Christoph Kern

Preventing Harmful Data Practices by using Participatory Input to Navigate the Machine Learning Multiverse

In light of inherent trade-offs regarding fairness, privacy, interpretability and performance, as well as normative questions, the machine learning (ML) pipeline needs to be made accessible for public input, critical reflection and engagement of diverse stakeholders. In this work, we introduce a participatory appr…