Social Science Data Lab: Investigating fairness in data-driven allocation of public resources

Presenter(s)

Eva Achterhold is a master's student at the Chair for Statistics and Data Science in Social Sciences and the Humanities at LMU Munich. Her research interests include the study of the socio-cultural impact of AI, especially with regard to discrimination and transparency, and the application of methods to mitigate negative consequences. She is currently working on the topic of fairness in algorithmic decision making in the context of allocating support programs to unemployed individuals.