Exposing Algorithmic Discrimination and Its Consequences in Modern Society: Insights from a Scoping Study

• URL: http://arxiv.org/abs/2312.04832v2
• Date: Wed, 17 Jan 2024 02:11:37 GMT
• Title: Exposing Algorithmic Discrimination and Its Consequences in Modern Society: Insights from a Scoping Study
• Authors: Ramandeep Singh Dehal, Mehak Sharma, Ronnie de Souza Santos
• Abstract summary: This study delves into various studies published over the years reporting algorithmic discrimination. We aim to support software engineering researchers and practitioners in addressing this issue.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Algorithmic discrimination is a condition that arises when data-driven software unfairly treats users based on attributes like ethnicity, race, gender, sexual orientation, religion, age, disability, or other personal characteristics. Nowadays, as machine learning gains popularity, cases of algorithmic discrimination are increasingly being reported in several contexts. This study delves into various studies published over the years reporting algorithmic discrimination. We aim to support software engineering researchers and practitioners in addressing this issue by discussing key characteristics of the problem

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