Missing the missing values: The ugly duckling of fairness in machine learning

Nowadays, there is an increasing concern in machine learning about the causes underlying unfair decision making, that is, algorithmic decisions discriminating some groups over others, especially with groups that are defined over protected attributes, such as gender, race and nationality. Missing val...

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Bibliographische Detailangaben

Veröffentlicht in:	International journal of intelligent systems 2021-07, Vol.36 (7), p.3217-3258
Hauptverfasser:	Fernando, Martínez‐Plumed, Cèsar, Ferri, David, Nieves, José, Hernández‐Orallo
Format:	Artikel
Sprache:	eng
Schlagworte:	algorithmic bias Algorithms Bias confirmation bias data imputation Decision making fairness Intelligent systems Libraries Machine learning Minority & ethnic groups Missing data missing values sample bias survey bias
Online-Zugang:	Volltext
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