生成型人工智能是否增加了脆弱人群中技术媒介创伤的风险?
1School of Nursing, University of British Columbia, Vancouver, British Columbia, Canada.
Nursing inquiry
|November 19, 2024
概括
数字健康中的生成人工智能可能通过引发创伤来伤害弱势群体. 本讨论提出了通过将边缘化社区集中在人工智能开发中来缓解人工智能产生的创伤的策略.
科学领域:
- 数字健康数字健康
- 人工智能伦理学 人工智能伦理学
- 心理健康技术 心理健康技术
背景情况:
- 生成型人工智能 (Generative AI) 越来越多地被用于数字健康干预.
- 人们担心人工智能产生的内容可能会在弱势群体中引发或加剧创伤.
- 数字健康干预对于寻求替代医疗服务的个人来说至关重要.
研究的目的:
- 检查数字健康中的生成人工智能如何加剧情绪创伤.
- 提出减轻人工智能创伤的策略.
- 倡导包容性的人工智能发展,考虑到脆弱的少数群体.
主要方法:
- 讨论文章分析了生成人工智能,数字健康和创伤的交叉点.
- 检查潜在的风险和道德考虑.
- 建议可行的缓解策略.
主要成果:
- 数字健康中的生成人工智能存在引发或加剧创伤的风险.
- 由于AI数据中的代表性不足,弱势群体面临不成比例的风险.
- 需要采取可行的策略来确保人工智能安全和公平.
结论:
- 人工智能从业者必须优先考虑经常被排除在AI数据集和算法之外的弱势群体.
- 缓解人工智能产生的创伤需要转向包容和道德的人工智能设计.
- 确保公平的人工智能发展对于安全有效的数字健康干预至关重要.
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