In this paper, we will re-elaborate the notions of filter bubble and of echo chamber by considering human cognitive systems’ limitations in everyday interactions and how they experience digital technologies. Researchers who applied the concept of filter bubble and echo chambers in empirical investigations see them as forms of algorithmically-caused systems that seclude the users of digital technologies from viewpoints and opinions that oppose theirs. However, a significant majority of empirical research has shown that users do find and interact with (...) opposing views. Furthermore, we argue that the notion of filter bubble overestimates the social impact of digital technologies in explaining social and political developments without considering the not-only-technological circumstances of online behavior and interaction. This provides us with motivation to reconsider this notion’s validity and re-elaborate it in light of existing epistemological theories that deal with the discomfort people experience when dealing with what they do not know. Therefore, we will survey a series of philosophical reflections regarding the epistemic limitations of human cognitive systems. In particular, we will discuss how knowledge and mere belief are phenomenologically indistinguishable and how people’s experience of having their beliefs challenged is cause of epistemic discomfort. We will then go on to argue, in contrast with Pariser’s assumptions, that digital media users might tend to conform to their held viewpoints because of the “immediate” way they experience opposing viewpoints. Since online people experience others and their viewpoints as material features of digital environments, we maintain that this modality of confronting oneself with contrasting opinions prompts users to reinforce their preexisting beliefs and attitudes. (shrink)

In this paper, I argue that accurate indexical representations have been crucial for the survival and reproduction of homo sapiens sapiens. Specifically, I want to suggest that reliable processes have been selected for because of their indirect, but close, connection to true belief during the Pleistocene hunter-gatherer period of our ancestral history. True beliefs are not heritable, reliable processes are heritable. Those reliable processes connected with reasoning take the form of Darwinian Algorithms: a plethora of specialized, domain-specific inference rules designed (...) to solve specific, recurrent, adaptive problems in social exchange contexts. Humans do not reason logically, but adaptively. (shrink)

In various essays, Paul Churchland explores the relevance of studies in cognitive science to issues in ethics. What emerges is a kind of ethical naturalism that has two components. The first component is a descriptive‐genealogical one whose purpose is to explain how people come to have their ethical beliefs. The second component is a normative one whose purpose is to explain why some values are better than other values. Given this distinction, the problem of integrating ethics with beliefs about the (...) world is a consequence of the traditional view that it is possible to naturalize descriptive‐genealogical ethics but not normative ethics. With this distinction as background, I critically examine Churchland's exploration of cognitive science's contribution to our understanding of the values and purposes that should direct our lives. The conclusion is twofold. First, using concepts from the American pragmatists, I argue that, pace Churchland, it is possible to bridge the descriptive‐normative gap in order to articulate an ethical naturalism that addresses the so‐called naturalistic fallacy but is not committed to an unpalatable relativism. Second, I argue that the sort of ethical naturalism that emerges has affinities to the postmodern ethics of Jean‐François Lyotard. (shrink)