Work on representing women's voices in ethics has produced a vision of moral understanding profoundly subversive of the traditional philosophical conception of moral knowledge. 1 explicate this alternative moral “epistemology,” identify how it challenges the prevailing view, and indicate some of its resources for a liberatory feminist critique of philosophical ethics.

Este artículo presenta a Weber y Habermas como los umbrales o polos de una modernidad que tiene al progreso como horizonte teórico-práctico. El diagnóstico weberiano sobre la modernidad y su proceso de desencantamiento del mundo y la injustificada reducción de la actividad racional a una actividad utilitario-estratégica desprovista de su carácter veritativo y de su orientación valórica, Habermas la utiliza para justificar su propuesta teórico-crítica respecto a la modernidad y la "paradoja de la racionalización", distinguiendo "sistema" y "mundo vital". Aquí (...) "desencantamiento del mundo" y "consenso del proyecto de lamodernidad", se encuentranThis article presents Weber and Habermas like the thresholds or poles of a modernity that has to the progress as theoretical- practical horizon. The diagnosis weberiano on the modernity and his process of disenchantment of the world and the unjustified reduction of the rational activity to a utilitarian-strategic activity devoid of his character of truth, Habermas uses to justify his theoretical-critical offerwith regard to themodernity and the "paradox of the rationalization", distinguishing "system" and "vital world". Here "disenchantment of the world" and "consensus of the project of the modernity", they are. (shrink)

Frege begins Die Grundlagen der Arithmetik, the work that introduces the project which was to occupy him for most of his professional career, with the question, 'What is the number one?' It is a question to which even mathematicians, he says, have no satisfactory answer. And given this scandalous situation, he adds, there is small hope that we shall be able to say what number is. Frege intends to rectify the situation by providing definitions of the number one and the (...) concept of number. But what, exactly, is required of a definition? Surely it will not do to stipulate that the number one is Julius Caesar - that would change the subject. It seems reasonable to suppose that an acceptable definition must be a true statement containing a description that picks out the object to which the numeral '1' already refers. And, similarly, that an acceptable definition of the concept of number must contain a description that picks out precisely those objects that are numbers - those objects to which our numerals refer. Yet, while Frege writes a great deal about what criteria his definitions must satisfy, the above criteria are not among those he mentions. Nor does he attempt to convince us that his definitions of '1' and the other numerals are correct by arguing that these definitions pick out objects to which these numerals have always referred. Yet, while Frege writes a great deal about what criteria his definitions must satisfy, the above criteria are not among those he mentions. Nor does he attempt to convince us that his definitions of ‘1’ and the other numerals are correct by arguing that these definitions pick out objects to which these numerals have always referred. There is, as we shall see shortly, a great deal of evidence that Frege’s definitions are not intended to pick out objects to which our numerals already refer. But if this is so, how can these definitions teach us anything about our science of arithmetic? And what criteria must these definitions satisfy? To answer these questions, we need to understand what it is that Frege thinks we need to learn about the science of arithmetic. (shrink)

A case in point is Frank Jackson’s talk of “conceptual possibility” and “conceptual necessity.” He writes as if the issue between us is the relative methodological priority for philosophy of conceptual modalities and metaphysical modalities. In addition to the uncritical reliance on conceptual modality, another fallacy is surfacing. Paul Boghossian developed an epistemology of logic based on understanding‐assent links corresponding to fundamental rules of logic. His paradigm was modus ponens: a necessary condition for understanding “if” was supposed to (...) be willingness to assent to inferences by modus ponens involving “if.” Boghossian objects that Simon’s tolerance of assent to gappy statements undermines the presumption that he is assenting to them as true. In Nenad Miscevic paper, such competencies are postulated for the linguistic, spatial‐geometric, mathematical, metaphysical, epistemological, and moral domains. Thus Miscevic auxiliary modularity‐independent characterization offers little help in demarcating a useful category of intuition. (shrink)

Drawing together the ideas, practices, and techniques associated with the subject, this book puts them in historical context and demonstrates their relevance to ...

I argue against a prevailing interpretation of Schopenhauer’s account of inner awareness and world-understanding. Because scholars have typically taken on board the assumption that inner awareness is non-representational, they have concerned themselves in the main with how to transfer this immediate cognition of will in ourselves and apply it to our understanding of the world–as–representation. Some scholars propose that the relation of the world-as-will to the world-as-representation is to be understood in figurative or metaphorical terms. I disagree because, (...) for Schopenhauer, inner awareness reveals a genuine philosophical truth. Some scholars also suggest that it is only via analogical transference that one can interpret the world as having the same inner nature as oneself. I disagree and point out the downside of this suggestion. I use both textual evidence and general philosophical considerations to demonstrate that inner awareness, for Schopenhauer, has a representational dimension. Overlooking this point has led scholars to misconstrue how inner awareness relates to world-understanding. I provide an alternative interpretation against figurative and analogical readings. I propose that, for Schopenhauer, we cognize partially a priori that all things are merely different expressions of the same activity that we are acquainted with in inner awareness. (shrink)

If understanding is factive, the propositions that express an understanding are true. I argue that a factive conception of understanding is unduly restrictive. It neither reflects our practices in ascribing understanding nor does justice to contemporary science. For science uses idealizations and models that do not mirror the facts. Strictly speaking, they are false. By appeal to exemplification, I devise a more generous, flexible conception of understanding that accommodates science, reflects our practices, and shows a (...) sufficient but not slavish sensitivity to the facts. (shrink)

This is a revised edition of Walker's well-known book in feminist ethics first published in 1997. Walker's book proposes a view of morality and an approach to ethical theory which uses the critical insights of feminism and race theory to rethink the epistemological and moral position of the ethical theorist, and how moral theory is inescapably shaped by culture and history. The main gist of her book is that morality is embodied in "practices of responsibility" that express our identities, values, (...) and connections to others in socially patterned ways. Thus ethical theory needs to be empirically informed and politically critical to avoid reiterating forms of socially entrenched bias. Responsible ethical theory should reveal and question the moral significance of social differences. The book engages with, and challenges, the work of contemporary analytic philosophers in ethics. Moral Understandings has been influential in reaching a global audience in ethics and feminist philosophy, as well as in tangential fields like nursing ethics; research ethics; disability ethics; environmental ethics, and social and political theory. This revised edition contains a new preface, a substantive postscript to Chapter 1 about "the subject of moral philosophy"; the addition of a new chapter on the importance of emotion in practices of responsibility; and the addition of an afterword, which responds to critics of the book. (shrink)

Several recent epistemologists have used understanding-assent links in theories of a priori knowledge and justification, but Williamson influentially argued against the existence of such links. Here I (1) clarify the nature of understanding-assent links and their role in epistemology; (2) clarify and clearly formulate Williamson’s arguments against their existence; (3) argue that Williamson has failed to successfully establish his conclusion; and (4) rebut Williamson’s claim that accepting understanding-assent links amounts to a form of dogmatism.

Schopenhauer is famously abusive toward his philosophical contemporary and rival, Friedrich William Joseph von Schelling. This chapter examines the motivations for Schopenhauer’s immoderate attitude and the substance behind the insults. It looks carefully at both the nature of the insults and substantive critical objections Schopenhauer had to Schelling’s philosophy, both to Schelling’s metaphysical description of the thing-in-itself and Schelling’s epistemic mechanism of intellectual intuition. It concludes that Schopenhauer’s substantive criticism is reasonable and that Schopenhauer does in fact avoid Schelling’s errors: (...) still, the vehemence of the abuse is best perhaps explained by the proximity of their philosophies, not the distance. Indeed, both are developing metaphysics of will with full and conflicted awareness of the Kantian epistemic strictures against metaphysics. In view of this, Schopenhauer is particularly concerned to mark his own project as legitimate by highlighting the manner in which he avoids Schelling’s errors. (shrink)

Simple idealized models seem to provide more understanding than opaque, complex, and hyper-realistic models. However, an increasing number of scientists are going in the opposite direction by utilizing opaque machine learning models to make predictions and draw inferences, suggesting that scientists are opting for models that have less potential for understanding. Are scientists trading understanding for some other epistemic or pragmatic good when they choose a machine learning model? Or are the assumptions behind why minimal models provide (...) understanding misguided? In this paper, using the case of deep neural networks, I argue that it is not the complexity or black box nature of a model that limits how much understanding the model provides. Instead, it is a lack of scientific and empirical evidence supporting the link that connects a model to the target phenomenon that primarily prohibits understanding. (shrink)

In recent years there has been a resurgence of interest among epistemologists in the nature of understanding, with some authors arguing that understanding should replace knowledge as the primary focus of epistemology. But what is understanding? According to what is often called the standard view, understanding is a species of knowledge. Although this view has recently been challenged in various ways, even the critics of the standard view have assumed that understanding requires justification and belief. (...) I argue that it requires neither. If sound, these arguments have important upshots not only for the nature of understanding, but also for its distinctive epistemic value and its role in contemporary epistemology. (shrink)

Scientific understanding, this paper argues, can be analyzed entirely in terms of a mental act of “grasping” and a notion of explanation. To understand why a phenomenon occurs is to grasp a correct explanation of the phenomenon. To understand a scientific theory is to be able to construct, or at least to grasp, a range of potential explanations in which that theory accounts for other phenomena. There is no route to scientific understanding, then, that does not go by (...) way of scientific explanation. (shrink)

It is time to transcend the arid debate between rationality and ir-, a-, or non-rationality as our basic assumption about human agency.1 There are powerful arguments and extensive evidence both for and against the rationality assumption, with heavily defended entrenchments on both sides. Managers and management scholars continually make at least tacit assumptions about how they expect others to behave. If only we could have in both theory and practice the coherence and precision of rational models as well as the (...) descriptive richness of ‘behavioural’ approaches. The message of this paper is that perhaps we can. The advent of consciousness studies and, more recently, neuroeconomics would seem to indicate the way forward to transcend the opposition in some kind of synthesis. This paper investigates rationality in the light of Daniel Dennett’s thesis that it is at the core of all intentionality that is the defining characteristic of mental phenomena. Neuroeconomics seeks to enhance understanding of agency by investigating new insights on the materialist basis of mental phenomenology in the neurophysiology of the brain and nervous system. Experimental evidence mapping intentional states onto neurophysiological states is emerging, some researchers even claiming to have found a ‘neurophysiological utility function’. Dennett closes the circuit by locating the existence of brain-hardware supporting satisficing intentional choice and action as the output of evolutionary ‘design’. The dichotomy is transcended: satisficing models (of which normative optimising rational choice models are a reasonable abstraction) are a good basis both for statistical prediction of the behaviour of large numbers, and as the first base on which to construct and refine a model of expectation-formation about particular types of agent and then of individual agents. Using both the old (‘external’) and the new (sub-individual) behaviourism as well as work on unpacking the abstract notion of rationality, we can concretise optimising rational choice both generally, for epistemic theory-building purposes, and specifically for understanding and deploying models of managerial agency. Such models will need to incorporate emotion with cognition in an integrated approach. (shrink)

This entry offers a critical overview of the contemporary literature on understanding, especially in epistemology and the philosophy of science.

Understanding is a central aim of science and highly important in present-day society. But what precisely is scientific understanding and how can it be achieved? This book answers these questions, through philosophical analysis and historical case studies, and presents a philosophical theory of scientific understanding that highlights its contextual nature.

As family physicians, general practitioners play a key role in safeguarding children. Should they suspect child abuse or neglect they may experience a conflict between responding to the needs and interests of the child and those of an adult patient. English law insists on the paramountcy of the interests of the child, but in family practice many other interests may be at stake. The authors argue that uncritical adoption of the paramountcy principle is too simplistic and can lead, paradoxically, to (...) greater harm. They argue for a more subtle and nuanced view of interests and of conflicts of interest in safeguarding children. (shrink)

Science is replete with falsehoods that epistemically facilitate understanding by virtue of being the very falsehoods they are. In view of this puzzling fact, some have relaxed the truth requirement on understanding. I offer a factive view of understanding that fully accommodates the puzzling fact in four steps: (i) I argue that the question how these falsehoods are related to the phenomenon to be understood and the question how they figure into the content of understanding it (...) are independent. (ii) I argue that the falsehoods do not figure into the understanding’s content by being elements of its periphery or core. (iii) Drawing lessons from case studies, I argue that the falsehoods merely enable understanding. When working with such falsehoods, only the truths we extract from them are elements of the content of our understanding. (iv) I argue that the extraction view is compatible with the thesis that falsehoods can have an epistemic value by virtue of being the very falsehoods they are. (shrink)

A model of writing in cognitive development, Understanding the Representational Mind synthesizes the burgeoning literature on the child’s theory of mind to provide an integrated account of children’s understanding of representational and mental processes, which is crucial in their acquisition of our commonsense psychology. Perner describes experimental work on children’s acquisition of a theory of mind and representation, offers a theoretical account of this acquisition, and gives examples of how the increased sophistication in children’s theory of mind improves (...) their understanding of social interaction and how, in the case of autistic children, an impairment results in social ineptitude. He analyzes the concepts of representation and metarepresentation as they appear in current discussion in the philosophy of cognitive science and explains how the unfolding of mental representation enables infants to comprehend change over time, engage in pretence, and use representational systems like pictures and language. Perner goes on to show that around age four children become able to understand the representational nature of pictures and language and to distinguish appearance from reality. Introducing basic distinctions in philosophy of mind for characterizing the mental, Perner discusses differences in how commonsense and cognitive psychology view the mind. Tracing the onset of a commonsense psychology in the social and emotional awareness of early infancy, he reveals how the child begins to take a cognitive, representational view of the mind with repercussions for children’s episodic memory, self control, and their ability to engage in deception. Perner concludes by describing the observed developmental changes as a case of theory change And contrasts his thesis with competing proposals. Josef Perner is Lecturer in Experimental Psychology at Sussex University, Brighton, England. (shrink)

To understand something involves some sort of commitment to a set of propositions comprising an account of the understood phenomenon. Some take this commitment to be a species of belief; others, such as Elgin and I, take it to be a kind of cognitive policy. This paper takes a step back from debates about the nature of understanding and asks when this commitment involved in understanding is epistemically appropriate, or ‘acceptable’ in Elgin’s terminology. In particular, appealing to lessons (...) from the lottery and preface paradoxes, it is argued that this type of commitment is sometimes acceptable even when it would be rational to assign arbitrarily low probabilities to the relevant propositions. This strongly suggests that the relevant type of commitment is sometimes acceptable in the absence of epistemic justification for belief, which in turn implies that understanding does not require justification in the traditional sense. The paper goes on to develop a new probabilistic model of acceptability, based on the idea that the maximally informative accounts of the understood phenomenon should be optimally probable. Interestingly, this probabilistic model ends up being similar in important ways to Elgin’s proposal to analyze the acceptability of such commitments in terms of ‘reflective equilibrium’. (shrink)

UNDERSTANDING SCIENTIFIC REASONING develops critical reasoning skills and guides students in the improvement of their scientific and technological literacy. The authors teach students how to understand and critically evaluate the scientific information they encounter in both textbooks and the popular media. With its focus on scientific pedagogy, UNDERSTANDING SCIENTIFIC REASONING helps students learn how to examine scientific reports with a reasonable degree of sophistication. The book also explains how to reason through case studies using the same informal logic (...) skills employed by scientists and to analyze a complex series of propositions and hypotheses using sound scientific reasoning. (shrink)

First published in 1998. Routledge is an imprint of Taylor & Francis, an informa company.

Work on representing women's voices in ethics has produced a vision of moral understanding profoundly subversive of the traditional philosophical conception of moral knowledge. 1 explicate this alternative moral “epistemology,” identify how it challenges the prevailing view, and indicate some of its resources for a liberatory feminist critique of philosophical ethics.

Work on representing women's voices in ethics has produced a vision of moral understanding profoundly subversive of the traditional philosophical conception of moral knowledge. I explicate this alternative moral "epistemology," identify how it challenges the prevailing view, and indicate some of its resources for a liberatory feminist critique of philosophical ethics.

Moral understanding is a valuable epistemic and moral good. I argue that moral understanding is the ability to know right from wrong. I defend the account against challenges from nonreductionists, such as Alison Hills, who argue that moral understanding is distinct from moral knowledge. Moral understanding, she suggests, is constituted by a set of abilities: to give and follow moral explanations and to draw moral conclusions. I argue that Hills’s account rests on too narrow a conception (...) of moral understanding. Among other things, it cannot account for the importance of first-personal experience for achieving moral understanding. (shrink)

Understanding Institutions proposes a new unified theory of social institutions that combines the best insights of philosophers and social scientists who have written on this topic. Francesco Guala presents a theory that combines the features of three influential views of institutions: as equilibria of strategic games, as regulative rules, and as constitutive rules. -/- Guala explains key institutions like money, private property, and marriage, and develops a much-needed unification of equilibrium- and rules-based approaches. Although he uses game theory concepts, (...) the theory is presented in a simple, clear style that is accessible to a wide audience of scholars working in different fields. Outlining and discussing various implications of the unified theory, Guala addresses venerable issues such as reflexivity, realism, Verstehen, and fallibilism in the social sciences. He also critically analyses the theory of “looping effects” and “interactive kinds” defended by Ian Hacking, and asks whether it is possible to draw a demarcation between social and natural science using the criteria of causal and ontological dependence. Focusing on current debates about the definition of marriage, Guala shows how these abstract philosophical issues have important practical and political consequences. -/- Moving beyond specific cases to general models and principles, Understanding Institutions offers new perspectives on what institutions are, how they work, and what they can do for us. (shrink)

What is the primary intellectual aim of philosophy? The standard view is that philosophy aims to provide true answers to philosophical questions. But if our aim is to settle controversy by answering such questions, our discipline is an embarrassing failure. Moreover, taking philosophy to aim at providing true answers to these questions leads to a variety of puzzles: How do we account for philosophical expertise? How is philosophical progress possible? Why do job search committees not care about the truth or (...) falsity of a candidate’s philosophical views? We argue that philosophy does not aim at discovering true answers to philosophical questions. Instead, its primary intellectual aim is understanding. We argue that many familiar aspects of philosophy become intelligible once we accept this hypothesis. (shrink)

Moral understanding is a species of knowledge. Understanding why an action is wrong, for example, amounts to knowing why the action is wrong. The claim that moral understanding is immune to luck while moral knowledge is not does not withstand scrutiny; nor does the idea that there is something deep about understanding for there are different degrees of understanding. It is also mistaken to suppose that grasping is a distinct psychological state that accompanies understanding. (...) To understand why something is the case is to grasp or see why something is the case and grasping and seeing are ways of knowing. (shrink)

In this article I argue that there are two different types of understanding: the understanding we get from explanations, and the understanding we get from unification. This claim is defended by first showing that explanation and unification are not as closely related as has sometimes been thought. A critical appraisal of recent proposals for understanding without explanation leads us to discuss the example of a purely classificatory biology: it turns out that such a science can give (...) us understanding of the world through unification of the phenomena, even though it does not give us any explanations. The two types of understanding identified in this paper, while strictly separate, do have in common that both consist in seeing how the individual phenomena of the universe hang together. Explanations give us connections between the phenomena through the asymmetric, ‘vertical’ relation of determination; unifications give us connections through the symmetric, ‘horizontal’ relation of kinship. We then arrive at a general definition of understanding as knowledge of connections between the phenomena, and indicate that there might be more than two types of understanding. (shrink)

Claims pertaining to understanding are made in a variety of contexts and ways. As a result, few in the philosophical literature have made an attempt to precisely characterize the state that is y understanding x. This paper builds an account that does just that. The account is motivated by two main observations. First, understanding x is somehow related to being able to manipulate x. Second, understanding is a mental phenomenon, and so what manipulations are required to (...) be an understander must only be mental manipulations. Combining these two insights, the paper builds an account (URM) of understanding as a certain representational capacity—specifically, understanding x involves possessing a representation of x that could be manipulated in useful ways. By tying understanding to representation, the account correctly identifies that understanding is a fundamentally cognitive achievement. However, by also demanding that which representations count as understanding-conferring be determined by their practical effects, URM captures the insight that understanding is vitally connected to practice. URM is fully general, and can apply equally well to understanding states of affairs, understanding events, and even understanding people and works of art. The ultimate test of URM is its applicability in actual scientific and philosophical discourse. To that end the paper discusses the importance of understanding in the philosophy of science, psychology, and computer science. (shrink)

Direct neurological and especially imaging-driven investigations into the structures essential to naturally occurring cognitive systems in their development and operation have motivated broadening interest in the potential for artificial consciousness modeled on these systems. This first paper in a series of three begins with a brief review of Boltuc’s (2009) “brain-based” thesis on the prospect of artificial consciousness, focusing on his formulation of h-consciousness. We then explore some of the implications of brain research on the structure of consciousness, finding limitations (...) in biological approaches to the study of consciousness. Looking past these limitations, we introduce research in artificial consciousness designed to test for the emergence of consciousness, a phenomenon beyond the purview of the study of existing biological systems. (shrink)

What is the relationship between understanding and knowing? This paper offers a defence of reductionism about understanding: the view that instances of understanding reduce to instances of knowing. I argue that knowing is both necessary and sufficient for understanding. I then outline some advantages of reductionism.

The literature on the nature of understanding can be divided into two broad camps. Explanationists believe that it is knowledge of explanations that is key to understanding. In contrast, their manipulationist rivals maintain that understanding essentially involves an ability to manipulate certain representations. The aim of this paper is to provide a novel knowledge based account of understanding. More specifically, it proposes an account of maximal understanding of a given phenomenon in terms of fully comprehensive (...) and maximally well-connected knowledge of it and of degrees of understanding in terms of approximations to such knowledge. It is completed by a contextualist semantics for outright attributions of understanding according to which an attribution of understanding is true of one just in case one knows enough about it to perform some contextually determined task. It is argued that this account has an edge over both its explanationist and manipulationist competitors. (shrink)

Toy models are highly idealized and extremely simple models. Although they are omnipresent across scientific disciplines, toy models are a surprisingly under-appreciated subject in the philosophy of science. The main philosophical puzzle regarding toy models is that it is an unsettled question what the epistemic goal of toy modeling is. One promising proposal for answering this question is the claim that the epistemic goal of toy models is to provide individual scientists with understanding. The aim of this paper is (...) to precisely articulate and to defend this claim. In particular, we will distinguish between autonomous and embedded toy models, and, then, argue that important examples of autonomous toy models are sometimes best interpreted to provide how-possibly understanding, while embedded toy models yield how-actually understanding, if certain conditions are satisfied. (shrink)

Many AI systems that make important decisions are black boxes: how they function is opaque even to their developers. This is due to their high complexity and to the fact that they are trained rather than programmed. Efforts to alleviate the opacity of black box systems are typically discussed in terms of transparency, interpretability, and explainability. However, there is little agreement about what these key concepts mean, which makes it difficult to adjudicate the success or promise of opacity alleviation methods. (...) I argue for a unified account of these key concepts that treats the concept of understanding as fundamental. This allows resources from the philosophy of science and the epistemology of understanding to help guide opacity alleviation efforts. A first significant benefit of this understanding account is that it defuses one of the primary, in-principle objections to post hoc explainable AI (XAI) methods. This “rationalization objection” argues that XAI methods provide mere rationalizations rather than genuine explanations. This is because XAI methods involve using a separate “explanation” system to approximate the original black box system. These explanation systems function in a completely different way than the original system, yet XAI methods make inferences about the original system based on the behavior of the explanation system. I argue that, if we conceive of XAI methods as idealized scientific models, this rationalization worry is dissolved. Idealized scientific models misrepresent their target phenomena, yet are capable of providing significant and genuine understanding of their targets. (shrink)

While it is widely acknowledged that knowledge can be acquired via testimony, it has been argued that understanding cannot. While there is no consensus about what the epistemic relationship of understanding consists in, I argue here that regardless of how understanding is conceived there are kinds of understanding that can be acquired through testimony: easy understanding and easy-s understanding. I address a number of aspects of understanding that might stand in the way of (...) being able to acquire understanding through testimony, focusing on understanding ’s paradigmatic form and what it means to say that in order to understand something you need to “grasp” some information or the relationship between bits of information. I argue that in cases of both easy and easy-s understanding, no aspect of understanding stands in the way of it being able to acquire it through testimony. As a result, while not all understanding be acquired through testimony in all instances and for all subjects, this failure of acquisition is only a product of the complexity of the relevant information or one’s unfamiliarity with it, and not a product of the epistemic relationship of understanding. (shrink)

Among contemporary epistemologists and scholars of ancient philosophy, one often hears that transmitting propositional knowledge by testimony is usually easy and straightforward, but transmitting understanding and know-how by testimony is usually difficult or simply impossible. Further provocative conclusions are then sometimes drawn from these claims: for instance, that know-how and understanding are not types of propositional knowledge. In contrast, I argue that transmitting propositional knowledge is sometimes easy and sometimes hard, just as transmitting know how and understanding (...) is sometimes easy and sometimes hard. No general lessons can be drawn about the relationships among propositional knowledge, know how, and understanding by considering the case of testimony alone. (shrink)

Epistemic democracy is standardly characterized in terms of “aiming at truth”. This presupposes a veritistic conception of epistemic value, according to which truth is the fundamental epistemic goal. I will raise an objection to the standard (veritistic) account of epistemic democracy, focusing specifically on deliberative democracy. I then propose a version of deliberative democracy that is grounded in non-veritistic epistemic goals. In particular, I argue that deliberation is valuable because it facilitates empathetic understanding. I claim that empathetic understanding (...) is an epistemic good that doesn’t have truth as its primary goal. (shrink)