Propagation of societal gender inequality by internet search algorithms.

ABSTRACT: Humans increasingly rely on artificial intelligence (AI) for efficient and objective decision-making, yet there is increasing concern that algorithms used by modern AI systems produce discriminatory outputs, presumably because they are trained on data in which societal biases are embedded. As a consequence, their use by human decision makers may result in the propagation, rather than reduction, of existing disparities. To assess this hypothesis empirically, we tested the relation between societal gender inequality and algorithmic search output and then examined the effect of this output on human decision-making. First, in two multinational samples (n = 37, 52 countries), we found that greater nation-level gender inequality was associated with more male-dominated Google image search

SUBMITTER: Vlasceanu M 

PROVIDER: S-EPMC9304000 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature