算法工具帮助儿童保护服务的社会工作者做出明智的决定:一个范围审查
A E Gabriels1, Chris H Z Kuiper2, Annemiek T Harder1
1Department of Psychology, Education and Child Studies, Erasmus University of Rotterdam, Burgemeester Oudlaan 50, 3062, PA, Rotterdam, the Netherlands.
Child abuse & neglect
|September 17, 2025
概括
算法决策支持工具对儿童保护服务有希望,帮助社会工作者处理复杂案件. 虽然有希望,但伦理问题,特别是关于种族差异的问题,在广泛采用之前需要进一步的研究.
科学领域:
- 儿童福利研究儿童福利研究
- 决策支持系统 决策支持系统
- 社会工作技术的技术.
背景情况:
- 儿童保护服务面临着复杂的决策和固有的不确定性.
- 现有的决策支持工具旨在改善结果,但它们的使用和有效性尚未得到充分记录.
研究的目的:
- 审查基于算法的儿童保护决策支持工具.
- 评估这些工具在加强社会工作者决策方面的潜力.
主要方法:
- 从2000年到2022年,在七个数据库中进行了范围文献审查.
- 机器学习程序ASReview被用来进行高效的文本选.
主要成果:
- 该审查包括了24项研究,主要来自北美和欧洲.
- 大多数工具专注于预测虐待风险 (83%),更少的工具提供干预建议 (17%).
- 经常引用了阿莱格尼家庭查工具 (AFST) 和儿童和青少年需求和优势 (CANS).
结论:
- 在儿童保护方面,算法决策支持工具正在芽.
- CANS,人工神经网络和增强树模型显示出进一步调查的前景.
- 伦理方面的考虑,特别是种族差异,很重要,在大规模实施之前需要进行额外的研究.
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