Content Analysis of Judges' Sentiments Toward Artificial Intelligence Risk Assessment Tools

Q2 Social Sciences
Anna M. Fine, Stephanie Le, Monica K. Miller
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引用次数: 0

Abstract

Artificial intelligence (AI) uses computer programming to make predictions (e.g., bail decisions) and has the potential to benefit the justice system (e.g., save time and reduce bias). This secondary data analysis assessed 381 judges’ responses to the question, “Do you feel that artificial intelligence (using computer programs and algorithms) holds promise to remove bias from bail and sentencing decisions?” The authors created apriori themes based on the literature, which included judges’ algorithm aversion and appreciation, locus of control, procedural justice, and legitimacy. Results suggest that judges experience algorithm aversion, have significant concerns about bias being exacerbated by AI, and worry about being replaced by computers. Judges believe that AI has the potential to inform their decisions about bail and sentencing; however, it must be empirically tested and follow guidelines. Using the data gathered about judges’ sentiments toward AI, we discuss the integration of AI into the legal system and future research.
法官对人工智能风险评估工具的情感内容分析
人工智能(AI)使用计算机编程进行预测(例如,保释决定),并有可能使司法系统受益(例如,节省时间和减少偏见)。这项二次数据分析评估了381名法官对以下问题的回答:“你认为人工智能(使用计算机程序和算法)有希望消除保释和量刑决定中的偏见吗?”作者在文献基础上构建了法官算法厌恶与欣赏、控制位点、程序正义、合法性等先验主题。结果表明,法官对算法有反感,对人工智能加剧偏见有严重担忧,并担心被计算机取代。法官认为,人工智能有可能为他们的保释和量刑决定提供信息;然而,它必须经过经验检验并遵循指导方针。利用收集到的关于法官对人工智能的看法的数据,我们讨论了人工智能融入法律体系和未来的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Criminology, Criminal Justice, Law and Society
Criminology, Criminal Justice, Law and Society Social Sciences-Sociology and Political Science
CiteScore
0.90
自引率
0.00%
发文量
11
审稿时长
12 weeks
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