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Planning Grant "Predicting Biases"

Planning Grant "Predicting Biases"

  • Duration:
  • Application fields

Our intended project will identify key questions related to modeling cognitive biases and how they affect interactions of individuals in social environments. In social environments, conflicts and inconsistencies are ubiquitous in choice making behavior. Experiments consistently dismiss the idea of entirely rational individuals who choose the ‘optimal’ solution according to their preferences. People’s behavior is driven by biases which results in choices that can conflict with these preferences but also recommended activities and social norms. An open question arises whether innovative AI technologies are means for predicting biased choice-making models that can inform domain experts, such as medical doctors.


ETH Zürich, Institut für Internet und Gesellschaft, Universität des Saarlandes, Freie Universität Berlin, Carnegie-Mellon University


VW Stiftung