Work

The Discovery of Discrimination

Year: 2012

Type: book-chapter

Abstract: 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. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Source: Studies in applied philosophy, epistemology and rational ethics

DOI: 10.1007/978-3-642-30487-3_5

Authors: Dino Pedreschi, Salvatore Ruggieri, Franco Turini

Institution: University of Pisa

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDGs: Peace, justice, and strong institutions, Reduced inequalities

Open Access status: hybrid

OpenAlex ID: W186065028

FWCI: 6.875

Cites: 24

Cited by: 14

Related to: 10