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  1. Big Data and the reference class problem: What can we legitimately infer about individuals.Catherine Greene - 2019 - Computer Ethics- Philosophical Inquiry (CEPE) Proceedings 1 (2019).
    Big data increasingly enables prediction of the behaviour and characteristics of individuals. This is ethically concerning on privacy grounds. However, this article discusses other reasons for concern. These predictions usually rely on generalisations about what certain sorts of people tend to do. Generalisations of this sort are often under scrutiny in legal cases, where, for example, lawyers argue that people with prior convictions are more likely to be guilty of the crime they are currently on trial for. This article applies (...)
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  • Causal models versus reason models in Bayesian networks for legal evidence.Eivind Kolflaath & Christian Dahlman - 2022 - Synthese 200 (6).
    In this paper we compare causal models with reason models in the construction of Bayesian networks for legal evidence. In causal models, arrows in the network are drawn from causes to effects. In a reason model, the arrows are instead drawn towards the evidence, from factum probandum to factum probans. We explore the differences between causal models and reason models and observe several distinct advantages with reason models. Reason models are better aligned with the philosophy of Bayesian inference, as they (...)
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