Psychological research has discovered that episodic memories are constructive in nature. This paper examines how, despite being constructive, episodic memories can provide us with justification for beliefs about the past. In current literature, two major approaches to memorial justification are internalist foundationalism and reliabilism. I first demonstrate that an influential version of internalist foundationalism, dogmatism, encounters problems when we compare certain types of memory construction with cognitive penetration in perception. On the other hand, various versions of reliabilism all face skeptical (...) challenges. I propose an alternative, two-factor theory that recognizes an epistemic distinction typically overlooked by dogmatism and reliabilism. Although our account leaves certain aspects unspecified, it is an important step forward. (shrink)

Recommender systems are artificial intelligence technologies, deployed by online platforms, that model our individual preferences and direct our attention to content we’re likely to engage with. As the digital world has become increasingly saturated with information, we’ve become ever more reliant on these tools to efficiently allocate our attention. And our reliance on algorithmic recommendation may, in turn, reshape us as moral agents. While recommender systems could in principle enhance our moral agency by enabling us to cut through the information (...) saturation of the internet and focus on things that matter, as they’re currently designed and implemented they’re apt to interfere with our ability to attend appropriately to morally relevant factors. In order to analyze the distinctive moral problems algorithmic recommendation poses, we develop a framework for the ethics of attention and an account of judicious attention allocation as a moral skill. We then discuss empirical evidence suggesting that attentional moral skill can be thwarted and undermined in various ways by algorithmic recommendation and related affordances of online platforms, as well as economic and technical considerations that support this concern. Finally, we consider how emerging technologies might overcome the problems we identify. (shrink)

Perceptual experiences are not immediately responsive to reasons. You see a stick submerged in a glass of water as bent no matter how much you know about light refraction. Due to this isolation from reasons, perception is traditionally considered outside the scope of epistemic evaluability as justified or unjustified. Is perception really as independent from reasons as visual illusions make it out to be? I argue no, drawing on psychological evidence from perceptual learning. The flexibility of perceptual learning is a (...) way of responding to new epistemic reasons. The resulting perceptual experiences are epistemically evaluable as justified or unjustified. (shrink)

Proponents of cognitive penetration often argue for the thesis on the basis of combined intuitions about categorical perception and perceptual learning. The claim is that beliefs penetrate perceptions in the course of learning to perceive categories. I argue that this "diachronic" penetration thesis is false. In order to substantiate a robust notion of penetration, the beliefs that enable learning must describe the particular ability that subjects learn. However, they cannot do so, since in order to help with learning they must (...) instruct learners to employ previously existing abilities. I argue that a better approach recognizes that we can have sophisticated causal precursors to perceptual learning, but that the learning process itself must operate outside of cognitive influence. (shrink)

In this paper, I defend a new theory of the nature and individuation of perceptual capacities. I argue that we need a theory of perceptual capacities to explain modal facts about what sorts of perceptual phenomenal states one can be in. I defend my view by arguing for three adequacy constraints on a theory of perceptual capacities: perceptual capacities must be individuated at least partly in terms of their place in a hierarchy of capacities, where these capacities include the senses (...) themselves; an adequate account of perceptual capacities must be sensitive to empirical considerations; and an adequate account should accommodate the nature of the capacity to perceive. I arrive at these constraints by considering how Schellenberg’s view fails, before defending and developing my alternative in line with the constraints. I defend a view on which there are few, coarse-grained perceptual capacities which can fulfil complex explanatory roles because they are evaluatively gradable on many axes. Finally, on my view, perceptual capacities bear a particularly close relation to the sensory modalities themselves. (shrink)

ABSTRACT 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 the second half of the paper, I suggest an alternative theory, drawing on recent empirical research on imagining-perception interaction and the epistemology of imagining. (shrink)

Many philosophers take experience to be an essential aspect of perceptual justification. I argue against a specific variety of such an experientialist view, namely, the Looks View of perceptual justification, according to which our visual beliefs are mediately justified by beliefs about the way things look. I describe three types of cases that put pressure on the idea that perceptual justification is always related to looks-related reasons: unsophisticated cognizers, multimodal identification, and amodal completion. I then provide a tentative diagnosis of (...) what goes wrong in the Looks View: it ascribes a specific epistemic role to beliefs about looks that is actually fulfilled by subpersonal perceptual processes. (shrink)

Does the scope of beliefs that people can form on the basis of perception remain fixed, or can it be amplified with learning? The answer to this question is important for our understanding of why and when we ought to trust experts, and also for assessing the plausibility of epistemic foundationalism. The empirical study of perceptual expertise suggests that experts can indeed enrich their perceptual experiences through learning. Yet this does not settle the epistemic status of their beliefs. One might (...) hold that the background knowledge of experts is the cause of their enriched perceptual experience – what is known as cognitive permeation – and so their subsequent beliefs are only mediately justified because they are epistemically dependent on this background knowledge. I argue against this view. Perceptual expertise is not the result of cognitive permeation but is rather the result of perceptual learning, and perceptual learning does not involve cognition in a way that entails cognitive permeation. Perceptual expertise thus provides a means of widening the scope of the immediately justified beliefs that experts can form. (shrink)

Epistemologists typically assume that the acquisition of knowledge from testimony is not threatened at the stage at which audiences interpret what proposition a speaker has asserted. Attention is instead typically paid to the epistemic status of a belief formed on the basis of testimony that it is assumed has the same content as the speaker’s assertion. Andrew Peet has pioneered an account of how linguistic context sensitivity can threaten the assumption. His account locates the threat in contexts in which an (...) audience’s evidence under-determines which proposition a speaker is asserting. I argue that Peet’s epistemic uncertainty account of the threat is mistaken and I propose an alternative. The alternative locates the threat in contexts that provide factors that give audiences a mistaken psychological certainty or confidence that a speaker has asserted a proposition she has not. (shrink)

Some kinds are both socially constructed and perceptible, such as gender and race. However, this gives rise to a puzzle that has been largely neglected in social constructionist accounts: how does culture shape and bias what we perceive? I argue that perceptual learning is the best explanation of our ability to perceive social kinds, in comparison to accounts that require a person acquire beliefs, theories, or concepts of the kind. I show how relatively simple causal factors known to influence perceptual (...) learning in the laboratory can be extended to understand how culture shapes and biases perception. This account makes clear that the process of perceptual enculturation begins at a very early age, and does not in most cases require background beliefs on the part of the learner: the causal pathways by which perceptual learning occur suffice. It has significance for our understanding of how socially constructed kinds are culturally transmitted, as well as for how such kinds might be altered through interventions. (shrink)

This paper develops an account of the opacity problem in medical machine learning (ML). Guided by pragmatist assumptions, I argue that opacity in ML models is problematic insofar as it potentially undermines the achievement of two key purposes: ensuring generalizability and optimizing clinician–machine decision-making. Three opacity amelioration strategies are examined, with explainable artificial intelligence (XAI) as the predominant approach, challenged by two revisionary strategies in the form of reliabilism and the interpretability by design. Comparing the three strategies, I argue that (...) interpretability by design is most promising to overcome opacity in medical ML. Looking beyond the individual opacity amelioration strategies, the paper also contributes to a deeper understanding of the problem space and the solution space regarding opacity in medical ML. (shrink)