从"量化孩子"到"支持照顾者":对儿童发展中的人工智能应用进行范式评估和道德途径选择
Yan Xu1,2, Hang Chen1,2, Mu-Mu Wei1,2
1Department of Pediatrics, First Affiliated Hospital, Henan University of Chinese Medicine, Zhengzhou, Henan, China.
Frontiers in psychology
|March 5, 2026
概括
人工智能 (AI) 可以通过帮助照顾者来支持儿童的发展,而不是通过量化儿童. 转向照顾者支持模式可以减少压力,并增强响应式育儿,以获得更好的结果.
科学领域:
- 儿科护理 儿科护理
- 发展科学 发展科学
- 人与计算机的交互
背景情况:
- 人工智能 (AI) 越来越多地用于儿科护理,临床工具有助于识别神经发育风险.
- 越来越多的趋势涉及消费级技术,用于持续量化神经类型儿童.
研究的目的:
- 批判性地评估"量化孩子"的范式.
- 为非临床环境提出一个替代的AI应用模型.
- 检查人工智能在早期儿童发育中的风险和好处.
主要方法:
- 文献综述和对儿科当前人工智能趋势的批判性分析.
- 借鉴发展科学原则.
- 构想一种新的AI范式,专注于护理人员的支持.
主要成果:
- "量化儿童"范式带来系统性风险,包括技术转移,护理人员焦虑和虚假阳性产生的阴性效应.
- 人工智能作为护理人员的行政助理,可以减少认知负载并自动化物流.
- 减少护理人员的压力和节省时间是积极儿童结果的关键媒介.
结论:
- 对于非临床AI应用,建议转向"支持护理人员"范式.
- 人工智能应该减少照顾者的负担,间接增强响应式育儿.
- 这种方法在儿童早期提供了更道德和更有效的AI使用.
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