Explainability and the Epistemic Division of Labour in Adjudication

IF 0.7 4区 社会学 Q2 LAW University of Toronto Law Journal Pub Date : 2023-06-16 DOI:10.3138/utlj-2023-0003
Vincent Chiao, Martin Heslop
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Abstract

The ‘black box’ quality of contemporary algorithmic tools raises concerns related to their use in court because of the law’s emphasis on explanations, transparency, and public reasons. We argue that the problems of explainability associated with contemporary algorithmic tools are, from a legal perspective, neither sui generis nor irreconcilable with existing norms. We distinguish between the types of explanations required by fact-finders and those required from judges. We conclude that apparent tensions can be reconciled by attending to the epistemic division of labour between the legal and scientific communities, contextualizing expert evidence appropriately, and distinguishing between explanation as reconstruction and as justification.
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裁判中的可解释性与认知分工
由于法律强调解释、透明度和公共原因,当代算法工具的“黑箱”性质引起了人们对其在法庭上使用的担忧。我们认为,从法律的角度来看,与当代算法工具相关的可解释性问题既不是自生的,也不是与现有规范不可调和的。我们区分事实发现者要求的解释类型和法官要求的解释类型。我们的结论是,明显的紧张关系可以通过关注法律界和科学界之间的知识分工、适当地将专家证据置于背景中、区分作为重建和证明的解释来调和。
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来源期刊
CiteScore
1.70
自引率
16.70%
发文量
26
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