August 25, 2025Advances in Social Behavior ResearchOpen Access

Gender bias in generative AI: how emotional intimacy stabilizes role stereotypes through interaction

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AI responses increasingly conformed to normative gender roles during emotionally intimate interactions, reinforcing biases.
Participants' intimate conversations led to women being viewed as emotional receivers and men as resilience providers.
Utilizing a two-stage corpus design, the study analyzed lexical frames and emotional tones in AI interactions.
Findings demonstrate the ethical challenges posed by dynamic biases in AI communication, emphasizing the need for relational fairness.

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Implication

This study reveals how emotional intimacy stabilizes gender stereotypes in human-computer interactions, indicating evolving biases in generative AI systems.

Cite This Study

Ming‐Yu Yang (2025) studied this question.

synapsesocial.com/papers/68af79b67567bf4f94ff1fbd https://doi.org/10.54254/2753-7102/2025.26277

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Implication

This study reveals how emotional intimacy stabilizes gender stereotypes in human-computer interactions, indicating evolving biases in generative AI systems.

Gender bias in generative AI: how emotional intimacy stabilizes role stereotypes through interaction

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Discussion

Implication

Cite This Study

Gender bias in generative AI: how emotional intimacy stabilizes role stereotypes through interaction

Key Points

Discussion

Implication

Cite This Study

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