research
          
      
      ∙
      04/07/2023
    Towards Inclusive Fairness Evaluation via Eliciting Disagreement Feedback from Non-Expert Stakeholders
Traditional algorithmic fairness notions rely on label feedback, which c...
          
            research
          
      
      ∙
      02/16/2022
    On Learning and Enforcing Latent Assessment Models using Binary Feedback from Human Auditors Regarding Black-Box Classifiers
Algorithmic fairness literature presents numerous mathematical notions a...
          
            research
          
      
      ∙
      06/29/2021
    Non-Comparative Fairness for Human-Auditing and Its Relation to Traditional Fairness Notions
Bias evaluation in machine-learning based services (MLS) based on tradit...
          
            research
          
      
      ∙
      09/09/2020