Quantifying explainable discrimination and removing illegal discrimination in automated decision making

Knowledge and Information Systems

Volumn 35, Issue 3, 2013, Pages 613-644

  Kamiran, Faisal ^a   Žliobaite, Indre ^b   Calders, Toon ^c  

^a KING ABDULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Saudi Arabia)

^b BOURNEMOUTH UNIVERSITY   (United Kingdom)

^c EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Classification; Discrimination aware data mining; Independence

Indexed keywords

CRIME; DATA MINING; DECISION MAKING;

ALGORITHMIC TECHNIQUES; AUTOMATED DECISION MAKING; CLASSIFICATION DATASETS; EXPERIMENTAL EVALUATION; GENDER DISCRIMINATION; INDEPENDENCE; SENSITIVE ATTRIBUTE; STATE-OF-THE-ART TECHNIQUES;

CLASSIFICATION (OF INFORMATION);

EID: 84877110194     PISSN: 02191377     EISSN: 02193116     Source Type: Journal    
DOI: 10.1007/s10115-012-0584-8     Document Type: Article

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