缓解耻辱和促进支持:改善人工智能为微型攻击产生的反言论
Hyeyoung Ryu1, Sungha Kang1, Wanda Pratt1
1The Information School, University of Washington, Seattle, WA.
AMIA ... Annual Symposium proceedings. AMIA Symposium
|February 23, 2026
概括
生成型人工智能工具在解决与性和生殖健康 (SRH) 相关的微型攻击的歧视方面存在局限性. 人工智能必须得到改进,以提供文化敏感的反语,避免伤害并支持寻求护理的个人.
科学领域:
- 数字健康数字健康
- 医疗保健中的人工智能
- 性和生殖健康 性和生殖健康
背景情况:
- 围绕性和生殖健康 (SRH) 的社会耻辱使女性不寻求必要的护理.
- 韩国的文化规范特别阻止未婚女性获得SRH服务.
- 在线平台,虽然提供支持,但无意中可以通过微型攻击来延续耻辱.
研究的目的:
- 检查生成人工智能 (AI) 工具,特别是ChatGPT-4和Copilot GPT-4,它们对与SRH相关的微型攻击进行反言的能力.
- 分析人工智能生成的反言论策略,它们与推方法的协调以及潜在的危害.
- 为人工智能提出改进建议,以提供更有效和文化敏感的反言.
主要方法:
- 分析ChatGPT-4和Copilot GPT-4在对模拟微攻击的反应中产生的反语.
- 对人工智能策略的评估与已建立的反言论原则相比.
- 识别人工智能驱动的反言论的局限性和潜在危害.
主要成果:
- 人工智能工具展示了关键的局限性,包括未能识别隐含的偏见和刻板印象.
- 人工智能把处理微型攻击的负担放在用户身上,只提供表面的同情心.
- 目前的AI反言策略不足以有效地减轻SRH环境中的耻辱感.
结论:
- 生成型人工智能需要显著的改进,以提供有效和文化敏感的反言论,以对待污名化的医疗保健.
- 人工智能必须发展,以避免延续伤害,并更好地支持面临微型攻击的个人.
- 增强的人工智能可以为SRH支持创造更安全的在线空间.
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