Biased Data, Models, and Algorithms. Perspectives from Data Science

Montag, 31.10.2022, 09:00 Uhr

Data Science and especially machine learning technologies require massive amounts of data in order to produce stable and reliable models. At the same time, researchers and public advocates pointed for several years to problems embedded in data: Be it as unbalanced data sets and highly problematic representations of culture or society. The event brings together critical approaches and high-end data science applications. We want to discuss how we can cope with the challenges of data-hungry algorithms in a society aware of collection and representation shortcomings.