I examine the construction and evaluation of machine learning binary classification models. These models are increasingly used for societal applications such as classifying patients into two categories according to the presence or absence of a certain disease like cancer and heart disease. I argue that the construction of ML classification models involves an optimisation process aiming at the minimization of the inductive risk associated with the intended uses of these models. I also argue that the construction of these models is (...) underdetermined by the available data, and that this makes it necessary for ML modellers to make social value judgments in determining the error costs used in ML optimization. I thus suggest that the assessment of the inductive risk with respect to the social values of the intended users is an integral part of the construction and evaluation of ML classification models. I also discuss the implications of this conclusion for the philosophical debate concerning inductive risk. (shrink)

Many philosophers have challenged the ideal of value-free science on the grounds that social or moral values are relevant to inferential thresholds. But given this view, how precisely and to what extent should scientists adjust their inferential thresholds in light of nonepistemic values? We suggest that signal detection theory provides a useful framework for addressing this question. Moreover, this approach opens up further avenues for philosophical inquiry and has important implications for philosophical debates concerning inductive risk. For example, the signal (...) detection theory framework entails that considerations of inductive risk and inferential-threshold placement cannot be conducted in isolation from base-rate information. (shrink)

After a brief review of the relationship between science and value, this paper introduces the value of ‘traditionality’ as a value in the pure and applied sciences. Along with other recognized values, this value can also contribute to formulating hypotheses and determining theories. There are three reasons for legitimizing the internal role of this value in science: first, this value can contribute to scientific progress by presenting more diverse hypotheses; second, the value of external consistency in science entails this value; (...) and third, this value helps to eliminate some of the adverse social and cultural effects of Western science in non-Western societies. ‘Traditionality’ is an extrinsic epistemic value, according to the first two reasons, and at the same time, is an ethical value, according to the last reason. Also, the ethics of belief is adopted to further confirm the ethical role of this value. Finally, this paper discusses three potential criticisms that can be levelled against this idea and responds to each of them. (shrink)

The trustworthiness of nutrition science has been questioned recently. According to the critics, the food industry has corrupted scientists in the field. I argue that the worries that commercialization threatens the epistemic trustworthiness of nutrition science are indeed well-founded. However, it is problematic that the discussion has revolved around how funding can threaten the integrity of researchers and the methodological quality of the studies. By extending Wilholt’s :233–253, 2013) account of epistemic trustworthiness, I argue that when assessing the epistemic trustworthiness (...) of research that forms the basis for different health policy measures, it is necessary to evaluate research at the macro-level and whether agenda setting advances the goals that are assigned to the field. The prevalence of commercial funding becomes problematic if it leads to a situation where the body of available evidence that is used for making health policy decisions does not reflect the shared sense of what epistemic and non-epistemic goals of the inquiry are important. (shrink)

In this paper, I discuss the objectivity of science in the context of commercialized research. Objectivity has traditionally been associated with the behavior of individual scientists and their willingness and ability to base their reasoning on data and logic. By introducing some examples of problematic practices in current research, I show that this view is insufficient. A view that I call the Social View on objectivity succeeds better in accommodating the way in which commercialization affects research.

In this paper I argue that the value attributed to coral reefs drives the characterisation of evidence for their regeneration or degradation. I observe that regeneration and degradation depend on an understanding of what an ecosystem looks like when undegraded (a baseline), and that many mutually exclusive baselines can be given for any single case. Consequently, facts about ecological processes are insufficient to usefully and non-arbitrarily characterise changes to ecosystems. By examining how baselines and the value of reefs interact in (...) coral and algal reef examples, I argue that considering the value of an ecosystem is a necessity when describing processes like regeneration and degradation. This connects value as studied in socio-ecological and economic research with values as discussed in the philosophy of science literature. It also explains why such a broad range of processes may be considered regenerative, including those which introduce significant novelty, as well as pointing towards ways to mediate related debates, such as those surrounding novel and ‘pristine’ ecosystems. (shrink)

In a recent paper, Gregor Betz has defended the value-free ideal: “the justification of scientific findings should not be based on non-epistemic values”against the methodological critique, by reference to the work of the International Panel on Climate Change . This paper argues that Betz’s defence is unsuccessful. First, Betz’s argument is sketched, and it is shown that the IPCC does not avoid the need to “translate” claims. In Section 2, it is argued that Betz mischaracterises the force of the methodological (...) critique. Section 3 shows why the methodological critique still applies to the work of the IPCC even on a refined version of Betz’s argument. Section 4 then considers an alternative way of defending the work of the IPCC which is in-line with, but does not clearly vindicate, the value-free ideal. (shrink)

Several types of inferences are employed in the diagnosis and prognosis of patients with brain injuries and disorders of consciousness. These inferences introduce unavoidable uncertainty, and can be evaluated in light of inductive risk: the epistemic and nonepistemic risks of being wrong. This article considers several ethically significant inductive risks generated by and interacting with inferences about patients with disorders of consciousness, and argues for prescriptive measures to manage and mitigate inductive risk in the context of disorders of consciousness.

The paper explores some normative challenges concerning the integration of Machine Learning (ML) algorithms into anticorruption in public institutions. The challenges emerge from the tensions between an approach treating ML algorithms as allies to an exclusively legalistic conception of anticorruption and an approach seeing them within an institutional ethics of office accountability. We explore two main challenges. One concerns the variable opacity of some ML algorithms, which may affect public officeholders’ capacity to account for institutional processes relying upon ML techniques. (...) The other pinpoints the risk that automating certain institutional processes may weaken officeholders’ direct engagement to take forward-looking responsibility for the working of their institution. We discuss why both challenges matter to see how ML algorithms may enhance (and not hinder) institutional answerability practices. (shrink)

We provide an analysis of the public's having warranted epistemic trust in science, that is, the conditions under which the public may be said to have well-placed trust in the scientists as providers of information. We distinguish between basic and enhanced epistemic trust in science and provide necessary conditions for both. We then present the controversy regarding the connection between autism and measles–mumps–rubella vaccination as a case study to illustrate our analysis. The realization of warranted epistemic public trust in science (...) requires various societal conditions, which we briefly introduce in the concluding section. (shrink)

Building, restoring and maintaining well-placed trust between scientists and the public is a difficult yet crucial social task requiring the successful cooperation of various social actors and institutions. Kitcher’s takes up this challenge in the context of liberal democratic societies by extending his ideal model of “well-ordered science” that he had originally formulated in his. However, Kitcher nowhere offers an explicit account of what it means for the public to invest epistemic trust in science. Yet in order to understand how (...) his extended model and its implementation in the actual world address the problem of trust as well as to evaluate it critically, an explicit account of epistemic public trust in science needs to be given first. In this article we first present such an account and then scrutinize his project of building public trust in science in light of it. We argue that even though Kitcher’s ideal model and his proposals for its implementation in the real world face a number of problems, they can be addressed with the resources of our account. (shrink)

Although there is increased recognition of the inevitable--and perhaps sometimes beneficial-- role of values in scientific inquiry, there are also growing concerns about the potential for commercial values to lead to bias. This is particularly evident in biomedical research. There is a concern that conflicts of interest created by commercialization may lead to biased reasoning or methodological choices in testing drugs and medical interventions. In addition, such interests may lead research in directions that are unresponsive to pressing social needs, when (...) it is profitable to do so. Feminist philosophy of science seems particularly well situated to provide resources to help address such concerns because this literature has both 1) theorized about how to minimize biases in science, e.g., sexist or androcentric biases, and 2) generated accounts of objectivity that do not require individual scientists to be value-neutral or disinterested. Two such accounts are assessed in relation to concerns about commercial bias: those offered by feminist empiricism and standpoint feminism. We argue that standpoint feminism is more promising because it has resources to address, not just the epistemological, but also the inescapably ethical dimensions of commercial bias. (shrink)

Contextualist treatments of clashes of intuitions can allow that two claims, apparently in conflict, can both be true. But making true utterances is far from the only thing that matters — there are often substantive normative questions about what contextual parameters are appropriate to a given conversational situation. This paper foregrounds the importance of the social power to set contextual standards, and how it relates to injustice and oppression, introducing a phenomenon I call "contextual injustice," which has to do with (...) the unjust manipulation of conversational parameters in context-sensitive discourse. My central example applies contextualism about knowledge ascriptions to questions about knowledge regarding sexual assault allegations, but I will also discuss parallel dynamics in other examples of context-sensitive language involving politically significant terms, including gender terms. The central upshot is that the connections between language, epistemology, and social justice are very deeply interlinked. (shrink)

Is it possible to redress a wrong specifically in one’s capacity as a knower? Epistemic justice has largely been conceived of as either an ideal goal guiding present and future societal endeavours, or a set of ameliorative character virtues. Yet there is also a backward-looking component of epistemic justice, which has so far been neglected. I argue that exercises of our cognitive and epistemic capacities can constitute moral redress for wrong actions and wrongful harms for which we are responsible. Epistemic (...) redress can take non-doxastic forms, but can also involve the formation of new beliefs. Acts of epistemic redress can redress not only epistemic but also non-epistemic wrongs. In the practice of natural science, epistemic redress can play legitimate and necessary roles both within and outside the core procedures of scientific reasoning, without compromising science’s truth-orientated epistemic credentials. When it plays these roles, it can contribute to generating restitutive knowledge. (shrink)

In recent years, the value-freeness of science has come under extensive critique. Early objectors to the notion of value-free science can be found in Rudner and Churchman, later objections occur in Leach and Gaa, and more recent critics are Kitcher, Douglas, and Elliott. The goal of this paper is to examine and critique two arguments opposed to the notion of a value-free science. The first argument, the uncertainty argument, cites the endemic uncertainty of science and concludes that values are needed (...) to give direction to scientific investigation. The second, or moral argument, cites the fact that scientists have moral obligations just like everyone else, and.. (shrink)

In an important 2006 paper, Nishi Shah defends ‘evidentialism’, the position that only evidence for a proposition’s truth constitutes a reason to believe this proposition. In opposition to Shah, Anthony Robert Booth, Andrew Reisner and Asbjørn Steglich-Petersen argue that things other than evidence of truth, so-called non-evidential or ‘pragmatic’ reasons, constitute reasons to believe a proposition. I argue that we can effectively respond to Shah’s pragmatist critics if, following Shah, we are careful to distinguish the evaluation of the reasons for (...) a belief from the process of actually forming a belief and allowing it to influence action. Drawing this distinction is assisted if we utilize Rudolf Carnap’s probabilistic interpretation of what it means to be disposed to believe a claim. (shrink)

In this paper I shall defend the idea that there is an abstract and general core meaning of objectivity, and what is seen as a variety of concepts or conceptions of objectivity are in fact criteria of, or means to achieve, objectivity. I shall then discuss the ideal of value-free science and its relation to the objectivity of science; its status can be at best a criterion of, or means for, objectivity. Given this analysis, we can then turn to the (...) problem of inductive risk. Do the value judgements regarding inductive risk really pose a threat to the objectivity of science? I claim that this is not the case because they do not lower the thresholds scientifically postulated for objectivity. I shall conclude the paper with a discussion of under-appreciated influences of values on science, which indeed pose a serious threat to the objectivity of some scientific disciplines. (shrink)

There is now a general consensus amongst philosophers in the values in science literature that values necessarily play a role in core areas of scientific inquiry. We argue that attention should now be turned from debating the value-free ideal to delineating legitimate from illegitimate influences of values in science, a project we dub “The New Demarcation Problem.” First, we review past attempts to demarcate the uses of values and propose a categorization of the strategies by where they seek to draw (...) legitimacy from. Next, we propose a set of desiderata for what we take to be a satisfactory solution and present a case study where conflicting sets of values clearly impinge on science, but where the legitimacy of their influence is ambiguous. We use these desiderata and the case study to illustrate what we take to be the strengths and weaknesses of current strategies. To be clear, our goal is not to answer the question we pose, but to articulate a framework within which a solution can be judged. (shrink)

Philosophy of medicine has traditionally examined two issues: the scientific ontology for medicine and the epistemic significance of the types of evidence used in medical research. In answering each question, philosophers have typically brought to bear tools from traditional analytic philosophy. In contrast, this volume explores medical knowledge from the perspective offered by social epistemology.While many of the same issues are addressed, the approach to these issues generates both fresh questions and new insights into old debates. In addition, the broader (...) purview offered by social epistemology opens up opportunities to address new topics such as the role of consensus conferences, epistemic injustice, the value of medical knowledge, continuing medical education, and industry funding. This article situates and summarizes the contributions to this special issue. (shrink)

Between the fourth and the recent fifth IPCC report, science as well as policy making have made great advances in dealing with uncertainties in global climate models. However, the uncertainties public decision making has to deal with go well beyond what is currently addressed by policy makers and climatologists alike. It is shown in this paper that within an anthropocentric framework, a whole hierarchy of models from various scientific disciplines is needed for political decisions as regards climate change. Via what (...) is sometimes referred to as ‘uncertainty cascade’ in the technical literature, the uncertainties of various models accumulate in the input to political decision making. This paper aims to chart the uncertainties in the multi-disciplinary enterprise of current climate modeling in broad strokes. It is shown that the uncertainty cascade makes it impossible to quantify uncertainties in the form of probability estimates. Moreover the paper highlights how global climate models fail to provide probability estimates. A better treatment of the uncertainties of climate predictions on the political level would require an overhaul of the current IPCC practice that separates the various scientific fields in various working groups. (shrink)

Inmaculada de Melo-Martín and Kristen Intemann consider whether, from the perspective of the argument from inductive risk, ethical and political values might be logically, epistemically, pragmatically, or ethically necessary in the “core” of scientific reasoning. In each case, they argue that there are significant conceptual problems. In this comment, employing regulatory uses of high-throughput toxicology at the US Environmental Protection Agency as a case study, I respond to some of their claims about the notion of “pragmatic necessity.” I conclude that, (...) while an inductive risk framework has some significant limitations, it is still conceptually and rhetorically valuable. (shrink)

This paper examines the scientific controversy over the yields of genetically modified [GM] crops as a case study in epistemologically deep disagreements. Appeals to “the evidence” are inadequate to resolve such disagreements; not because the interlocutors have radically different metaphysical views (as in cases of incommensurability), but instead because they assume rival epistemological frameworks and so have incompatible views about what kinds of research methods and claims count as evidence. Specifically, I show that, in the yield debate, proponents and opponents (...) of GM crops cite two different sets of claims as evidence, which correspond to two rival epistemological frameworks, classical experimental epistemology and Nancy Cartwright's evidence for use. I go on to argue that, even if both sides of the debate accepted Cartwright's view, they might still disagree over what counts as evidence, because evidence for use ties standards of evidence to what is sometimes called the “context of application.”. (shrink)

The controversy over the old ideal of “value-free science” has cooled significantly over the past decade. Many philosophers of science now agree that even ethical and political values may play a substantial role in all aspects of scientific inquiry. Consequently, in the last few years, work in science and values has become more specific: Which values may influence science, and in which ways? Or, how do we distinguish illegitimate from illegitimate kinds of influence? In this paper, I argue that this (...) problem requires philosophers of science to take a new direction. I present two case studies in the influence of values on scientific inquiry: feminist values in archaeology and commercial values in pharmaceutical research. I offer a preliminary assessment of these cases, that the influence of values was legitimate in the feminist case, but not in the pharmaceutical case. I then turn to three major approaches to distinguish legitimate from illegitimate influences of values, including the distinction between epistemic and non-epistemic values and Heather Douglas’ distinction between direct and indirect roles for values. I argue that none of these three approaches gives an adequate analysis of the two cases. In the concluding section, I briefly sketch my own approach, which draws more heavily on ethics than the others, and is more promising as a solution to the current problem. This is the new direction in which I think science and values should move. (shrink)

Many instances of scientific research impose risks, not just on participants and scientists but also on third parties. This class of social risks unifies a range of problems previously treated as distinct phenomena, including so-called bystander risks, biosafety concerns arising from gain-of-function research, the misuse of the results of dual-use research, and the harm caused by inductive risks. The standard approach to these problems has been to extend two familiar principles from human subjects research regulations—a favorable risk-benefit ratio and informed (...) consent. We argue, however, that these moral principles will be difficult to satisfy in the context of widely distributed social risks about which affected parties may reasonably disagree. We propose that framing these risks as political rather than moral problems may offer another way. By borrowing lessons from political philosophy, we propose a framework that unifies our discussion of social risks and the possible solutions to them. (shrink)

The argument from inductive risk, as developed by Rudner and others, famously concludes that the scientist qua scientist makes value judgments. The paper aims to show that trust in the soundness of the argument is overrated – that philosophers who endorse its conclusion fail to refute two of the most important objections that have been raised to its soundness: Jeffrey’s objection that the genuine task of the scientist is to assign probabilities to hypotheses, and Levi’s objection that the argument is (...) ambiguous about decisions about how to act and decisions about what to believe, that only the former presuppose value judgments, and that qua scientist, the scientist only needs to decide what to believe. (shrink)

The terms ``objectivity'''' and ``objective'''' are among the mostused yet ill-defined terms in the philosophy of science and epistemology. Common to all thevarious usages is the rhetorical force of ``I endorse this and you should too'''', orto put it more mildly, that one should trust the outcome of the objectivity-producing process.The persuasive endorsement and call to trust provide some conceptual coherenceto objectivity, but the reference to objectivity is hopefully not merely an attemptat persuasive endorsement. What, in addition to epistemological endorsement,does (...) objectivity carry with it? Drawing on recent historical and philosophical work,I articulate eight operationally accessible and distinct senses of objectivity.While there are links among these senses, providing cohesion to the concept, I argue thatnone of the eight senses is strictly reducible to the others, giving objectivity itsirreducible complexity. (shrink)

There are a number of research fields that exhibit a special connection to some particular activist movement. Typically in these cases, we observe a remarkable degree of personnel overlap between the movements and the scientific communities. I have two primary aims. First, I shall explore the reasons why there are such close entanglements between some research fields and some activist movements. I argue that both scientists and activists have specific epistemic interests that help explain why both practices tend to intersect (...) functionally. Second, I shall evaluate these entanglements from an epistemological point of view. Drawing on a conception of science that has science consisting of two essential tasks—asking significant questions and adequately answering them—, I argue that activists’ contribution to science is ambivalent with regard to the first task because they can help to overcome the unjust distribution of resources, but they can also be the source of new inequalities. Regarding the second task, I similarly suggest that activists can serve a useful purpose in science, since they tend to exhibit certain epistemically valuable properties and can help compensate for what I call collective biases, although in certain situations they tend to reinforce collective biases. (shrink)

_ Source: _Page Count 39 What is the correct epistemic stance that laypeople should take vis-a-vis epistemic authorities? The author provides an answer to this question based on a critical examination of Linda Zagzebski’s _Preemption Thesis_, according to which the fact that an authority has a belief p is a reason for a layperson to believe p that replaces her other reasons relevant to believing p and is not simply added to them. In contrast, the author argues that _epistemic deference_ (...) requires a layperson to perform a number of epistemic tasks and involves an active and critical stance that conflicts with the Preemption Thesis. (shrink)

What is the correct epistemic stance that laypeople should take vis-a-vis epistemic authorities? The author provides an answer to this question based on a critical examination of Linda Zagzebski’s Preemption Thesis, according to which the fact that an authority has a belief p is a reason for a layperson to believe p that replaces her other reasons relevant to believing p and is not simply added to them. In contrast, the author argues that epistemic deference requires a layperson to perform (...) a number of epistemic tasks and involves an active and critical stance that conflicts with the Preemption Thesis. (shrink)

What is the best method for undertaking critical social theory, and what are its ontological and normative commitments? Andreas Reckwitz has developed compelling answers to these questions drawing on practice theory. As a practice theorist myself, I am very sympathetic to his approach. This paper sketches a social theory that extends the reach of practice theory to include non-human animals and allows us to discriminate between importantly different kinds of social formations. In doing so, I argue that a strongly normative (...) basis for differentiating social phenomena is compatible with the methods of social theory and critical social theorists need not shy away from first-order moral commitments. (shrink)

Deepfakes pose a multi-faceted threat to the acquisition of knowledge. It is widely hoped that technological solutions—in the form of artificially intelligent systems for detecting deepfakes—will help to address this threat. I argue that the prospects for purely technological solutions to the problem of deepfakes are dim. Especially given the evolving nature of the threat, technological solutions cannot be expected to prevent deception at the hands of deepfakes, or to preserve the authority of video footage. Moreover, the success of such (...) technologies depends on institutional trust that is in short supply. Finally, outsourcing the discrimination between the real and the fake to automated, largely opaque systems runs the risk of undermining epistemic autonomy. (shrink)

Machine learning models are becoming increasingly prevalent in algorithmic trading and investment management. The spread of machine learning in finance challenges existing practices of modelling and model use and creates a demand for practical solutions for how to manage the complexity pertaining to these techniques. Drawing on interviews with quants applying machine learning techniques to financial problems, the article examines how these people manage model complexity in the process of devising machine learning-powered trading algorithms. The analysis shows that machine learning (...) quants use Ockham’s razor – things should not be multiplied without necessity – as a heuristic tool to prevent excess model complexity and secure a certain level of human control and interpretability in the modelling process. I argue that understanding the way quants handle the complexity of learning models is a key to grasping the transformation of the human’s role in contemporary data and model-driven finance. The study contributes to social studies of finance research on the human–model interplay by exploring it in the context of machine learning model use. (shrink)

Cognitive values like simplicity, broad scope, and easy handling are properties of a scientific representation that result from the idealization which is involved in the construction of a representation. These properties may facilitate the application of epistemic values to credibility assessments, which provides a rationale for assigning an auxiliary function to cognitive values. In this paper, I defend a further rationale for cognitive values which consists in the assessment of the usefulness of a representation. Usefulness includes the relevance of a (...) representation regarding the investigation of a given problem and its practicability for the users. This rationale builds on the claim that any evaluation of scientific representations should pursue two aims: providing information about their credibility and providing information about their usefulness. Cognitive values relating to the usefulness of a representation and epistemic values relating to its credibility both perform a first-order function. Cognitive values are abstract, and several values with first-order functions may conflict in their application. Thus, in order for cognitive values to account for the sort of problem that is to be investigated by means of a representation, they need to be appropriately specified and weighed. Comprehensiveness, complexity, high resolution, and easy handling, for instance, may be required in a first-order function for model-based prediction of regional climate impacts but not for explaining how the global climate system works. Specifying and weighing cognitive and epistemic values relative to a given problem is a legitimate second-order function of social values. (shrink)

The proper role of non-epistemic values such as moral, political, and social values in practices of justification of policy-relevant hypotheses has recently become one of the central questions in philosophy of science. This strand of research has yielded conceptual clarifications and significant insight into the complex and notoriously contentious issue of the proper relationship between science, non-epistemic values, and policymaking. A central part of this discussion revolves around whether scientists should aspire for the value-free ideal, according to which non-epistemic values (...) are unacceptable in the justification of hypotheses. By so doing, scientists can... (shrink)

The role of scientists as experts is crucial to public policymaking. However, the expert role is contested and unsettled in both public and scholarly discourse. In this paper, I provide a systematic account of the role of scientists as experts in policymaking by examining whether there are any normatively relevant differences between this role and the role of scientists as researchers. Two different interpretations can be given of how the two roles relate to each other. The separability view states that (...) there is a normatively relevant difference between the two roles, whereas the inseparability view denies that there is such a difference. Based on a systematic analysis of the central aspects of the role of scientists as experts – that is, its aim, context, mode of output, and standards, I propose a moderate version of the separability view. Whereas the aim of scientific research is typically to produce new knowledge through the use of scientific method for evaluation and dissemination in internal settings, the aim of the expert is to provide policymakers and the public with relevant and applicable knowledge that can premise political reasoning and deliberation. (shrink)

This paper examines the conditions of trustworthy science advice mechanisms, in which scientists have a mandated role to inform public policymaking. Based on the literature on epistemic trust and public trust in science, we argue that possession of relevant expertise, justified moral and political considerations, as well as proper institutional design are conditions for trustworthy science advice. In order to assess these conditions further, we explore the case of temporary advisory committees in Norway. These committees exemplify a de facto trusted (...) and seemingly well-functioning science advice mechanism. Still, this mechanism turns out to poorly realize some central conditions of trustworthy science advice. From this we draw three lessons. Firstly, it remains crucial to distinguish between well-placed and de facto trust. Secondly, some conditions of trustworthy science advice seem more significant than others and there are thresholds for realizing each condition. Thirdly, not only does the institutional design and organization of science advice matter more than often recognized; the trust and trustworthiness of the broader social and political context and institutional environment make a difference as well. (shrink)

In recent philosophy of science there has been much discussion of both pluralism, which embraces scientific terms with multiple meanings, and eliminativism, which rejects such terms. Some recent work focuses on the conditions that legitimize pluralism over eliminativism – the conditions under which such terms are acceptable. Often, this is understood as a matter of encouraging effective communication – the danger of these terms is thought to be equivocation, while the advantage is thought to be the fulfilment of ‘bridging roles’ (...) that facilitate communication between different scientists and specialisms. These theories are geared towards regulating communication between scientists qua scientists. However, this overlooks an important class of harmful equivocation that involves miscommunication between scientists and nonscientists, such as the public or policymakers. To make my case, I use the example of theory of mind, also known as ‘mindreading’ and ‘mentalizing’, and broadly defined as the capacity to attribute mental states to oneself and others. I begin by showing that ‘theory of mind’ has multiple meanings, before showing that this has resulted in harmful equivocations of a sort and in a way not accounted for by previous theories of pluralism and eliminativism. (shrink)

Dans les discussions concernant la sous-représentation des femmes dans le domaine de la philosophie professionnelle, ceux et celles qui sont sceptiques quant à l’explication par la discrimination suggèrent souvent que les différences de genre dans les intérêts constituent une autre hypothèse possible. Certain.e.s croient que si les intérêts différents des femmes expliquaient la sous-représentation, les interventions suggérées par l’hypothèse de la discrimination ne seraient pas nécessaires, voire seraient risquées. Je maintiens qu’on doit considérer la façon dont les stéréotypes exerceraient une (...) influence sur les intérêts, et que ce faisant, on peut offrir une évaluation plus équilibrée des risques découlant des interventions proposées. (shrink)

The independence of research is a key strategic issue of modern societies. Dealing with it appropriately poses legal, economic, political, social and cultural problems for society, which have been studied by the corresponding disciplines and are increasingly the subject of reflexive discourses of scientific communities. Unfortunately, problems of independence are usually framed in disciplinary contexts without due consideration of other perspectives’ relevance or possible contributions. To overcome these limitations, we review disciplinary perspectives and findings on the independence of research and (...) identify interdisciplinary prospects that could inform a research programme. (shrink)

The paper seeks to contribute to clarifying agnotology as an ‘epistemic strategy’, conceived as ‘epistemically damaging and hurt[ing] the production of knowledge’. My general claim is that the grammar of intentions ‘embedded’ in agnotological arguments is often not considered accurately. I use considerations from the philosophy of action as a theoretical framework to make more explicit what is implied in agnogenetic manoeuvres. Agnotology, as a ‘theory’ about epistemic states, in particular knowledge and ignorance, would be seriously incomplete without that component. (...) The following can thus be read as a contribution to an analysis of the presuppositions of the strategic variant of Agnotology. My first claim is that the more common objections to the introduction of intentions are in no way definitive. My second, more specific, claim is that we need a room, in our conceptual toolbox, for ‘anti-epistemic intentions’, which play a key role in agnotological arguments. (shrink)

Synchronic norms of theory choice, a traditional concern in scientific methodology, restrict the theories one can choose in light of given information. Diachronic norms of theory change, as studied in belief revision, restrict how one should change one’s current beliefs in light of new information. Learning norms concern how best to arrive at true beliefs. In this paper, we undertake to forge some rigorous logical relations between the three topics. Concerning, we explicate inductive truth conduciveness in terms of optimally direct (...) convergence to the truth, where optimal directness is explicated in terms of reversals and cycles of opinion prior to convergence. Concerning, we explicate Ockham’s razor and related principles of choice in terms of the information topology of the empirical problem context and show that the principles are necessary for reversal or cycle optimal convergence to the truth. Concerning, we weaken the standard principles of agm belief revision theory in intuitive ways that are also necessary for reversal or cycle optimal convergence. Then we show that some of our weakened principles of change entail corresponding principles of choice, completing the triangle of relations between,, and. (shrink)

Synchronic norms of theory choice, a traditional concern in scientific methodology, restrict the theories one can choose in light of given information. Diachronic norms of theory change, as studied in belief revision, restrict how one should change one’s current beliefs in light of new information. Learning norms concern how best to arrive at true beliefs. In this paper, we undertake to forge some rigorous logical relations between the three topics. Concerning, we explicate inductive truth conduciveness in terms of optimally direct (...) convergence to the truth, where optimal directness is explicated in terms of reversals and cycles of opinion prior to convergence. Concerning, we explicate Ockham’s razor and related principles of choice in terms of the information topology of the empirical problem context and show that the principles are necessary for reversal or cycle optimal convergence to the truth. Concerning, we weaken the standard principles of agm belief revision theory in intuitive ways that are also necessary for reversal or cycle optimal convergence. Then we show that some of our weakened principles of change entail corresponding principles of choice, completing the triangle of relations between,, and. (shrink)

Simple extrapolation is the orthodox approach to extrapolating from clinical trials in evidence-based medicine: extrapolate the relative effect size from the trial unless there is a compelling reason not to do so. I argue that this method relies on a myth and a fallacy. The myth of simple extrapolation is the idea that the relative risk is a ‘golden ratio’ that is usually transportable due to some special mathematical or theoretical property. The fallacy of simple extrapolation is an unjustified argument (...) from ignorance: we conclude that the relative effect size is transportable in the absence of evidence to the contrary. In short, simple extrapolation is a deeply problematic solution to the problem of extrapolation. (shrink)

Using climate policy debates as a case study, I argue that a certain response to the argument from inductive risk, the hedging defense, runs afoul of a reasonable ethical principle: the no-passing-...

Environmental health research produces scientific knowledge about environmental hazards crucial for public health and environmental justice movements that seek to prevent or reduce exposure to these hazards. The environment in environmental health research is conceptualized as the range of possible social, biological, chemical, and/or physical hazards or risks to human health, some of which merit study due to factors such as their probability and severity, the feasibility of their remediation, and injustice in their distribution. This paper explores the ethics of (...) identifying the relevant environment for environmental health research, as judgments involved in defining an environmental hazard or risk, judgments of that hazard or risk's probability, severity, and/ or injustice, as well as the feasibility of its remediation, all ought to appeal to non-epistemic as well as epistemic values. I illustrate by discussing the case of environmental lead, a housing-related hazard that remains unjustly distributed by race and class and is particularly dangerous to children. Examining a controversy in environmental health research ethics where researchers tested multiple levels of lead abatement in lead-contaminated households, I argue that the broader perspective on the ethics of environmental health research provided in the first part of this paper may have helped prevent this controversy. (shrink)

This paper explores interactions between ecological science and conservation values in the biodiversity-ecosystem function debate of the 1990–2000s. The scientific debate concerned the interpretation of observed correlations between species richness and ecosystem properties like primary productivity in experimental ecosystems. The debate over the causal or explanatory role of species richness was presumed to have implications for conservation policy, and the use of such research to support policy recommendations generated hostility between rival groups of ecologists. I argue that the debate was (...) due in part to the adoption of a broad conception of biodiversity as a goal and value in conservation politics and ethical debates, and the ecologists who questioned the causal efficacy of species richness were also suggesting problems with this goal. I characterize what I call the “uneasy consensus” established by BEF researchers in the late 2000s, discuss roles for values in BEF research, and suggest that this episode shows that ecological science can itself be an important site for ethical debates about conservation values. (shrink)

This paper discusses ethical issues surrounding Integrated Assessment Models (IAMs) of the economic effects of climate change, and how climate economists acting as policy advisors ought to represent the uncertain possibility of catastrophe. Some climate economists, especially Martin Weitzman, have argued for a precautionary approach where avoiding catastrophe should structure climate economists’ welfare analysis. This paper details ethical arguments that justify this approach, showing how Weitzman’s “fat tail” probabilities of climate catastrophe pose ethical problems for widely used IAMs. The main (...) claim is that economists who ignore or downplay catastrophic risks in their representations of uncertainty likely fall afoul of ethical constraints on scientists acting as policy advisors. Such scientists have duties to honestly articulate uncertainties and manage (some) inductive risks, or the risks of being wrong in different ways. (shrink)