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AI models like GPT-4 and GPT-5 show gender bias in mental health stigma representation

By PulseAugur Editorial · [1 sources] ·

A new research paper published on arXiv investigates how large language models like GPT-4 and GPT-5 represent mental health stigma across different gender groups. The study found that while the models partially align with human perceptions of stigma, they systematically underestimate personal and perceived stigma while overestimating self-stigma. The research highlights the need for careful validation of AI models against real-world data to ensure equitable and safe deployment in mental health applications. AI

IMPACT Highlights potential biases in AI used for mental health, necessitating careful validation for equitable deployment.

RANK_REASON Research paper published on arXiv detailing AI model behavior. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI models like GPT-4 and GPT-5 show gender bias in mental health stigma representation

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18 / 100
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Research paper published on arXiv detailing AI model behavior. [lever_c_demoted from research: ic=1 ai=1.0]
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Soojong Kim, Hye Min Kim, Kwanho Kim, Dongdong Zhu ·

    AI Representations of Mental Health Stigma: Quantifying the Gap Between AI Estimations and Human Perceptions Across Gender Groups Using GPT-Based LLMs

    arXiv:2610.16042v1 Announce Type: cross Abstract: The increasing use of artificial intelligence (AI) in mental health applications raises concerns about its potential to internalize and perpetuate societal biases. This research evaluates both disparities and misalignment in how l…

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