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This is a Human Clinical Trial study (also classified as: Cohort Study).

October 16, 2025Open Access

Biased AI Outputs Can Impact Humans’ Implicit Bias: A Case Study of the Impact of Gender-Biased Text-to-Image Generators

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Participants exposed to counter-stereotypic t2i output had significantly lower implicit gender bias than those with gender-neutral output.
Less than 5% of participants preferred counter-stereotypic representations, indicating a disconnect between bias reduction and user preferences.
Stereotypic t2i output did not increase implicit gender bias compared to baseline assessments of participants' biases.
This research highlights the importance of understanding human-AI interaction and suggests strategies for mitigating bias in generative AI.

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Case study demonstrates how gender-biased outputs from t2i affect implicit bias in users, highlighting design implications.

Sim et al. (2025) studied this question.

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