Data@CLIM+ Knowledge Center
Technical resource

Guidance on Generative AI Use

Practical principles for using generative AI responsibly, transparently, and effectively in NCCR CLIM+ work.

Core principles

Generative AI can support research and daily work when used with care, critical judgment, and respect for data-protection and research-integrity requirements.

Protect sensitive information

Do not enter confidential, personal, or unpublished research data into public AI tools.

Verify outputs

Review generated content carefully. You remain responsible for the accuracy, appropriateness, and quality of your work.

Be transparent about AI use

Follow relevant project, publication, and funder guidance when acknowledging the use of generative AI.

Respect rights and attribution

Consider copyright, licensing, and attribution when working with generated text, images, code, or other materials.

Read: A brief note on generative AI use (PDF)

Recommended resources

ETH Zurich: Guide for Users of AI

Guidance on safe and responsible AI use.

EPFL: Artificial Intelligence and Scientific Information

Library guidance and resources for AI in scientific information.

University of Bern: Responsible use of GenAI

A step-by-step guide from the University of Bern.

University of Geneva: Use of Generative AI

University guidance for informed, critical, and responsible AI use.

University of Lausanne: AI FAQ

Frequently asked questions on using artificial intelligence.

UZH: Recommendations on Generative AI

Recommendations from the University of Zurich.

Questions? Contact Anna at anna.merrifield@c2sm.ethz.ch