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On Probabilistic Knowledge

Res Philosophica 97 (1):97-108 (2020)

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  1. Knowledge, algorithmic predictions, and action.Eleonora Cresto - 2024 - Asian Journal of Philosophy 3 (2):1-17.
    I discuss the epistemic status of algorithmic predictions in the legal realm. My main claim is that algorithmic predictions do not give us knowledge, not even probabilistic knowledge. The situation, however, is relevantly different from the one in which we find ourselves at the time of assessing statistical evidence in general, and it is rather related to the fact that algorithmic fairness in legal contexts is essentially undetermined. In the light of this, we have to settle for justified beliefs and (...)
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  • Belief: What is it Good for?John MacFarlane - forthcoming - Erkenntnis:1-18.
    Abstract“Absolutely nothing,” say the radical Bayesians. “Simplifying decisions,” say the moderates. “Providing premises in practical reasoning,” say the epistemologists. “Coordinating with others,” say I. It is hard to see how to construct an adequate theory of rational behavior without using a graded notion of belief, such as credence. But once we have credence, what role is left for belief? After surveying some answers to this question, I will explore the idea that belief is in a different line of work altogether. (...)
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