Researching with AI. Between Opportunity and Imposition
Abstract
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 combines theoretical approaches to open research data strategies with applied uses of various forms of artificial intelligence. 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.
Amrei Bahr (University of Stuttgart) is a renowned expert in the field and an important voice with regards to epistemological and methodological questions, when leveraging AI in the sciences. She will open the event with an introductory talk that sets the stage for the discussion.
The workshop combines theoretical approaches to open research data strategies with applied uses of various forms of artificial intelligence. 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.
Amrei Bahr (University of Stuttgart) is a renowned expert in the field and an important voice with regards to epistemological and methodological questions, when leveraging AI in the sciences. She will open the event with an introductory talk that sets the stage for the discussion.
Hosting Organization
Start Date
2026-02-11
End Date
2026-02-11
Location
Main Building, Hochschulstrasse 4, Room 120
Type
workshop
Keywords
AI
#LoveData26
Open Science
Digital Humanities
Language
en
Additional Credits