Datas Impact on Algorithmic Bias

Donghee Shin, Zayed University
Emily Y. Shin, Zayed University

Document Type

Article

Source of Publication

Computer

Publication Date

6-1-2023

Abstract

Algorithmic bias refers to systematic and structured errors in an artificial intelligence system that generate unfair results and inequalities. This column discusses how bias in algorithms appears, amplifies over time, and shapes peoples thinking, potentially leading to discrimination.

ISSN

0018-0814

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Volume

56

Issue

6

First Page

90

Last Page

94

Disciplines

Computer Sciences

Keywords

Algorithmic bias, artificial intelligence, cognitive bias, human bias, data analysis, machine learning, social media platforms, feedback loop, fake news, misinformation, fact-checking

Indexed in Scopus

no

Open Access

yes

Open Access Type

Bronze: This publication is openly available on the publisher’s website but without an open license

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