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Mein Teller 2050. Lerneinheit zur nachhaltigen und gesunden Ernährung nach der Planetary Health Diet
(2024)Educational Material -
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Ethical Prompting for Generative AI – A how-to guide for students at ETH Zurich.
(2024)This prompting guide builds on a user-centric version of the typically developer oriented FATE, Fairness, Accountability, Transparency, and Ethicality framework. The aim of the guide is to provide educators and students with practical examples of responsible use of generative AI technologies for image and text purposes.Educational Material -
Teaching Collection: Exercises and hands-on examples for ethical use of generative AI
(2024)This collection of excercises is especially targeted to lecturers that want to teach their students to use generative AI in a responsible way with a special focus on responsible prompting.Educational Material -
Research Data Management Training for SCCER
(2018)The customised training «Research Data Management Training for SCCER» was held in the form of an information event. The presentation contains information on research data management and the SNSF Policy on Open Research Data, data management planning and an overview of ETH services for research data management. Due to anonymization, the content of individual slides within this presentation might have been modified before publication.Educational Material -
Cases for Research Integrity: Generative AI
(2024)Generative AI in research has triggered an ethical debate on how it uses might challenge long established codes and practices of research integrity. For example, a survey by Nature (Van Noorden and Perkel, 2023) of 1600 researchers highlighted among others the following topic of concern: Generative AI in research has the potential to introduce mistakes or inaccuracies into research texts, make the detection of fabrication or falsification ...Educational Material -