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  1. Introduction to the topical collection “True enough? Themes from Elgin”.Federica Isabella Malfatti - 2020 - Synthese 199 (1):1293-1305.
    This topical collection of Synthese is in honor of Catherine Z. Elgin. The idea for it arose in the context of an international book symposium dedicated to Elgin's latest book, organized by Katherine Dormandy, Christoph Jäger, and myself, which took place at the University of Innsbruck in March 2018. The topical collection comprises fourteen papers addressing a broad array of issues related to True Enough and to Elgin’s work more generally, plus a contribution by Elgin with detailed comments and replies. (...)
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  • Do We Deserve Credit for Everything We Understand?Federica Isabella Malfatti - 2021 - Episteme:1-20.
    It is widely acknowledged in the literature in social epistemology that knowledge has a social dimension: we are epistemically dependent upon one another for most of what we know. Our knowledge can be, and very often is, grounded on the epistemic achievement of somebody else. But what about epistemic aims other than knowledge? What about understanding? Prominent authors argue that understanding is not social in the same way in which knowledge is. Others can put us in the position to understand, (...)
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  • Can Tacit Know-How Be Acquired via Testimony?Abida Malik - 2023 - Grazer Philosophische Studien 100 (3):374-403.
    The role of testimony in the transmission and generation of knowledge has been debated vigorously in contemporary epistemology. More recently, types other than propositional knowledge are also being discussed, among them know-how. No special attention, however, has been paid so far to tacit forms of know-how. In this article, I am arguing for the thesis that testimony, if understood in an inclusive way, can play a central role in the transmission and generation of tacit know-how. This thesis is embedded in (...)
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  • The Deception of Certainty: how Non-Interpretable Machine Learning Outcomes Challenge the Epistemic Authority of Physicians. A deliberative-relational Approach.Florian Funer - 2022 - Medicine, Health Care and Philosophy 25 (2):167-178.
    Developments in Machine Learning (ML) have attracted attention in a wide range of healthcare fields to improve medical practice and the benefit of patients. Particularly, this should be achieved by providing more or less automated decision recommendations to the treating physician. However, some hopes placed in ML for healthcare seem to be disappointed, at least in part, by a lack of transparency or traceability. Skepticism exists primarily in the fact that the physician, as the person responsible for diagnosis, therapy, and (...)
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  • Probabilifying reflective equilibrium.Finnur Dellsén - 2024 - Synthese 203 (2):1-24.
    This paper aims to flesh out the celebrated notion of reflective equilibrium within a probabilistic framework for epistemic rationality. On the account developed here, an agent's attitudes are in reflective equilibrium when there is a certain sort of harmony between the agent's credences, on the one hand, and what the agent accepts, on the other hand. Somewhat more precisely, reflective equilibrium is taken to consist in the agent accepting, or being prepared to accept, all and only claims that follow from (...)
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