In this paper, I defend the view that it is wrong for us to consume only, or overwhelmingly, media that broadly aligns with our own political viewpoints: that is, it is wrong to be politically “partisan” in our decisions about what media to consume. We are obligated to consume media that aligns with political viewpoints other than our own – to “diversify our sources”. This is so even if our own views are, as a matter of fact, substantively correct.

This chapter proceeds from the standard picture of the relation between intuitions and experimental philosophy: the alleged evidential role of intuitions about hypothetical cases, and experimental philosophy’s challenge to these judgments, based on their variation with philosophically irrelevant factors. I will survey some of the main defenses of this standard picture against the x-phi challenge, most of which fail. Concerning the most popular defense, the expertise defense, I will draw the bleak conclusion that intuitive expertise of the envisaged kind is (...) largely a myth. Next, I will consider the mischaracterization objection, which has mainly been developed by Deutsch and Cappelen on the basis of textual evidence: that philosophers do not appeal to intuitions as evidence for their case judgments, but instead argue for them. This would render the x-phi challenge mostly irrelevant, due to its focus on intuitions about hypothetical cases. I will then consider a few instructive replies to the mischaracterization objection, which are all unconvincing on further inspection. Finally, I will discuss some potential normative consequences of the mischaracterization objection, and I will argue that it recommends a shift away from the excessive focus on intuitions about cases in metaphilosophy and experimental philosophy, towards more work on the role of argumentation in the method of cases. More speculatively, I claim that philosophers should always argue for their case judgments, even if they have strong intuitions about them, because an argument-based methodology would be more transparent and philosophically fruitful than one that mainly relies on intuition. (shrink)

An epistemologist tells you that knowledge is more than justified true belief. You trust them and thus come to believe this on the basis of their testimony. Did you thereby come to know that this view is correct? Intuitively, there is something intellectually wrong with forming philosophical beliefs on the basis of testimony, and yet it's hard to see why philosophy should be significantly epistemically different from other areas of inquiry in a way that would fully prohibit belief by testimony. (...) This, I argue, is the puzzle of philosophical testimony. In this paper, I explore the puzzle of philosophical testimony and its ramifications. In particular, I examine the case for pessimism about philosophical testimony—the thesis that philosophical belief on the basis of testimony is impossible or is in some way illegitimate—and I argue that it lacks adequate support. I then consider whether the source of the apparent intellectual wrongness of testimonial‐based philosophical belief is grounded in non‐epistemic norms and goals of philosophical practice itself and argue that such norms are implausible, don't conflict with testimonial‐based philosophical belief, or else are mere disciplinary norms, lacking substantial normative force that would make it wrong to form testimonial‐based philosophical belief. (shrink)

Citizen science projects have started to utilize Machine Learning to sort through large datasets generated in fields like astronomy, ecology and biodiversity, biology, and neuroimaging. Human–machine systems have been created to take advantage of the complementary strengths of humans and machines and have been optimized for efficiency and speed. We conducted qualitative content analysis on meta-summaries of documents reporting the results of 12 citizen science projects that used machine learning to optimize classification tasks. We examined the distribution of tasks between (...) citizen scientists, experts, and algorithms, and how epistemic agency was enacted in terms of whose knowledge shapes the distribution of tasks, who decides what knowledge is relevant to the classification, and who validates it. In our descriptive results, we found that experts, who include professional scientists and algorithm developers, are involved in every aspect of a project, from annotating or labelling data to giving data to algorithms to train them to make decisions from predictions. Experts also test and validate models to improve their accuracy by scoring their outputs when algorithms fail to make correct decisions. Experts are mostly the humans involved in a loop, but when algorithms encounter problems, citizens are also involved at several stages. In this paper, we present three main examples of citizens-in-the-loop: when algorithms provide incorrect suggestions; when algorithms fail to know how to perform classification; and when algorithms pose queries. We consider the implications of the emphasis on optimization on the ideal of science and the role of citizen scientists from a perspective informed by Science and Technology Studies and Information Systems. Based on our findings, we conclude that ML in CS classification projects, far from being deterministic in its nature and effects, may be open to question. There is no guarantee that these technologies can replace citizen scientists, nor any guarantee that they can provide citizens with opportunities for more interesting tasks. (shrink)

The recent literature on the epistemology of disagreement focuses on the rational response question: how are you rationally required to respond to a doxastic disagreement with someone, especially with someone you take to be your epistemic peer? A doxastic disagreement with someone also confronts you with a slightly different question. This question, call it the epistemic trust question, is: how much should you trust our own epistemic faculties relative to the epistemic faculties of others? Answering the epistemic trust question is (...) important for the epistemology of disagreement because it sheds light on the rational response question. My main aim in this paper is to argue—against recent attempts to show otherwise—that epistemic self-trust does not provide a reason for remaining steadfast in doxastic disagreements with others. (shrink)

This paper attempts to answer two questions: What is epistemic agency? And what are the motivations for having this concept? In response to the first question, it is argued that epistemic agency is the agency one has over one’s belief-forming practices, or doxastic dispositions, which can directly affect the way one forms a belief and indirectly affect the beliefs one forms. In response to the second question, it is suggested that the above conception of epistemic agency is either implicitly endorsed (...) by those theorists sympathetic to epistemic normativity or, at minimum, this conception can make sense of the legitimacy of the normative notions applicable to how and what one should believe. It is further contended that belief formation in some respects is a skill that can be intentionally developed and refined. Accepting this contention and the existence of certain epistemic norms provide inconclusive yet good reasons to endorse this concept. Recent challenges to this concept by Hillary Kornblith and Kristoffer Ahlstrom-Vij are also considered. (shrink)

It is widely believed that democracies require knowledgeable citizens to function well. But the most politically knowledgeable individuals also tend to be the most partisan, and the strength of partisan identity tends to corrupt political thinking. This creates a conundrum. On the one hand, an informed citizenry is allegedly necessary for a democracy to flourish. On the other hand, the most knowledgeable and passionate voters are also the most likely to think in corrupted, biased ways. What to do? This paper (...) examines this tension and draws out several lessons. First, it is not obvious that more knowledgeable voters will make better political decisions. Second, attempts to remedy voter ignorance are problematic because partisans tend to become more polarized when they acquire more information. Third, solutions to citizen incompetence must focus on the intellectual virtue of objectivity. Fourth, some forms of epistocracy are troubling, in part, because they would increase the political power of the most dogmatic and biased individuals. Fifth, a highly restrictive form of epistocracy may escape the problem of political dogmatism, but epistocrats may face a steeper tradeoff between inclusivity and epistemic virtue than many would like. (shrink)

The concept of adversariality, like that of argument, admits of significant variation. As a consequence, I argue, the question of adversarial argument has not been well understood. After defining adversariality, I argue that if we take argument to be about beliefs, rather than commitments, then two considerations show that adversariality is an essential part of it. First, beliefs are not under our direct voluntary control. Second, beliefs are costly both for the psychological states they provoke and for the fact that (...) they are causally related to our actions. As a result, argument involving agreement can also be understood to be adversarial. (shrink)

It is a well-established fact that we tend to underestimate our susceptibility to cognitive bias on account of overconfidence, and thereby often fail to listen to intellectual advice aimed at reducing such bias. This is the problem of intellectual deference. The present paper considers this problem in contexts where educators attempt to teach students how to avoid bias for purposes of instilling epistemic virtues. It is argued that recent research in social psychology suggests that we can come to terms with (...) this problem in two steps, the second of which involves educators communicating their intellectual advice in a procedurally just manner. The components of the relevant form of procedural justice are specified and related to Miranda Fricker and David Coady’s notions of epistemic justice. Finally, a series of objections are considered and responded to. (shrink)

Survey data suggest that many philosophers arereliabilists, in believing that beliefs are justified iff produced by a reliable process. This is bad news if reliabilism is true. Empirical results suggest that a commitment to reliable belief-formation leads to overconfident second-guessing of reliable heuristics. Hence, a widespread belief in reliabilism is likely to be epistemically detrimental by the reliabilist's own standard. The solution is a form of two-level epistemic consequentialism, where an esoteric commitment to reliabilism will be appropriate for an enlightened (...) few, while a form of epistemic fetishism – on which some heuristics are treated as fundamental epistemic norms – is appropriate for the rest of us. (shrink)

This paper outlines a new type of skepticism that is both compatible with fallibilism and supported by work in psychology. In particular, I will argue that we often cannot properly trust our ability to rationally evaluate reasons, arguments, and evidence (a fundamental knowledge-seeking faculty). We humans are just too cognitively impaired to achieve even fallible knowledge, at least for many beliefs.

The aim of this paper is to (i) examine the concept of epistemic paternalism and (ii) explore the consequences of normative questions one might ask about it. I begin by critically examining several definitions of epistemic paternalism that have been proposed, and suggesting ways they might be improved. I then contrast epistemic and general paternalism and argue that it’s difficult to see what makes epistemic paternalism an epistemic phenomenon at all. Next, I turn to the various normative questions one might (...) ask about epistemic paternalism and discuss the literature’s assumptions of epistemic consequentialism and veritism. I close by comparing and contrasting epistemic paternalism with other topics in social epistemology, such as disagreement or testimony. (shrink)

The article develops and justifies, on the basis of the epistemological argumentation theory, two central pieces of the theory of evaluative argumentation interpretation: 1. criteria for recognizing argument types and 2. rules for adding reasons to create ideal arguments. Ad 1: The criteria for identifying argument types are a selection of essential elements from the definitions of the respective argument types. Ad 2: After presenting the general principles for adding reasons (benevolence, authenticity, immanence, optimization), heuristics are proposed for finding missing (...) reasons, for deductive arguments, e.g., semantic tableaux are suggested. (shrink)