The Discovery of Discrimination [chapter]

Dino Pedreschi, Salvatore Ruggieri, Franco Turini
2013 Studies in Applied Philosophy, Epistemology and Rational Ethics  
Discrimination discovery from data consists in the extraction of discriminatory situations and practices hidden in a large amount of historical decision records. We discuss the challenging problems in discrimination discovery, and present, in a unified form, a framework based on classification rules extraction and filtering on the basis of legally-grounded interestingness measures. The framework is implemented in the publicly available DCUBE tool. As a running example, we use a public dataset on credit scoring.
doi:10.1007/978-3-642-30487-3_5 dblp:series/sapere/PedreschiRT13 fatcat:iq46kgkbbna3noupira54za3qq