医生现在会对你进行测谎仪
James Anibal1,2, Jasmine Gunkel3, Shaheen Awan4
1Center for Interventional Oncology, Clinical Center, National Institutes of Health (NIH), Bethesda, MD USA.
用于预测社会行为的人工智能 (AI) 引发了关于患者数据隐私和对患者与提供者关系的信任的伦理问题. 人工智能系统可能会表现出偏见,可能会损害患者和医疗保健完整性.
科学领域:
- 医学伦理 医学伦理
- 医疗保健中的人工智能
- 临床信息学 临床信息学
背景情况:
- 人工智能方法越来越多地被提出用于从患者数据中预测社会行为.
- 该应用程序引入了与患者隐私,数据控制和尊重相关的新伦理挑战.
- 用于社会行为验证的临床人工智能提出了独特的伦理考虑.
研究的目的:
- 识别和分类与人工智能系统相关的伦理问题,用于在临床环境中验证社会行为.
- 分析AI不准确性,偏见和"AI自信"对患者与提供者关系的潜在影响.
- 为减轻人工智能验证方法在医疗保健中的风险提出建议.
主要方法:
- 在临床社会行为预测中,围绕人工智能的伦理问题进行审查.
- 模拟了基于语音样本的AI验证系统的滥用情况.
- 分析潜在的大型语言模型 (LLM) 偏差,偏好多维数据而不是患者报告的信息.
主要成果:
- 伦理问题分为两个类别:系统的不准确性/偏见以及对患者提供者信任的影响.
- 模拟的滥用揭示了对患者报告信息的潜在LLM偏见,有利于其他AI输出 ("AI自信").
- 人工智能验证方法有可能破坏患者的信任和医疗保健系统的完整性.
结论:
- 人工智能用于社会行为预测需要仔细的伦理考虑.
- 缓解策略对于预防对患者的伤害和维护医疗保健系统的完整性至关重要.
- 解决人工智能偏见及其对信任的影响对于负责任的实施至关重要.
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