holistic-ai / holisticai

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Draft Bias Survey #126

Closed crismunoz closed 6 days ago

crismunoz commented 4 weeks ago
  1. Introdução

    • Motivation
    • This Paper (Contributions)
  2. Background and Literature (@Kleyt0n ) (Zekun)

    • Notion of Fairness in Artificial Intelligence
    • Surveys and systematic literature reviews
    • Intersecional Fairness (opt)
    • Software Engineering aspects of fairness (opt)
  3. Metrics for Quantify Bias (Bernardo) (Intership)

    • Metrics for classification (bin and mult), regression, clustering, recommender,
    • Novas Metricas?
  4. Strategies to Mitigate Bias (Intership)

    • Pre-processing methods -> Subcategories preprocessing (@fracarfer5 )
      • Classification (bin and mult), regression, clustering, recommender,
    • In-processing methods -> Subcategories preprocessing (@crismunoz )
      • Classification (bin and mult), regression, clustering, recommender,
    • Post-processing methods -> Subcategories preprocessing (André)
      • Classification (bin and mult), regression, clustering, recommender,
  5. Conclusions