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Plantinga’s Interpretation of Epistemological Deontologism
Roczniki Filozoficzne, 2022 Alvin Plantinga challenges the rooted tradition of thinking about justification as the subject’s fulfillment of his or her epistemic duty. I try to show that, in several respects, Plantinga misinterprets the idea of epistemic duties and that ...
Ewa Odoj
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Is the Volume of a Credal Set a Good Measure for Epistemic Uncertainty? [PDF]
Conference on Uncertainty in Artificial Intelligence, 2023 Adequate uncertainty representation and quantification have become imperative in various scientific disciplines, especially in machine learning and artificial intelligence. As an alternative to representing uncertainty via one single probability measure,
Yusuf Sale +2 more
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Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are Conditional Entropy and Mutual Information Appropriate Measures? [PDF]
Conference on Uncertainty in Artificial Intelligence, 2022 The quantification of aleatoric and epistemic uncertainty in terms of conditional entropy and mutual information, respectively, has recently become quite common in machine learning.
Eyke Hüllermeier
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Where is knowledge from the global South? An account of epistemic justice for a global bioethics
Journal of Medical Ethics, 2023 The silencing of the epistemologies, theories, principles, values, concepts and experiences of the global South constitutes a particularly egregious epistemic injustice in bioethics.
Bridget Pratt, J. de Vries
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PLoS ONE, 2023 The construct of epistemic trust has received much consideration in recent psychological literature, even though mainly from a theoretical perspective.
M. Liotti +9 more
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Research in psychotherapy, 2023 Originally rooted in philosophy and sociology, the concept of epistemic trust has recently transitioned to developmental psychopathology, illuminating social-cognitive processes in psychopathology.
Elizabeth Li +3 more
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Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods [PDF]
Machine-mediated learning, 2019 The notion of uncertainty is of major importance in machine learning and constitutes a key element of machine learning methodology. In line with the statistical tradition, uncertainty has long been perceived as almost synonymous with standard probability
Eyke Hüllermeier, W. Waegeman
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The digital transformation of knowledge order: a model for the analysis of the epistemic crisis
Annals of the International Communication Association, 2023 In a proclaimed age of ‘post-truth,’ scholars have raised concerns about the spread of false information and the questioning of epistemic authorities. In this paper, we develop an analytical model to capture the digital transformation of knowledge order.
C. Neuberger +5 more
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Language and Education, 2023 Informed by a combined framework of ‘translanguaging’ and ‘epistemic injustice’, this paper examines how a group of teachers and students from diverse linguistic and cultural backgrounds negotiated their knowledge participation through translanguaging in
Yongyan Zheng, Yixi Qiu
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All things considered duties to believe
Synthese, 2010 To be a doxastic deontologist is to claim that there is such a thing as an ethics of belief (or of our doxastic attitudes in general). In other words, that we are subject to certain duties with respect to our doxastic attitudes, the non-compliance with ...
A. Booth
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