Ferrara, Antonio
Bonchi, Francesco
Fabbri, Francesco
Karimi, Fariba
Wagner, Claudia
Funding for this research was provided by:
European Union’s Horizon 2020 for the project : “NoBIAS - Artificial Intelligence without Bias” (860630)
Article History
Received: 5 December 2023
Accepted: 14 April 2024
First Online: 31 May 2024
Declarations
:
: This paper focuses on bias and fairness issues in ranking from pairwise comparisons. Although the goal is to mitigate such issues, there are several ethical aspects to be considered. First, in order to tackle bias issues we need access to the sensitive attributes (for example gender or race) for which we want to mitigate biases. Furthermore, ranking from pairwise comparison methods, and hence BARP as such, can be used in decision making contexts, such as hiring or university admissions, that can affect human lives. Moreover, we considered biases against groups of people, however discriminatory behaviours against single individuals might still exist and special attention is required in such cases.