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Our resources on
AI Ethics and Policy
AI in Education
- ETH faculty resources
Exploring the use of AI in teaching and learning is an active field of research and development. Instructors are strongly encouraged to set rules and provide guidelines for their courses and for individual assignments, projects, and exams within their courses.
Generative AI in Teaching & Learning - Guidelines
ETH Zurich advocates for a proactive approach to the use of generative AI (GenAI) within educational contexts, emphasising the responsible use of this technology among students and lecturers.
Academic Integrity - ETH faculty resources
The core resource are the Guidelines for Research Integrity, which explain in detail how research integrity and good scientific practice are defined at ETH.
Science-Policy Engagement - ETH faculty resources
The guidelines aim to provide guidance through best practices for members of ETH Zurich who are engaged or plan to engage at the interface between science with policy.
Cases for Research Integrity: Generative AI
This is a collection of case studies for moral reasoning and complementary material that can be easily adapted by lecturers to their research integrity classes.
AI Upskilling: self-learning programme on Sharepoint
Here, learning units use examples to show how prompting works and for which tasks AI is helpful. In addition, limits of AI applications and ethical considerations are highlighted and current articles on AI are regularly published. Recordings of the lunchtime events are also available. The SharePoint site can be used at any time and at your own pace.
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