呼吁解决人工智能"幻觉"以及医疗专业人员如何减轻他们的风险
Rami Hatem1, Brianna Simmons1, Joseph E Thornton1
1Department of Psychiatry, University of Florida College of Medicine, Gainesville, USA.
Cureus
|October 9, 2023
概括
人工智能 (AI) 可以改善医疗保健,但术语"AI幻觉"可能会污名化系统和人. 使用"人工智能错误信息"是一个更合适的替代方案,以避免负面内涵,并促进负责任的AI整合到医学中.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能伦理学 人工智能伦理学
- 临床决策支持 临床决策支持
背景情况:
- 人工智能 (AI) 具有显著的潜力,可以增强医疗保健提供和减轻医疗保健专业人员的倦怠.
- 人工智能在临床环境中的出现需要仔细考虑其输出及其用于描述不准确性的术语.
- 人们对与"人工智能幻觉"一词相关的潜在污名存在担忧.
研究的目的:
- 批判性地评估用于描述医学AI错误的术语.
- 建议"人工智能错误信息"是一个比"人工智能幻觉"更合适的术语,以防止污名化.
- 强调对医疗保健中的人工智能系统进行仔细评估的重要性.
主要方法:
- 在医学背景下对人工智能术语的概念分析.
- 关于人工智能错误及其社会影响的文献综述.
- 关于人工智能系统感知和用户交互的伦理考虑.
主要成果:
- "人工智能幻觉"一词可能会无意中导致人工智能系统和个人的耻辱化.
- "人工智能错误信息"被认为是一个更准确,更少污名化的替代方案.
- 医疗保健专业人员对于人工智能的伦理整合至关重要,特别是在心理健康方面.
结论:
- 采用精确而非耻辱化的语言对于AI在医学中的负责任开发和部署至关重要.
- 医疗保健专业人员需要对新兴的人工智能技术进行持续的批判性评估.
- 促进准确的术语可以培养信任,并促进人工智能在医疗实践中的有益整合.
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