Explore the responsible use of AI in generating scientific texts, images, audio and code for scientific purposes

2025_FS_RespUseAILal
05.05.2025 - 14.05.2025
4 days
  • 05.05.2025, 09:00 - 18:00: Explore the responsible use of AI in generating scientific texts, images, audio and code
  • 06.05.2025, 09:00 - 18:00: Explore the responsible use of AI in generating scientific texts, images, audio and code
  • 13.05.2025, 09:00 - 18:00: Explore the responsible use of AI in generating scientific texts, images, audio and code
  • 14.05.2025, 09:00 - 18:00: Explore the responsible use of AI in generating scientific texts, images, audio and code
Start registration period: 06.01.2025
End of registration period: 14.04.2025
ETH Zurich, centre
40
40
All PhD Students: CHF 0
Master Students: CHF 0
Postdocs: CHF 0
Interested in using Generative AI in your scientific work processes in a responsible and ethical manner?
This block course for PhD students allows for experimenting with generative AI to generate texts, images, and audio that can be used in various scientific contexts, from presentations to publications. PhD students are invited to engage in a problem-based learning setting, tackling concerns and critical topics related to the use of AI-based tools with research data, private data, and output generation, including images, text, short videos, audio, and code.
Invited experts will share their knowledge in several hands-on workshops, covering topics such as the generation of scientific illustrations and the customization of AI models in GPTs and bots.


Learning objectives

? Hands-on training on using generative AI in a responsible, efficient and professional way in daily scientific work.
? Competencies to deal with limitations, potential pitfalls and benefits of AI-based tools in relation to research integrity and ethics.
? Reflect on manipulation techniques of present and past scientific visualizations techniques.
? Get introduced into synthetic audiovisual data such as deepfakes.
? Use visualization techniques in co-setup with AI-tools to create visual abstracts, thumbnails or graphical abstracts for peer-reviewed publication.
? Practice collaborative workflows with genAI.
? Get familiar with technologies that should help to protect personal or copyrighted data when using AI and apply them to own data.
Melanie Paschke, Jeanine Reutemann and other experts
1
PhD students of ETH Zurich, University of Zurich and University of Basel.
None
English
Ungraded semester performance. Students will actively participate during the course with group presentations at the end of each block (28 hours face-to-face) Additionally, a documentation needs to be handed in (2 hours).

By registering you agree to the PSC course terms and conditions AGBs

Cancellation of a course registration should be arranged with the course coordination office?psc_phdprogram@ethz.ch?and is possible free of charge up to 2 weeks before the course starts.
Later cancellations and failure to attend or incomplete attendance without documented justification will incur a fee of 200 CHF.

Zurich-Basel Plant Science Center

Dr. Bojan Gujas (psc_phdprogram@ethz.ch)
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