Moderator: Charlotte Högberg, PhD student in Technology and Society at Lund University

Description:
The aim of this workshop is to make use of our versatile and knowledgeable WASP-HS community to gain new insights into pieces of our data, broadly construed in terms of research material, as well as an increased understanding of some of the joint knowledge on AI and autonomous systems that we are building through the WASP-HS program. Together we comprise a great pool of knowledge on AI from different perspectives, research disciplines, and theoretical and epistemological strands. However, it is not always easy to find ways in which we can concretely support each other and build upon that shared and diverse knowledge to reach new insights in our own work. This workshop is intended to function as a step in that direction, by a joint informal conversation, and a practical exercise, about our work, in which we can think with our data and one another.

What is required of the workshop participants is to:

1. Bring a piece of data from your research that in some way (small or big) puzzles you. It can be a passage of text that you are analyzing, an empirical, theoretical or legal statement, a short excerpt from your interviews or fieldwork, an image, a value in your dataset, or an output from your model. Anything in your work that you would like to discuss to better understand the meaning of it.
2. Engage in a joint interpretation effort of the pieces.
3. Try to zoom out and add our pieces together, to see what kind of puzzle we can build and what it says about what we as PhD students in WASP-HS are researching, learning and grappling with, regarding AI and autonomous systems.