Datas Impact on Algorithmic Bias
Source of Publication
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.
Institute of Electrical and Electronics Engineers (IEEE)
Algorithmic bias, artificial intelligence, cognitive bias, human bias, data analysis, machine learning, social media platforms, feedback loop, fake news, misinformation, fact-checking
Shin, Donghee and Shin, Emily Y., "Datas Impact on Algorithmic Bias" (2023). All Works. 5854.
Indexed in Scopus
Open Access Type
Bronze: This publication is openly available on the publisher’s website but without an open license