Artificial intelligence promises to revolutionize scholarly and scientific inquiries. It influences how we produce, assess, and communicate our research. However, generative AI is not a neutral instance but built on previously digitized data, text, and imagery. Therefore, all generative AI systems are highly biased and a model of the past. Still, it is undeniable that the usage will allow us to create new forms of research.

The workshop brings together theoretical perspectives on open research data strategies with practical applications of various forms of artificial intelligence. It will open with an introductory talk by Amrei Bahr (University of Stuttgart), a recognized expert in epistemological and methodological questions in scholarship and a leading voice in current discussions on the use of AI in the sciences.

By addressing AI as a methodological issue, we don't subscribe to the hype but rather put the various opportunities and limitations up for discussion. Join us!

More information and registration (free of charge) on our website.

Organizers: 

• Open Science Team at the University Library of Bern
• Digital Humanities department of the University of Bern

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