Analysis Effect of Bias lying in Artificial Intelligence: A Survey

Bangdao Liu; Keyao Wang; Mutian Yang

doi:10.54097/hset.v39i.6776

Authors

Bangdao Liu
Keyao Wang
Mutian Yang

DOI:

https://doi.org/10.54097/hset.v39i.6776

Keywords:

AI; Bias; Gender; Race.

Abstract

Bias, which is one of the most significant social problems, can be reflected the Artificial intelligence. Those biases can be classified into three categories: Gender bias that shows the divergence between males and females, the religious bias that favors some beliefs over others, and racial bias that can be embodied in different AI’s utilization efficiency by whites and nonwhites.

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