Causal structure learning of bias for fair affect recognition

HIGHLIGHTS

• who: Jiaee Cheong and collaborators from the University of Cambridge, UK have published the research: Causal Structure Learning of Bias for Fair Affect Recognition, in the Journal: (JOURNAL)
• what: To address this gap the authors provide the first causal structure formalisation of the different biases that can arise in affect recognition. The authors provide a proof of concept of a post-hoc pattern search method that can be used to understand bias. Third, the authors provide an analysis of the findings and highlight the existing opportunities and challenges. The authors attempt to identify bias using . . .
  

   

  

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