概括
算法预测模型在儿童福利案件中显著影响法律决策,影响儿童的移送和安置. 本研究探讨了这些风险评估工具对法律专业人员的影响.
科学领域:
- 法律决策的法律决策.
- 儿童福利政策 儿童福利政策
- 算法风险评估算法风险评估算法
背景情况:
- 全球儿童福利机构在决策支持中使用算法预测建模.
- 目前的模型主要由机构人员内部用于风险评估.
- 预测模型没有被纳入法律程序或司法决策.
研究的目的:
- 评估预测风险模型对儿童福利法律决策的影响.
- 评估这些模型如何影响移动和安置案件中的律师和法官.
主要方法:
- 对法律专业人士 (律师,法官,法学院学生) 进行了一项随机的图片调查.
- 参与者审查了复杂的寄养儿童移除和安置场景,具有不同的预测风险模型得分.
- 分析了决策,以确定风险得分的影响.
主要成果:
- 高预测风险得分始终改变了关于带走和安置儿童的法律决策.
- 中等和低风险分数也显示出对法律决策的重要影响,尽管不那么一致.
- 结构方程建模证实了风险分数对司法结果的影响.
结论:
- 预测风险模型可以显著影响儿童福利的法律决策.
- 这些发现对围绕这些模型的开发,实施和法律教育有影响.
- 该研究强调了需要在司法程序中仔细考虑算法工具的必要性.
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