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

GPT-4和GPT-5等AI模型在心理健康污名表征中存在性别偏见

一篇新发表在arXiv上的研究论文调查了GPT-4和GPT-5等大型语言模型如何表征不同性别群体的心理健康污名。研究发现,虽然模型在一定程度上与人类对污名的感知一致,但它们系统性地低估了个人污名和感知污名,同时高估了自我污名。该研究强调,需要仔细验证AI模型与真实世界数据,以确保在心理健康应用中的公平和安全部署。 AI

影响 凸显了用于心理健康的AI中潜在的偏见,需要仔细验证以实现公平部署。

排序理由 发表在arXiv上的研究论文,详细介绍了AI模型行为。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

GPT-4和GPT-5等AI模型在心理健康污名表征中存在性别偏见

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发表在arXiv上的研究论文,详细介绍了AI模型行为。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

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

    人工智能对心理健康污名的表征:使用基于 GPT 的大型语言模型量化人工智能估算与不同性别群体人类感知之间的差距

    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…