Problems with Probability

IF 0.7 4区 社会学 Q2 LAW University of Toronto Law Journal Pub Date : 2023-08-01 DOI:10.3138/utlj-2023-0006
A. Casey, Anthony Niblett
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引用次数: 0

Abstract

Abstract:Some countries have explored the idea of using artificial intelligence (AI) systems to help triage the backlog of cases and facilitate the resolution of civil disputes. In theory, AI can accomplish this by establishing the facts of cases and predicting the outcomes of disputes. But the use of AI in the courtroom gives rise to new problems. AI technologies help solve prediction problems. These solutions are typically expressed as probabilities. How should judges incorporate these predictions in their decision making? There is no obviously correct approach for converting probabilistic predictions of legal outcomes into binary legal decisions. Any approach that does so has benefits and drawbacks. Importantly, a balance of probabilities approach – where liability is established if the AI predicts a likelihood of liability greater than 50 per cent and not otherwise – is not suitable when converting a predicted outcome into an actual outcome. Adopting this approach would significantly alter the outcomes of legal cases and have a dramatic and disruptive effect upon the law. The most notable disruption would be observed in settlement behaviour and outcomes.
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概率问题
摘要:一些国家已经探索了使用人工智能系统来帮助分类积压案件和促进民事纠纷解决的想法。理论上,人工智能可以通过确定案件事实和预测纠纷结果来实现这一点。但人工智能在法庭上的使用引发了新的问题。人工智能技术有助于解决预测问题。这些解决方案通常表示为概率。法官应该如何将这些预测纳入他们的决策中?将法律结果的概率预测转换为二元法律决策显然没有正确的方法。任何这样做的方法都有好处也有缺点。重要的是,在将预测结果转化为实际结果时,概率平衡法(如果AI预测负债的可能性大于50%,则确定负债,否则不确定)是不合适的。采用这种方法将大大改变法律案件的结果,并对法律产生巨大的破坏性影响。最显著的干扰将出现在定居行为和结果方面。
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来源期刊
CiteScore
1.70
自引率
16.70%
发文量
26
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