below you’ll find the current collection of central and faculty-specific guidelines. This list will grow as more faculties publish their own frameworks.

If you know of a missing policy or spot something outdated, reach out to us at AI [at] uzh.ch.

Policy / Guideline

Issued by (Faculty / Institute)

Scope / Highlights

Seven Guiding Principles on AI in Research & Teaching

Central Admin (UZH)

University-wide high-level principles: integrity, fairness, transparency in research & teaching.

Recommendations on Generative AI in Teaching

Central Admin

Guidance for lecturers/students on usage of generative AI in teaching & assessment.

Medicine: Generative AI recommendations

Faculty of Medicine

Use in dissertations etc.; no patient data in tools; disclosure; verification.

Science Faculty: AI Tools in Teaching & Study

Faculty of Science (MNF)

Encourages critical use of tools; fairness; evaluation; awareness.

Psychology Institute: KI Assistant Guidelines

Institute of Psychology

Use in writing/text/code; responsibility; disclosure; wrong usage ≈ plagiarism.

Educational Sciences: KI Tools Use in Assignments

IfE

Specifies what is allowed / not; prompt disclosure; academic integrity.

IKMZ: Guidelines for Scientific Papers

IKMZ

Formal paper guidelines; includes AI tools usage; citation & transparency.

Guidelines for the Use of AI Tools Department of Communication and Media Research Guidelines for the Use of AI Tools for Assignments at the Media Change and Innovation Division

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