Scientists, philosophers, and other researchers commonly assert their theories. This is surprising, as there are good reasons for skepticism about theories in cutting-edge research. I propose a new account of assertion in research contexts that vindicates these assertions. This account appeals to a distinct propositional attitude called endorsement, which is the rational attitude of committed advocacy researchers have to their theories. The account also appeals to a theory of conversational pragmatics known as the Question Under Discussion model, or QUD. Hence, (...) I call the theory the EQUD model. Motivating this account is a recognition that the speech act of assertion has two roles to play in research contexts. The first is the advocacy role, in which researchers assert a theory in order to advocate for it. The second is the evidential role, which is used to add to the common stock of information available to a field of inquiry. The EQUD model provides an account of warranted assertion for both these roles in research contexts. This success provides support for the theory of endorsement. It also provides support for information updating accounts of assertion. (shrink)

What can we know? How should we live? What is there? Philosophers famously diverge in the answers they give to these and other philosophical questions. It is widely presumed that a lack of convergence on these questions suggests that philosophy is not progressing at all, is not progressing fast enough, or is not progressing as fast as other disciplines, such as the natural sciences. Call the view that ideal philosophical progress is marked by at least some degree of convergence on (...) the core philosophical questions the pro-convergence thesis. I will argue that there is reason to reject the pro-convergence thesis in favor of the anti-convergence thesis, the view that significant viewpoint convergence is at odds with the aims of a philosophically ideal community. The argument centers on a thought experiment about two different philosophical communities. (shrink)

Mandevillian intelligence is a specific form of collective intelligence in which individual cognitive shortcomings, limitations and biases play a positive functional role in yielding various forms of collective cognitive success. When this idea is transposed to the epistemological domain, mandevillian intelligence emerges as the idea that individual forms of intellectual vice may, on occasion, support the epistemic performance of some form of multi-agent ensemble, such as a socio-epistemic system, a collective doxastic agent, or an epistemic group agent. As a specific (...) form of collective intelligence, mandevillian intelligence is relevant to a number of debates in social epistemology, especially those that seek to understand how group (or collective) knowledge arises from the interactions between a collection of individual epistemic agents. Beyond this, however, mandevillian intelligence raises issues that are relevant to the research agendas of both virtue epistemology and applied epistemology. From a virtue epistemological perspective, mandevillian intelligence encourages us to adopt a relativistic conception of intellectual vice/virtue, enabling us to see how individual forms of intellectual vice may (sometimes) be relevant to collective forms of intellectual virtue. In addition, mandevillian intelligence is relevant to the nascent sub-discipline of applied epistemology. In particular, mandevillian intelligence forces us see the potential epistemic value of (e.g., technological) interventions that create, maintain or promote individual forms of intellectual vice. (shrink)

Bayesians standardly claim that there is rational pressure for agents’ credences to cohere across time because they face bad (epistemic or practical) consequences if they fail to diachronically cohere. But as David Christensen has pointed out, groups of individual agents also face bad consequences if they fail to interpersonally cohere, and there is no general rational pressure for one agent's credences to cohere with another’s. So it seems that standard Bayesian arguments may prove too much. Here, we agree with Christensen (...) that there is no general rational pressure to diachronically cohere, but we argue that there are particular cases in which there is rational pressure to diachronically cohere, as well as particular cases in which interpersonal probabilistic coherence is rationally required. More generally, we suggest that Bayesian arguments for coherence apply whenever a collection (of agents or time slices) has a shared dimension of value and an ability to coordinate their actions in a range of cases relevant to that value. Typically, this shared value and ability to coordinate is very strong across the time slices of one human being, and very weak across different human beings, but there are special cases where these can switch—i.e., some groups of humans will have as much reason for their beliefs to cohere across a particular range of cases as the time slices of one human usually do, but some time slices of a human will have as much freedom to differ in their beliefs from the others as the members of a group usually do. (shrink)

The foundations of research ethics are riven with fault lines emanating from a fear that if research is too closely connected to weighty social purposes an imperative to advance the common good through research will justify abrogating the rights and welfare of study participants. The result is an impoverished conception of the nature of research, an incomplete focus on actors who bear important moral responsibilities, and a system of ethics and oversight highly attuned to the dangers of research but largely (...) silent about threats of ineffective, inefficient, and inequitable medical practices and health systems. -/- In For the Common Good: Philosophical Foundations of Research Ethics, Alex John London defends a conception of the common good that grounds a moral imperative with two requirements. The first is to promote research that generates the information necessary to enable key social institutions to effectively, efficiently, and equitably safeguard the basic interests of individuals. The second is to ensure that research is organized as a voluntary scheme of social cooperation that respects its various contributors' moral claims to be treated as free and equal. Connecting research to the goals of a just social order grounds a framework for assessing and managing research risk that reconciles these requirements and justifies key oversight practices in non-paternalistic terms. Reconceiving research ethics as resolving coordination problems and providing credible assurance that these requirements are being met expands the issues and actors that fall within the purview of the field and provides the foundation for a more unified and coherent approach to domestic and international research. -/- This is an open access title available under the terms of a CC BY-NC-ND 4.0 license. It is free to read at Oxford Scholarship Online and offered as a free PDF download from OUP and selected open access locations. (shrink)

In this paper, I develop an epistemological argument for freedom from poverty, building on Gerald Gaus’ work on political and moral disagreement in New Diversity Theory (NDT). NDT argues that diversity and disagreement are fundamental to political and moral learning. In this paper, I address Gaus’ central arguments in NDT, and focus on what I argue to be the key epistemological distinction of his account—namely, the argument that the relevant diversity, which is conducive to political and moral learning and should (...) therefore be protected by an institutional order, should not be defended or defined by reference to its performance with regards to discovery of true beliefs, but by reference to the independent epistemic value of protection of disagreeing, redundant and distant investigators. I develop a restatement of this argument from the perspective of institutional epistemology, and show that (along with constitutional liberties, polycentric self-governance and markets) freedom from poverty must be considered an institutional “device” conducive to such a conception of diversity. While Gaus rejects redistributive policies at the level of an institutional order, it is precisely his account of the epistemic powers of diversity and disagreement which provides the strongest defense of minimal redistribution. (shrink)

Some scientists are happy to follow in the footsteps of others; some like to explore novel approaches. It is tempting to think that herein lies an epistemic division of labor conducive to overall scientific progress: the latter point the way to fruitful areas of research, and the former more fully explore those areas. Weisberg and Muldoon’s model, however, suggests that it would be best if all scientists explored novel approaches. I argue that this is due to implausible modeling choices, and (...) I present an alternative ‘epistemic landscape’ model that demonstrates the alleged benefits from division of labor, with one restriction. (shrink)

A concept of diversity is an understanding of what makes a group diverse that may be applicable in a variety of contexts. We distinguish three diversity concepts, show that each can be found in discussions of diversity in science, and explain how they tend to be associated with distinct epistemic and ethical rationales. Yet philosophical literature on diversity among scientists has given little attention to distinct concepts of diversity. This is significant because the unappreciated existence of multiple diversity concepts can (...) generate unclarity about the meaning of “diversity,” lead to problematic inferences from empirical research, and obscure complex ethical-epistemic questions about how to define diversity in specific cases. We illustrate some ethical-epistemic implications of our proposal by reference to an example of deliberative mini-publics on human tissue biobanking. (shrink)

We suggest that philosophical accounts of epistemic effects of diversity have given insufficient attention to the relationship between demographic diversity and information elaboration, the process whereby knowledge dispersed in a group is elicited and examined. We propose an analysis of IE that clarifies hypotheses proposed in the empirical literature and their relationship to philosophical accounts of diversity effects. Philosophical accounts have largely overlooked the possibility that demographic diversity may improve group performance by enhancing IE, and sometimes fail to explore the (...) relationship between diversity and IE altogether. We claim these omissions are significant from both a practical and theoretical perspective. Moreover, we explain how the overlooked explanations suggest that epistemic benefits of diversity can depend on epistemically unjust social dynamics. (shrink)

We show that previous results from epistemic network models showing the benefits of decreased connectivity in epistemic networks are not robust across changes in parameter values. Our findings motivate discussion about whether and how such models can inform real-world epistemic communities. As we argue, only robust results from epistemic network models should be used to generate advice for the real-world, and, in particular, decreasing connectivity is a robustly poor recommendation.

When should a scientific community be cognitively diverse? This article presents a model for studying how the heterogeneity of learning heuristics used by scientist agents affects the epistemic efficiency of a scientific community. By extending the epistemic landscapes modeling approach introduced by Weisberg and Muldoon, the article casts light on the micro-mechanisms mediating cognitive diversity, coordination, and problem-solving efficiency. The results suggest that social learning and cognitive diversity produce epistemic benefits only when the epistemic community is faced with problems of (...) sufficient difficulty. (shrink)

How do scientists generate knowledge in groups, and how have they done so in the past? How do epistemically motivated social interactions influence or even drive this process? These questions speak to core interests of both history and philosophy of science. Idealised models and formal arguments have been suggested to illuminate the social epistemology of science, but their conclusions are not directly applicable to scientific practice. This paper uses one of these models as a lens and historiographical tool in the (...) examination of actual scientific collectives. It centres on the analysis of two episodes from the history of photosynthesis research of the late nineteenth- to mid-twentieth centuries, which display a wide and coordinated intellectual diversity similar to Kitcher’s “division of cognitive labour”. The concept, I argue, captures important aspects of the photosynthesis research communities, but the underlying process unfolded in ways that differ from the model’s assumption in interesting ways. The paper unravels how the self-organised interplay of cooperation and competition, and the dynamics of individual and collective goals within scientific communities were influential factors in the generation of knowledge. From there, some thoughts are developed on how historical and philosophical approaches in the analysis of science can productively interact. (shrink)

In On Liberty, Mill introduced the concept of . I will provide an account of what Mill saw to be the basic problem he was addressing – the extensive pressure to fit in with the crowd, and how this bred mediocrity. I connect this to worries about public reason models of justification. I argue that a generalized version of Mill's argument offers us a better path to political justification stemming from experimentation. Rather than grounding political justification on shared political reasons, (...) we justify our political culture on our ability to reject consensus views and try alternatives. (shrink)

What, if anything, is the import of Hayek to epistemic democracy? Although Hayek is revered by epistemic democrats for his insights into the epistemic aspects of the market sphere, it is generally believed that his theory is moot with respect to democratic reason. This paper aims to challenge this verdict. I argue that a Hayekian analysis of inclusive public deliberation contributes at least three valuable lessons: (1) Hayek makes the case that under certain conditions even unbiased deliberators are permanently unable (...) to converge on the best available policy option. Call this the problem of ‘persistent hidden policy champions’. (2) He demonstrates that to unlock hidden policy champions, reasonable minority factions need the opportunity to act on their own evidential standards. (3) He challenges epistemic democrats to think more carefully about how to design the “epistemic basic structure” (Kurtulmus and Irzik 2017) of society in order to account for persistent hidden policy champions. (shrink)

It seems obvious that a community of one thousand scientists working together to make discoveries and solve puzzles should arrange itself differently than would one thousand scientist-hermits working independently. Because of limited time, resources, and attention, an independent scientist can explore only some of the possible approaches to a problem. Working alone, each hermit would explore the most promising approaches. They would needlessly duplicate the work of others and would be unlikely to develop approaches which look unpromising but really have (...) tremendous potential. Contrariwise, a large community can more rigorously explore the space of possible approaches. Most scientists should work on the most promising approaches, but a smaller number can be committed to approaches that initially look less promising. Exploratory work can reveal if one of those initially unpromising approaches has unrealized potential, and more scientists can adopt it once its potential becomes more apparent. (shrink)

One approach to science treats science as a cognitive accomplishment of individuals and defines a scientific community as an aggregate of individual inquirers. Another treats science as a fundamentally collective endeavor and defines a scientist as a member of a scientific community. Distributed cognition has been offered as a framework that could be used to reconcile these two approaches. Adam Toon has recently asked if the cognitive and the social can be friends at last. He answers that they probably cannot, (...) posing objections to the would-be rapprochement. We clarify both the animosity and the tonic proposed to resolve it, ultimately arguing that worries raised by Toon and others are uncompelling. (shrink)

To give substance to the rhetoric of ‘learning health systems’, a variety of novel trial designs are being explored to more seamlessly integrate research with medical practice, reduce study duration and reduce the number of participants allocated to ineffective interventions. Many of these designs rely on response adaptive randomisation. However, critics charge that RAR is unethical on the grounds that it violates the principle of equipoise. In this paper, I reconstruct critiques of RAR as holding that it is inconsistent with (...) five important ethical principles. I then argue that these criticisms rest on a faulty view of equipoise encouraged by the idea that a RAR study models the beliefs of a single rational agent about the relative merits of the interventions being studied. I outline a view in which RAR models an idealised health system in which diverse communities of fully informed experts shrink or grow as their constituent members update their expert opinions in light of reliable medical evidence. I show how a proper understanding of clinical equipoise can reconcile this conception of RAR with these five ethical principles. This analysis removes an in-principle objection to RAR and sheds important light on the relationship between clinical equipoise and transient diversity in the scientific community. (shrink)

In recent years, epistemologists have devoted enormous attention to this question: what should happen when two epistemic peers disagree about the truth-value of some proposition? Some have argued that that in all such cases, both parties are rationally required to revise their position in some way. Others have maintained that, in at least some cases, neither party is rationally required to revise her position. In this paper, I examine a provocative and under-appreciated argument for the latter view due to Elgin (...) Disagreement, Oxford University Press, Oxford, pp 53–68, 2010; The Philosopher’s Magazine, fourth quarter, pp 77–82, 2012; True enough, MIT Press, Cambridge, 2017; in: Johnson Voicing dissent: the ethics and epistemology of making disagreement public, Routledge, New York, pp 10–21, 2018). I defend it against a series of objections, and I then identify some fruitful ways in which her view could be developed further. (shrink)

In The Main Enterprise of the World, Philip Kitcher identifies an over-specialized and over-loaded curriculum as a particular affliction of education in our time. Kitcher criticizes a narrow view of education on which it is conceived as being no more than job training and proposes a more humane set of educational goals to be pursued in school. For Kitcher, the problem of the narrowness of the economic aims of education and the problem of the over-loaded curriculum are connected and, in (...) Chapter 2 of the book, he presents a thoroughgoing critique of educational specialization as a distinguishing feature of education today. He holds that the economic value of education cannot capture education's full value and that true education should build children and young people's capacities for meaningful life and work. In this paper, I discuss Kitcher's critique of educational specialization. I note that Kitcher draws most of his inspiration from considerations about what makes a human life go well and therefore situates his thinking about education in the realm of ethics, rather than in his home discipline of the philosophy of science. Defending educational specialization, I turn to some of Kitcher's earlier work in the philosophy of science to show that the epistemic division of labour calls for a considerable degree of specialization in educational curricula on epistemic, rather than on economic, grounds. (shrink)

In this essay, I aim to motivate and defend a pluralistic view of epistemic rationality. At the core of the view is the notion that epistemic rationality is essentially a species of practical rationality put in the service of various epistemic goals. I begin by sketching some closely related views that have appeared in the literature. I then present my preferred version of the view and sketch some of its benefits. Thomas Kelly has raised challenging objections to a part of (...) the view, which I then present and address. I then raise some distinct worries that might linger and sketch some possible ways one might address them. (shrink)

Cognitive archaeologists attempt to infer the cognitive and cultural features of past hominins and their societies from the material record. This task faces the problem of _minimum necessary competence_: as the most sophisticated thinking of ancient hominins may have been in domains that leave no archaeological signature, it is safest to assume that tool production and use reflects only the lower boundary of cognitive capacities. Cognitive archaeology involves selecting a model from the cognitive sciences and then assessing some aspect of (...) the material record through that lens. We give examples to show that background theoretical commitments in cognitive science that inform those models lead to different minimum necessary competence results. This raises an important question: what principles should guide us in selecting a model from the cognitive sciences? We outline two complementary responses to this question. The first involves using _independent_ lines of evidence to converge on a particular capacity. This can then influence model choice. The second is a broader suggestion. Theoretical diversity is a good thing in science, but is only beneficial over a limited amount of time. According to recent modelling work, one way of limiting diversity is to introduce extreme priors. We argue that having a broad spectrum of views in the philosophy of cognitive science may actually help cognitive archaeologists address the problem of minimum necessary competence. (shrink)

ABSTRACTDeliberative and decisional groups play crucial roles in most aspects of social life. But it is not obvious how to organize these groups and various socio-cognitive mechanisms can spoil debates and decisions. In this paper we focus on one such important mechanism: the misrepresentation of views, i.e. when agents express views that are aligned with those already expressed, and which differ from their private opinions. We introduce a model to analyze the extent to which this behavioral pattern can warp deliberations (...) and distort the decisions that are finally taken. We identify types of situations in which misrepresentation can have major effects and investigate how to reduce these effects by adopting appropriate deliberative procedures. We discuss the beneficial effects of holding a sufficient number of rounds of expression of views; choosing an appropriate order of speech, typically a random one; rendering the deliberation dissenter-friendly; having agents express fined-grained views. These applicable procedures help improve deliberations because they dampen conformist behavior, give epistemic minorities more opportunities to be heard, and reduce the number of cases in which an inadequate consensus or majority develops. (shrink)

Real-life decision-making often begins with a disorderly decision problem that has to be clarified and systematized before a decision can be made. This is the process of decision structuring that has largely been ignored both in decision theory and applied decision analysis. In this contribution, ten major components of decision structuring are identified, namely the determination of its scope, subdivision, agency, timing, options, control ascriptions, framing, horizon, criteria and restructuring. Four of these components, namely the scope, subdivision, options, and horizon (...) of a decision, are subjected to a more detailed analysis. (shrink)

ABSTRACT The rise of social media has correlated with an increase in political polarization, which many perceive as a threat to public discourse and democratic governance. This paper presents a framework, drawing on social epistemology and the economic theory of public goods, to explain how social media can contribute to polarization, making us collectively poorer, even while it provides a preferable media experience for individual consumers. Collective knowledge and consensus is best served by having richly connected networks that are epistemically (...) integrated: individuals with diverse levels of expertise should be relatively well connected to each other. In epistemically segregated networks, by contrast, we have reason to predict collective epistemic failures. Expert knowledge will be isolated from the majority, leading average opinion to be less informed than is socially optimal, and entrenching disagreements. Because social media enables users to very easily adopt homophilous network connections – connections to those with similar opinions, education levels, and social backgrounds – it is likely to have increased epistemic segregation compared to older media platforms. The paper explains the theoretical foundations of these predictions, and sketches regulatory measures – such as taxes – that might be employed to preserve the public good of a well integrated social media network. (shrink)

The term ‘epistemic trespassing’ has recently been coined to denote a person’s judgments regarding a domain where they are not epistemic experts. In this paper, I focus on expert trespassing testimony – that is, testimony by an expert in a domain of expertise other than his own. More specifically, I focus on intra-scientific trespassing testimony between scientific collaborators. By developing a number of distinctions, I argue that while intra-scientific trespassing testimony may seriously hamper scientific collaboration, it does not invariably do (...) so and may even be beneficial to it. (shrink)

It is valuable for inquiry to have researchers who are committed advocates of their own theories. However, in light of pervasive disagreement, such a commitment is not well explained by the idea that researchers believe their theories. Instead, this commitment, the rational attitude to take toward one’s favored theory during the course of inquiry, is what I call endorsement. Endorsement is a doxastic attitude, but one which is governed by a different type of epistemic rationality. This inclusive epistemic rationality is (...) sensitive to reasons beyond those to think the particular proposition in question is true. Instead, it includes extrinsic epistemic reasons, which concern the health of inquiry more generally. Such extrinsic reasons include the distribution of cognitive labor that a researcher will contribute to by endorsing a particular theory. Recognizing endorsement and inclusive epistemic rationality thus allows us to smooth a tension between individual rationality and collective rationality. It does so by showing how it can be epistemically rational to endorse a theory on the basis of the way this endorsement will benefit collective inquiry. I provide a decision theoretic treatment for inclusive epistemic rationality and endorsement which illustrates how this can be accomplished. (shrink)

Sometimes inquirers may rationally pursue a theory even when the available evidence does not favor that theory over others. Features of a theory that favor pursuing it are known as considerations of promise or pursuitworthiness. Examples of such reasons include that a theory is testable, that it has a useful associated analogy, and that it suggests new research and experiments. These reasons need not be evidence in favor of the theory. This raises the question: what kinds of reasons are provided (...) by pursuitworthiness considerations? Are they epistemic reasons or practical reasons? I argue that pursuitworthiness considerations are a kind of non-evidential epistemic reason, which I call an inquisitive reason. In support of this, I first point out two important similarities between the traditional pursuitworthiness considerations discussed in philosophy of science, which I call promise reasons, and certain social epistemic reasons that I call social inquisitive reasons. Specifically, both kinds of reason (1) favor pursuing a theory in a non-evidential way, and (2) concern promoting successful inquiry. I then propose recognition of a new category of normative reason: inquisitive reasons. This category contains both promise and social inquisitive reasons. Finally, I argue that inquisitive reasons share three essential features with previously recognized epistemic reasons: a connection to epistemic aims, explanatory independence, and the presence of a specific right-kind/wrong-kind reasons distinction. Each of these features have been used to argue that evidence should be treated as part of a distinct, independent domain of epistemic normativity. Since inquisitive reasons share these features, they too should be considered part of this independent epistemic domain. Thus, inquisitive reasons, including pursuitworthiness considerations, are epistemic reasons. (shrink)

So-called ‘gain-of-function’ (GOF) research is virological research that results in a virus substantially more virulent or transmissible than its wild antecedent. GOF research has been subject to ethical analysis in the past, but the methods of GOF research have to date been underexamined by philosophers in these analyses. Here, we examine the typical animal used in influenza GOF experiments, the ferret, and show how despite its longstanding use, it does not easily satisfy the desirable criteria for an _animal model_. We (...) then discuss the limitations of the ferret model, and how those epistemic limitations bear on ethical and policy questions around the risks and benefits of GOF research. We conclude with a reflection on how philosophy of science can contribute to ethical and policy debates around the risks, benefits and relative priority of life sciences research. (shrink)

Formal models of scientific inquiry, aimed at capturing socio-epistemic aspects underlying the process of scientific research, have become an important method in formal social epistemology and philosophy of science. In this introduction to the special issue we provide a historical overview of the development of formal models of this kind and analyze their methodological contributions to discussions in philosophy of science. In particular, we show that their significance consists in different forms of ‘methodological iteration’ whereby the models initiate new lines (...) of inquiry, isolate and clarify problems with existing knowledge claims, and stimulate further research. (shrink)

This article addresses the question how philosophy should be evaluated in a research-grant funding environment. It offers a new conception of philosophy that is inclusive and builds on familiar elements of professional, philosophical practice. Philosophy systematically questions the questions we ask, the concepts we use, and the values we hold. Its product is therefore rarely conclusive but can be embodied in everything we do. This is typical of explorative research and differentiates it from exploitative research, which constitutes the bulk of (...) funded research activity. This article argues that exploratory research is crucial for long-term progress and requires a distinct evaluative regime. (shrink)

There has been a surge of recent interest in sociocultural diversity in machine learning research. Currently, however, there is a gap between discussions of measures and benefits of diversity in machine learning, on the one hand, and the broader research on the underlying concepts of diversity and the precise mechanisms of its functional benefits, on the other. This gap is problematic because diversity is not a monolithic concept. Rather, different concepts of diversity are based on distinct rationales that should inform (...) how we measure diversity in a given context. Similarly, the lack of specificity about the precise mechanisms underpinning diversity’s potential benefits can result in uninformative generalities, invalid experimental designs, and illicit interpretations of findings. In this work, we draw on research in philosophy, psychology, and social and organizational sciences to make three contributions: First, we introduce a taxonomy of different diversity concepts from philosophy of science, and explicate the distinct epistemic and political rationales underlying these concepts. Second, we provide an overview of mechanisms by which diversity can benefit group performance. Third, we situate these taxonomies of concepts and mechanisms in the lifecycle of sociotechnical machine learning systems and make a case for their usefulness in fair and accountable machine learning. We do so by illustrating how they clarify the discourse around diversity in the context of machine learning systems, promote the formulation of more precise research questions about diversity’s impact, and provide conceptual tools to further advance research and practice. (shrink)

One phenomenon arising in epistemic life is allegiance to, and break from, a tradition. This phenomenon has three central features. First, individuals who adhere to a tradition seem to respond dogmatically to evidence against their tradition. Second, individuals from different traditions appear to see the same evidence differently. And third, conversion from one tradition to another appears to be different in kind from ordinary belief shift. This paper uses recent work on the nature and rationality of faith to show that (...) these features can all emerge from individuals acting rationally—in particular, from individuals rationally having faith in the core assumptions of their traditions. One upshot is that we don't need to employ the idea of incommensurability to explain these features. (shrink)

In the peer disagreement debate, three intuitively attractive claims seem to conflict: there is disagreement among peers on many important matters; peer disagreement is a serious challenge to one’s own opinion; and yet one should be able to maintain one’s opinion on important matters. I show that contrary to initial appearances, we can accept all three of these claims. Disagreement significantly shifts the balance of the evidence; but with respect to certain kinds of claims, one should nonetheless retain one’s beliefs. (...) And one should retain them even though these beliefs would not be supported by the new total evidence if one didn’t already hold them. (shrink)

Preferably scientific investigations would promote true rather than false beliefs. The phenomenon of fraud represents a standing challenge to this veritistic ideal. When scientists publish fraudulent results they knowingly enter falsehoods into the information stream of science. Recognition of this challenge has prompted calls for scientists to more consciously adopt the veritistic ideal in their own work. In this paper I argue against such promotion of the veritistic ideal. It turns out that a sincere desire on the part of scientists (...) to see the truth propagated may well promote more fraud rather than less. (shrink)

Many philosophers have claimed that relying on the testimony of others in normative questions is in some way problematic. In this paper, I consider whether we should be troubled by deference in democratic politics. I argue that deference is less problematic in impure cases of political deference, and most non-ideal cases of political deference are impure. To establish the second point, I rely on empirical research from political psychology. I also outline two principled reasons why we should expect political deference (...) to be untroubling: political problems are difficult and require a division of epistemic labour; furthermore, there is value in exercising epistemic solidarity with those one shares an identity or interests with. (shrink)

Knowledge seems to need the admixture of de facto reliability and epistemic responsibility. But philosophers have had a hard time in attempting to combine them in order to achieve a satisfactory account of knowledge. In this paper I attempt to find a solution by capitalizing on the real and ubiquitous human phenomenon that is the social dispersal of epistemic labour through time. More precisely, the central objective of the paper is to deliver a novel and plausible social account of knowledge-relevant (...) responsibility and to consider the merits of the proposed combination of reliability and responsibility with respect to certain cases of unreflective epistemic subjects. O conhecimento parece precisar de uma combinação de confiabilidade de facto e responsabilidade epistêmica. Mas os filósofos têm tido grande dificuldade tentar combiná-las para alcançar uma teoria satisfatória do conhecimento. Este trabalho tenta encontrar uma solução baseada no fenômeno humano real e onipresente que é a dispersão social do trabalho epistêmico através do tempo. Mais precisamente, o objetivo central deste artigo é entregar uma teoria social de responsabilidade epistêmica nova e plausível e considerar os méritos de a combinação de confiabilidade e responsabilidade proposta relativas a certos casos de indivíduos epistemológicos não reflexivos. (shrink)

ABSTRACT In contemporary epistemology, there are a number of particular internalism/externalism debates. My concern here is with the internalism/externalism controversy about some specific positive epistemic status required for knowledge which is normally understood in terms of epistemic responsibility. I argue that, given our pervasive epistemic interdependence, such particular debate needs to be reformulated in anti-individualistic terms if it is to be an interesting one.

The question of the division of cognitive labor has given rise to various models characterizing the way scientists should distribute their efforts. These models often consider the scientific community as a self-governed sphere constituted by rational agents making choices on the basis of fixed rules. Such models have recently been criticized for not taking into account the real mechanisms of science funding. Hence, the question of the utility of the DCL models in guiding science policy remains an open one. In (...) this paper, we show that two unconsidered dimensions would have to be taken into account. First, DCL studies miss the existence of distinct levels of epistemic objectives organizing the research process. Indeed, the scientific field is structured as a system of hierarchical, interconnected practices which are defined both by their inherent purposes and by various superposed external functions. Second, I criticize the absence of ontological considerations, since the epistemological significance of pluralism is highly dependent on the nature of the object under study. Because of these missing dimensions, current DCL models might have a limited usefulness to identify good practices of research governance. (shrink)

The question of the division of cognitive labor has given rise to various models characterizing the way scientists should distribute their efforts. These models often consider the scientific community as a self-governed sphere constituted by rational agents making choices on the basis of fixed rules. Such models have recently been criticized for not taking into account the real mechanisms of science funding. Hence, the question of the utility of the DCL models in guiding science policy remains an open one. In (...) this paper, we show that two unconsidered dimensions would have to be taken into account. First, DCL studies miss the existence of distinct levels of epistemic objectives organizing the research process. Indeed, the scientific field is structured as a system of hierarchical, interconnected practices which are defined both by their inherent purposes and by various superposed external functions. Second, I criticize the absence of ontological considerations, since the epistemological significance of pluralism is highly dependent on the nature of the object under study. Because of these missing dimensions, current DCL models might have a limited usefulness to identify good practices of research governance. (shrink)

What attitude should philosophers take toward their favorite philosophical theories? I argue that the answer is belief and middling to low credence. I begin by discussing why disagreement has motivated the view that we cannot rationally believe our philosophical theories. Then, I show why considerations from disagreement actually better support my view. I provide two additional arguments for my view: the first concerns roles for belief and credence and the second explains why believing one’s philosophical theories is superior to accepting (...) them. I close by addressing objections, including implications my view has for the Lockean thesis, the view that there is a normative connection between belief and high credence. (shrink)

A standard view in legal and political theory is that, to a first approximation, (1) we should aim to bring about the most legitimate institutions possible to solve the problems that should be solved at the level of politics, and (2) individual people are required to follow the directives of legitimate institutions, at least insofar as those institutions have the authority to issue those directives, and insofar as other considerations are nearly equal.1 On this standard view, the philosophical analysis of (...) institutional legitimacy can appear to be of the utmost importance because it can seem to answer the most important questions about what we should actually do in the realm of law and politics, and because it may also seem to serve as the crucial bridge between ideal and nonideal theory, at least if institutional legitimacy is analyzed as it often is as a matter of doing well enough along dimensions that are familiar from ideal APA NEWSLETTER | PHILOSOPHY AND LAW theory (e.g., ideal justice, universal consent, respecting basic rights, social welfare maximization, and so on). In what follows I identify a number of possible counterexamples to this standard view, which suggest that there may be no straightforward connection between institutional legitimacy and facts about what reasons, rights, and duties we actually have, and what institutions we should actually try to bring about, contrary to what the standard view assumes. (shrink)

What structure of scientific communication and cooperation, between what kinds of investigators, is best positioned to lead us to the truth? Against an outline of standard philosophical characteristics and a recent turn to social epistemology, this paper surveys highlights within two strands of computational philosophy of science that attempt to work toward an answer to this question. Both strands emerge from abstract rational choice theory and the analytic tradition in philosophy of science rather than postmodern sociology of science. The first (...) strand of computational research models the effect of communicative networks within groups, with conclusions regarding the potential benefit of limited communication. The second strand models the potential benefits of cognitive diversity within groups. Examples from each strand of research are used in analyzing what makes modeling of this sort both promising and distinctly philosophical, but are also used to emphasize possibilities for failure and inherent limitations as well. (shrink)

This paper introduces and motivates a solution to a dilemma from peer disagreement. Following Buchak (2021), I argue that peer disagreement puts us in an epistemic dilemma: there is reason to think that our opinions should both change and not change when we encounter disagreement with our epistemic peers. I argue that we can solve this dilemma by changing our credences, but not our beliefs in response to disagreement. I explain how my view solves the dilemma in question, and then (...) offer two additional arguments for it: one related to contents and attitudes, and another related to epistemic peerhood. (shrink)

Since the publication of Kitcher’s influential paper The Division of Cognitive Labor, some philosophers wondered about these two related issues: (1) which is the optimal distribution of cognitive efforts among rival methods within a scientific community?, and (2) whether and how can a community achieve such an optimal distribution? Though not committing to any specific answer to question (1), I claim that issue (2) does not depend exclusively on an invisible hand like mechanism, since both intra-scientific and extra-scientific institutions may (...) play a major role. Finally, I examine some practical difficulties of reallocating scientists from a method to another, which leads to stress the importance of well-planned training and recruitment. (shrink)