Conference
Empowering users to detect data analytics discriminatory recommendations
Abstract
Notwithstanding the various benefits ascribed to using Data Analytics (DA) tools in support of decision-making, they have been blamed for their potential to generate discriminatory outputs. Although several purely technical methods have been proposed to help with this issue, they have proven to be inadequate. In this research-in-progress paper, we aim to address this gap by helping users detect discrimination, if any, in DA recommendations. By …
Authors
Ebrahimi S; Hassanein K
Publication Date
January 1, 2019
Conference proceedings
40th International Conference on Information Systems Icis 2019