Speakers
Description
Doing research means processing large amounts of information. We seek out information, evaluate, synthesize, and communicate it. AI tools promise to help us with these tasks. But can we trust them to actually make our work easier?
One of the core responsibilities of libraries is to teach information literacy. An increase in requests involving A.I. at the Central Library prompted us to explore available A.I. tools. This raised many questions: How do we teach appropriate use of AI tools? What needs to be considered, for example, concerning the privacy and reliability of the output? What are the strengths and weaknesses of A.I.? Will A.I. render traditional tools, workflows, and skills obsolete?
This workshop introduces our preliminary conclusions. We begin with a general introduction to the "Framework for Information Literacy for Higher Education". Then we will provide an overview of our current progress. In the second part of the workshop, participants will be able to explore our pedagogical materials and consider how to adapt them to their own needs. We will conclude with a plenum session where we will come together to discuss what worked and what can be improved.
