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  1. Objectification and Vision: How Images Shape Our Early Visual Processes.Alice Roberts - 2021 - Synthese 32.
    Objectification involves treating someone as a thing. The role of images in perpetuating objectification has been discussed by feminist philosophers. However, the precise effect that images have on an individual's visual system is seldom explored. Kathleen Stock’s work is an exception—she describes certain images of women as causing viewers to develop an objectifying ‘gestalt’ which is then projected onto real-life women. However, she doesn’t specify the level of visual processing at which objectification occurs. In this paper, I propose that images (...)
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  • Social-Eyes: Rich Perceptual Contents and Systemic Oppression.Dylan Ludwig - 2020 - Review of Philosophy and Psychology 11 (4):939-954.
    There is ongoing philosophical debate about the kinds of properties that are represented in visual perception. Both “rich” and “thin” accounts of perceptual content are concerned with how prior assumptions about the world influence the construction of perceptual representations. However, the idea that biased assumptions resulting from oppressive social structures contribute to the contents of perception has been largely neglected historically in this debate in the philosophy of perception. I draw on neurobiological evidence of the role of the amygdala in (...)
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  • The Specter of Normative Conflict: Does Fairness Require Inaccuracy?Rima Basu - 2020 - In Erin Beeghly & Alex Madva (eds.), An Introduction to Implicit Bias: Knowledge, Justice, and the Social Mind. Routledge. pp. 191-210.
    A challenge we face in a world that has been shaped by, and continues to be shaped by, racist attitudes and institutions is that the evidence is often stacked in favor of racist beliefs. As a result, we may find ourselves facing the following conflict: what if the evidence we have supports something we morally shouldn’t believe? For example, it is morally wrong to assume, solely on the basis of someone’s skin color, that they’re a staff member. But, what if (...)
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  • Are Algorithms Value-Free? Feminist Theoretical Virtues in Machine Learning.Gabbrielle Johnson - forthcoming - Journal Moral Philosophy.
    As inductive decision-making procedures, the inferences made by machine learning programs are subject to underdetermination by evidence and bear inductive risk. One strategy for overcoming these challenges is guided by a presumption in philosophy of science that inductive inferences can and should be value-free. Applied to machine learning programs, the strategy assumes that the influence of values is restricted to data and decision outcomes, thereby omitting internal value-laden design choice points. In this paper, I apply arguments from feminist philosophy of (...)
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  • The Structure of Bias.Gabbrielle M. Johnson - 2020 - Mind 129 (516):1193-1236.
    What is a bias? Standard philosophical views of both implicit and explicit bias focus this question on the representations one harbours, for example, stereotypes or implicit attitudes, rather than the ways in which those representations are manipulated. I call this approach representationalism. In this paper, I argue that representationalism taken as a general theory of psychological social bias is a mistake, because it conceptualizes bias in ways that do not fully capture the phenomenon. Crucially, this view fails to capture a (...)
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  • Cognitive Penetration: Inference or Fabrication?Lu Teng - forthcoming - Tandf: Australasian Journal of Philosophy:1-17.
    Cognitive penetrability refers to the possibility that perceptual experiences are influenced by our beliefs, expectations, emotions, or other personal-level mental states. In this paper, I focus on the epistemological implication of cognitive penetration and examine how exactly aetiologies matter to the justificatory power of perceptual experiences. I examine a prominent theory, according to which some cognitively penetrated perceptual experiences are like conclusions of bad inferences. Whereas one version of this theory is psychologically implausible, the other version has sceptical consequences. In (...)
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  • Algorithm and Parameters: Solving the Generality Problem for Reliabilism.Jack C. Lyons - 2019 - Philosophical Review 128 (4):463-509.
    The paper offers a solution to the generality problem for a reliabilist epistemology, by developing an “algorithm and parameters” scheme for type-individuating cognitive processes. Algorithms are detailed procedures for mapping inputs to outputs. Parameters are psychological variables that systematically affect processing. The relevant process type for a given token is given by the complete algorithmic characterization of the token, along with the values of all the causally relevant parameters. The typing that results is far removed from the typings of folk (...)
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