预测犯罪的技术:在警察和刑事法院接收算法
Sarah Brayne1, Angèle Christin2
1University of Texas at Austin.
Social problems
|January 22, 2024
概括
刑事司法中的预测算法采用客观性和效率的论点. 然而,专业人士抵制这些技术,因为担心失业和监视,导致裁量权的排挤.
科学领域:
- 犯罪学 犯罪学
- 技术社会学技术的社会学.
- 公共政策 公共政策
背景情况:
- 美国刑事司法系统越来越多地使用预测技术.
- 关于这些算法在机构内如何被接受的研究有限.
研究的目的:
- 评估预测技术在执法和刑事法院中的影响.
- 了解刑事司法中对算法的接受和抵抗.
主要方法:
- 大型城市警察局的民族学实地调查.
- 在一个中型刑事法庭的民族学实地调查.
主要成果:
- 算法以客观性和效率的要求为理由,反映了执法部门和法院的论点.
- 两种情况下的专业人士都表现出抵抗力,因为他们担心失业和监视.
- 抵抗策略包括拖延和数据模糊.
结论:
- 预测技术取代了,而不是取代了人类的自由裁量权,将其转移到不太明显的区域.
- 这种流离失所对大数据时代的问责制,不平等和正义产生了重大影响.
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