Work

Decision making with fair ranking

Year: 2023

Type: conference-paper

Abstract: and Figures Ranking is a responsible process because it involves working with sensitive attributes that can discriminate alternatives. Due to the availability of a large amount of data for automated processing, ranking is increasingly in use in decision making. Therefore, concepts of algorithmic fairness in the field of classification in machine learning find their place in fair ranking methods. This paper provides an overview of fair ranking terms, fair ranking challenges, and fair ranking algorithms from the state-of-the-art literature.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.8369555

Authors: Dodevska, Zorica A., Delibašić, Boris, Radovanovic, Sandro

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Reduced inequalities

Open Access status: green

Funders: Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja, Office of Naval Research

Awards: G1517740703, G4643924711