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Linus Huang
University of Hong Kong
  1.  54
    Engineering Equity: How AI Can Help Reduce the Harm of Implicit Bias.Ying-Tung Lin, Tzu-Wei Hung & Linus Ta-Lun Huang - 2020 - Philosophy and Technology 34 (1):65-90.
    This paper focuses on the potential of “equitech”—AI technology that improves equity. Recently, interventions have been developed to reduce the harm of implicit bias, the automatic form of stereotype or prejudice that contributes to injustice. However, these interventions—some of which are assisted by AI-related technology—have significant limitations, including unintended negative consequences and general inefficacy. To overcome these limitations, we propose a two-dimensional framework to assess current AI-assisted interventions and explore promising new ones. We begin by using the case of human (...)
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  2.  65
    The Insularity of Anglophone Philosophy: Quantitative Analyses.Eric Schwitzgebel, Linus Ta-Lun Huang, Andrew Higgins & Ivan Gonzalez-Cabrera - 2018 - Philosophical Papers 47 (1):21-48.
    We present evidence that mainstream Anglophone philosophy is insular in the sense that participants in this academic tradition tend mostly to cite or interact with other participants in this academic tradition, while having little academic interaction with philosophers writing in other languages. Among our evidence: In a sample of articles from elite Anglophone philosophy journals, 97% of citations are citations of work originally written in English; 96% of members of editorial boards of elite Anglophone philosophy journals are housed in majority-Anglophone (...)
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  3. Model Organisms for Studying Decision-Making: A Phylogenetically Expanded Perspective.Linus Ta-Lun Huang, Leonardo Bich & William Bechtel - 2021 - Philosophy of Science 88 (5):1055-1066.
    This article explores the use of model organisms in studying the cognitive phenomenon of decision-making. Drawing on the framework of biological control to develop a skeletal conception of decision-making, we show that two core features of decision-making mechanisms can be identified by studying model organisms, such as E. coli, jellyfish, C. elegans, lamprey, and so on. First, decision mechanisms are distributed and heterarchically structured. Second, they depend heavily on chemical information processing, such as that involving neuromodulators. We end by discussing (...)
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  4.  49
    To Mask or Not to Mask.Hsiang-Yun Chen, Li-an Yu & Linus Ta-Lun Huang - 2021 - Techné: Research in Philosophy and Technology 25 (3):503-512.
    Reluctance to adopt mask-wearing as a preventive measure is widely observed in many Western societies since the beginning of the COVID-19 pandemics. This reluctance toward mask adoption, like any other complex social phenomena, will have multiple causes. Plausible explanations have been identified, including political polarization, skepticism about media reports and the authority of public health agencies, and concerns over liberty, amongst others. In this paper, we propose potential explanations hitherto unnoticed, based on the framework of epistemic injustice. We show how (...)
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  5.  16
    More Dynamical and More Symbiotic: Cortico-Striatal Models of Resolve, Suppression, and Routine Habit.Linus Ta-Lun Huang - 2021 - Behavioral and Brain Sciences 44.
    I extend Ainslie's core claims with three cortico-striatal models that respectively subserve the key constructs of resolve, suppression, and routine habit. I show that these models suggest a more dynamical and symbiotic relation among the constructs: there are more ways they interact to reinforce willpower, and the temporal dimension of the interactions can often determine the effectiveness of the reinforcement.
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  6.  36
    Can Massive Modularity Explain Human Intelligence? Information Control Problem and Implications for Cognitive Architecture.Linus Ta-Lun Huang - 2021 - Synthese 198 (9):8043-8072.
    A fundamental task for any prospective cognitive architecture is information control: routing information to the relevant mechanisms to support a variety of tasks. Jerry Fodor has argued that the Massive Modularity Hypothesis cannot account for flexible information control due to its architectural commitments and its reliance on heuristic information processing. I argue instead that the real trouble lies in its commitment to nativism—recent massive modularity models, despite incorporating mechanisms for learning and self-organization, still cannot learn to control information flexibly enough. (...)
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  7.  10
    Philosophy of Neuroscience.William Bechtel & Linus Ta-Lun Huang - 2022 - Cambridge: Cambridge University Press.
    This Element provides a comprehensive introduction to philosophy of neuroscience. It covers such topics as how neuroscientists procure knowledge, including not just research techniques but the use of various model organisms. It presents examples of knowledge acquired in neuroscience that are then employed to discuss more philosophical topics such as the nature of explanations developed in neuroscience, the different conception of levels employed in discussions of neuroscience, and the invocation of representations in neuroscience explanations. The text emphasizes the importance of (...)
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