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Main Authors: Dehal, Ramandeep Singh, Sharma, Mehak, Santos, Ronnie de Souza
Format: Preprint
Published: 2023
Subjects:
Online Access:https://arxiv.org/abs/2312.04832
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author Dehal, Ramandeep Singh
Sharma, Mehak
Santos, Ronnie de Souza
author_facet Dehal, Ramandeep Singh
Sharma, Mehak
Santos, Ronnie de Souza
contents 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
format Preprint
id arxiv_https___arxiv_org_abs_2312_04832
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Exposing Algorithmic Discrimination and Its Consequences in Modern Society: Insights from a Scoping Study
Dehal, Ramandeep Singh
Sharma, Mehak
Santos, Ronnie de Souza
Software Engineering
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
title Exposing Algorithmic Discrimination and Its Consequences in Modern Society: Insights from a Scoping Study
topic Software Engineering
url https://arxiv.org/abs/2312.04832