Throughout the biological and biomedical sciences there is a growing need for, prescriptive ‘minimum information’ (MI) checklists specifying the key information to include when reporting experimental results are beginning to find favor with experimentalists, analysts, publishers and funders alike. Such checklists aim to ensure that methods, data, analyses and results are described to a level sufficient to support the unambiguous interpretation, sophisticated search, reanalysis and experimental corroboration and reuse of data sets, facilitating the extraction of maximum value from data sets (...) them. However, such ‘minimum information’ MI checklists are usually developed independently by groups working within representatives of particular biologically- or technologically-delineated domains. Consequently, an overview of the full range of checklists can be difficult to establish without intensive searching, and even tracking thetheir individual evolution of single checklists may be a non-trivial exercise. Checklists are also inevitably partially redundant when measured one against another, and where they overlap is far from straightforward. Furthermore, conflicts in scope and arbitrary decisions on wording and sub-structuring make integration difficult. This presents inhibit their use in combination. Overall, these issues present significant difficulties for the users of checklists, especially those in areas such as systems biology, who routinely combine information from multiple biological domains and technology platforms. To address all of the above, we present MIBBI (Minimum Information for Biological and Biomedical Investigations); a web-based communal resource for such checklists, designed to act as a ‘one-stop shop’ for those exploring the range of extant checklist projects, and to foster collaborative, integrative development and ultimately promote gradual integration of checklists. (shrink)

This is a reply to de Sousa's 'Emotional Truth', in which he argues that emotions can be objective, as propositional truths are. I say that it is better to distinguish between truth and accuracy, and agree with de Sousa to the extent of arguing that emotions can be more or less accurate, that is, based on the facts as they are.

The Significance Argument (SA) for the irreducibility of consciousness is based on a series of new puzzle-cases that I call multiple candidate cases. In these cases, there is a multiplicity of physical-functional properties or relations that are candidates to be identified with the sensible qualities and our consciousness of them, where those candidates are not significantly different. I will argue that these cases show that reductive materialists cannot accommodate the various ways in which consciousness is significant and must allow massive (...) vagueness in conscious experience. I also will argue that a nonreductive theory of the conscious-of relation can easily provide a very satisfying, unified explanation of the ways in which this relation is significant. (shrink)

In recent years, humans’ ability to selectively modify genes has increased dramatically as a result of the development of new, more efficient, and easier genetic modification technology. In this paper, we argue in favor of using this technology to improve the welfare of agricultural animals. We first argue that using animals genetically modified for improved welfare is preferable to the current status quo. Nevertheless, the strongest argument against pursuing gene editing for welfare is that there are alternative approaches to addressing (...) some of the challenges of modern agriculture that may offer ethical advantages over genetic modification; namely, a dramatic shift towards plant-based diets or the development of in vitro meat. Nevertheless, we provide reasons for thinking that despite these possible comparative disadvantages there are important reasons for continuing the pursuit of welfare improvements via genetic modification. (shrink)

In this paper, I consider the relationship between Inference to the Best Explanation and Bayesianism, both of which are well-known accounts of the nature of scientific inference. In Sect. 2, I give a brief overview of Bayesianism and IBE. In Sect. 3, I argue that IBE in its most prominently defended forms is difficult to reconcile with Bayesianism because not all of the items that feature on popular lists of “explanatory virtues”—by means of which IBE ranks competing explanations—have confirmational import. (...) Rather, some of the items that feature on these lists are “informational virtues”—properties that do not make a hypothesis \ more probable than some competitor \ given evidence E, but that, roughly-speaking, give that hypothesis greater informative content. In Sect. 4, I consider as a response to my argument a recent version of compatibilism which argues that IBE can provide further normative constraints on the objectively correct probability function. I argue that this response does not succeed, owing to the difficulty of defending with any generality such further normative constraints. Lastly, in Sect. 5, I propose that IBE should be regarded, not as a theory of scientific inference, but rather as a theory of when we ought to “accept” H, where the acceptability of H is fixed by the goals of science and concerns whether H is worthy of commitment as research program. In this way, IBE and Bayesianism, as I will show, can be made compatible, and thus the Bayesian and the proponent of IBE can be friends. (shrink)

People engage in pure moral inquiry whenever they inquire into the moral features of some act, agent, or state of affairs without inquiring into the non-moral features of that act, agent, or state of affairs. This chapter argues that ordinary people act rationally when they engage in pure moral inquiry, and so any adequate view in metaethics ought to be able to explain this fact. The Puzzle of Pure Moral Motivation is how to provide such an explanation. This chapter argues (...) that each of the standard views in metaethics has trouble providing such an explanation. Discussion of why reveals that a metaethical view can provide such an explanation only if it meets two constraints: it allows ordinary moral inquirers to know the essences of moral properties, and the essence of each moral property makes it rational to care for its own sake whether that property is instantiated. (shrink)

Develops an empirical argument against naive realism-disjunctivism: if naive realists accept "internal dependence", then they cannot explain the evolution of perceptual success. Also presents a puzzle about our knowledge of universals.

In this essay, we draw on John Haugeland’s work in order to argue that Burge is wrong to think that exercises of perceptual constancy mechanisms suffice for perceptual representation. Although Haugeland did not live to read or respond to Burge’s Origins of Objectivity, we think that his work contains resources that can be developed into a critique of the very foundation of Burge’s approach. Specifically, we identify two related problems for Burge. First, if (what Burge calls) mere sensory responses are (...) not representational, then neither are exercises of constancy mechanisms, since the differences between them do not suffice to imply that one is representational and the other is not. Second, taken by themselves, exercises of constancy mechanisms are only derivatively representational, so merely understanding how they work is not sufficient for understanding what is required for something, in itself, to be representational (and thereby provide a full solution to the problem of perceptual representation). (shrink)

Recent philosophy of science has seen a number of attempts to understand scientific models by looking to theories of fiction. In previous work, I have offered an account of models that draws on Kendall Walton’s ‘make-believe’ theory of art. According to this account, models function as ‘props’ in games of make-believe, like children’s dolls or toy trucks. In this paper, I assess the make-believe view through an empirical study of molecular models. I suggest that the view gains support when we (...) look at the way that these models are used and the attitude that users take towards them. Users’ interaction with molecular models suggests that they do imagine the models to be molecules, in much the same way that children imagine a doll to be a baby. Furthermore, I argue, users of molecular models imagine themselves viewing and manipulating molecules, just as children playing with a doll might imagine themselves looking at a baby or feeding it. Recognising this ‘participation’ in modelling, I suggest, points towards a new account of how models are used to learn about the world, and helps us to understand the value that scientists sometimes place on three-dimensional, physical models over other forms of representation. (shrink)

Philosophy &Public Affairs, Volume 46, Issue 4, Page 363-383, Fall 2018.

Theorists have had less success in analyzing the truth conditions of generics. Philosophers of language have offered a number of theories. This chapter surveys several semantic accounts of generics. However, the focus is on generics and experimental philosophy. It briefly reviews empirical work that bears on these semantic accounts. While generics constitute an interesting linguistic phenomenon worthy of study in their own right, the study of generics also has wide‐ranging implications for questions beyond the philosophy of language, including questions in (...) social psychology and cognitive science more generally. The chapter also reviews empirical work on the relationship between generics and cognition. Existing empirical work strongly supports the generics‐as‐defaults hypothesis: the hypothesis that generics reflect a cognitively default, fundamental mode of generalizing in humans. Finally, the chapter elucidates evidence that generic language and generic modes of generalizing play an important role in stereotyping and prejudice. (shrink)

I relate plural quantification, and predicate logic where predicates do not need a fixed number of argument places, to the part-whole relation. For more on these themes see later work by Boolos, Lewis, and Oliver & Smiley.

This paper begins with a discussion the role of less-than-admirable epistemic emotions in our respectable, indeed admirable inquiries: nosiness, obsessiveness, wishful thinking, denial, partisanship. The explanation for their desirable effect is Mandevillian: because of the division of epistemic labour individual epistemic vices can lead to shared knowledge. In fact it is sometimes essential to it.

The cosmological constant problem stems from treating quantum field theory and general relativity as an effective field theory. We argue that the problem is a reductio ad absurdum, and that one should reject the assumption that general relativity can generically be treated as an EFT. This marks a failure of naturalness, and an internal signal that EFT methods do not apply in all spacetime domains. We then take an external view, showing that the assumptions for using EFTs are violated in (...) general relativistic domains where Λ is relevant. We highlight some ways forward that do not depend on naturalness. (shrink)

I assess Churchland's views on folk psychology and conceptual thinking, with particular emphasis on the connection between these topics.

Experimental research suggests that people draw a moral distinction between bad outcomes brought about as a means versus a side effect (or byproduct). Such findings have informed multiple psychological and philosophical debates about moral cognition, including its computational structure, its sensitivity to the famous Doctrine of Double Effect, its reliability, and its status as a universal and innate mental module akin to universal grammar. But some studies have failed to replicate the means/byproduct effect especially in the absence of other factors, (...) such as personal contact. So we aimed to determine how robust the means/byproduct effect is by conducting a meta-analysis of both published and unpublished studies (k = 101; 24,058 participants). We found that while there is an overall small difference between moral judgments of means and byproducts (standardized mean difference = 0.87, 95% CI 0.67 – 1.06; standardized mean change = 0.57, 95% CI 0.44 – 0.69; log odds ratio = 1.59, 95% CI 1.15 – 2.02), the mean effect size is primarily moderated by whether the outcome is brought about by personal contact, which typically involves the use of personal force. (shrink)

Coreferentialism refers to the common assumption in the literature that slurs and descriptors are coreferential expressions with precisely the same extension. For instance, Vallee recently writes that “If S is an ethnic slur in language L, then there is a non-derogatory expression G in L such that G and S have the same extension”. The non-derogatory expression G is commonly considered the nonpejorative correlate of the slur expression S and it is widely thought that every S has a coreferring G (...) that possesses precisely the same extension. Yet here I argue against this widespread assumption by first briefly introducing what slurs are and then considering four sources of supporting evidence showing that slurs and descriptors are in fact not coreferential expressions with precisely the same extension. I argue that since slurs and descriptors differ in their extension they thereby differ in their meaning or content also. This article additionally introduces the notion of a conceptual anchor in order to adequately account for the relationship between slurs and descriptors actually evidenced in the empirical data, and further considers the inadequacy of common dictionary definitions of slurs. This article therefore contributes to the literature on slurs by demonstrating that previous accounts operating on the assumption that slurs and descriptors are coreferential expressions with the same extension, and that they thereby have the same meaning or content, are inconsistent with empirical data and that an alternative account in accord with Croom better fits the facts concerning their actual meaning and use. (shrink)

Definition of the problem The umbrella term “explicability” refers to the reduction of opacity of artificial intelligence (AI) systems. These efforts are challenging for medical AI applications because higher accuracy often comes at the cost of increased opacity. This entails ethical tensions because physicians and patients desire to trace how results are produced without compromising the performance of AI systems. The centrality of explicability within the informed consent process for medical AI systems compels an ethical reflection on the trade-offs. Which (...) levels of explicability are needed to obtain informed consent when utilizing medical AI? Arguments We proceed in five steps: First, we map the terms commonly associated with explicability as described in the ethics and computer science literature, i.e., disclosure, intelligibility, interpretability, and explainability. Second, we conduct a conceptual analysis of the ethical requirements for explicability when it comes to informed consent. Third, we distinguish hurdles for explicability in terms of epistemic and explanatory opacity. Fourth, this then allows to conclude the level of explicability physicians must reach and what patients can expect. In a final step, we show how the identified levels of explicability can technically be met from the perspective of computer science. Throughout our work, we take diagnostic AI systems in radiology as an example. Conclusion We determined four levels of explicability that need to be distinguished for ethically defensible informed consent processes and showed how developers of medical AI can technically meet these requirements. (shrink)

In this paper, I offer an analysis of the radical disagreement over the adequacy of string theory. The prominence of string theory despite its notorious lack of empirical support is sometimes explained as a troubling case of science gone awry, driven largely by sociological mechanisms such as groupthink (e.g. Smolin 2006). Others, such as Dawid (2013), explain the controversy by positing a methodological revolution of sorts, according to which string theorists have quietly turned to nonempirical methods of theory assessment given (...) the technological inability to directly test the theory. The appropriate response, according to Dawid, is to acknowledge this development and widen the canons of acceptable scientific methods. As I’ll argue, however, the current situation in fundamental physics does not require either of these responses. Rather, as I’ll suggest, much of the controversy stems from a failure to properly distinguish the “context of justification” from the “context of pursuit”. Both those who accuse string theorists of betraying the scientific method and those who advocate an enlarged conception of scientific methodology objectionably conflate epistemic justification with judgements of pursuit-worthiness. Once we get clear about this distinction and about the different norms governing the two contexts, the current situation in fundamental physics becomes much less puzzling. After defending this diagnosis of the controversy, I’ll show how the argument patterns that have been posited by Dawid as constituting an emergent methodological revolution in science are better off if reworked as arguments belonging to the context of pursuit. (shrink)

Recent progress in artificial intelligence (AI) has drawn attention to the technology’s transformative potential, including what some see as its prospects for causing large-scale harm. We review two influential arguments purporting to show how AI could pose catastrophic risks. The first argument — the Problem of Power-Seeking — claims that, under certain assumptions, advanced AI systems are likely to engage in dangerous power-seeking behavior in pursuit of their goals. We review reasons for thinking that AI systems might seek power, that (...) they might obtain it, that this could lead to catastrophe, and that we might build and deploy such systems anyway. The second argument claims that the development of human-level AI will unlock rapid further progress, culminating in AI systems far more capable than any human — this is the Singularity Hypothesis. Power-seeking behavior on the part of such systems might be particularly dangerous. We discuss a variety of objections to both arguments and conclude by assessing the state of the debate. (shrink)

Politics is full of people who don't care about the facts. Still, while not caring about the facts, they are often concerned to present themselves as caring about them. Politics, in other words, is full of bullshitters. But why? In this paper I develop an incentives-based analysis of bullshit in politics, arguing that it is often a rational response to the incentives facing different groups of agents. In a slogan: bullshit in politics pays, sometimes literally. After first outlining an account (...) of bullshit, I discuss the incentives driving three different groups of agents to bullshit: politicians, the media, and voters. I then examine several existing proposals to combat bullshit in politics, arguing that each will fail because they ignore the relevant underlying incentives. I conclude somewhat pessimistically that a certain amount of bullshit in politics is inevitable. (shrink)

Some properties are causally relevant for a certain effect, others are not. In this paper we describe a problem for our understanding of this notion and then offer a solution in terms of the notion of a program explanation.

In order to predict and explain behavior, one cannot specify the mental state of an agent merely by saying what information she possesses. Instead one must specify what information is available to an agent relative to various purposes. Specifying mental states in this way allows us to accommodate cases of imperfect recall, cognitive accomplishments involved in logical deduction, the mental states of confused or fragmented subjects, and the difference between propositional knowledge and know-how .

Recent years have witnessed intensive efforts to specify which requirements ethical artificial intelligence (AI) must meet. General guidelines for ethical AI consider a varying number of principles important. A frequent novel element in these guidelines, that we have bundled together under the term explicability, aims to reduce the black-box character of machine learning algorithms. The centrality of this element invites reflection on the conceptual relation between explicability and the four bioethical principles. This is important because the application of general ethical (...) frameworks to clinical decision-making entails conceptual questions: Is explicability a free-standing principle? Is it already covered by the well-established four bioethical principles? Or is it an independent value that needs to be recognized as such in medical practice? We discuss these questions in a conceptual-ethical analysis, which builds upon the findings of an empirical document analysis. On the example of the medical specialty of radiology, we analyze the position of radiological associations on the ethical use of medical AI. We address three questions: Are there references to explicability or a similar concept? What are the reasons for such inclusion? Which ethical concepts are referred to? (shrink)

Models as Make-Believe offers a new approach to scientific modelling by looking to an unlikely source of inspiration: the dolls and toy trucks of children's games of make-believe.

Some people think that grounding is a type of identity. And some people think that grounding connections hold necessarily. I show that, under plausible assumptions, if grounding is a type of identity, then grounding connections hold necessarily.

It would be good to have a Bayesian decision theory that assesses our decisions and thinking according to everyday standards of rationality — standards that do not require logical omniscience (Garber 1983, Hacking 1967). To that end we develop a “fragmented” decision theory in which a single state of mind is represented by a family of credence functions, each associated with a distinct choice condition (Lewis 1982, Stalnaker 1984). The theory imposes a local coherence assumption guaranteeing that as an agent's (...) attention shifts, successive batches of "obvious" logical information become available to her. A rule of expected utility maximization can then be applied to the decision of what to attend to next during a train of thought. On the resulting theory, rationality requires ordinary agents to be logically competent and to often engage in trains of thought that increase the unification of their states of mind. But rationality does not require ordinary agents to be logically omniscient. (shrink)

Polarization often happens asymmetrically. One political actor radicalizes, and the results reverberate through the political system. This is how the deep divisions in contemporary American politics arose: the Republican Party radicalized. Republican officeholders began to use extreme legislative tactics. Republican voters became animated by contempt for their political rivals and by the defense of their own social superiority. The party as a whole launched a wide-ranging campaign of voter suppression and its members endorsed violence in the face of electoral defeat. (...) This paper is about how such asymmetric polarization affects everyone else’s obligations. My core claim is that two kinds of relationship – civic friendship and non-subordination – underpin critical democratic norms. Republican misbehavior has severed cross-partisan civic friendships. Their authoritarianism forfeits their claim to non-subordination. The former means that non-Republicans need not justify policy on public grounds. The latter undercuts Republicans’ claim to enjoy minority vetoes when out of power and it gives their rivals reason to disobey the laws that Republicans make when they are in power. More generally, when one political actor contravenes the proper norms of democratic politics, their opposition is not bound by those norms. (shrink)

In this article, I will provide a critical overview of the form of non-deductive reasoning commonly known as “Inference to the Best Explanation” (IBE). Roughly speaking, according to IBE, we ought to infer the hypothesis that provides the best explanation of our evidence. In section 2, I survey some contemporary formulations of IBE and highlight some of its putative applications. In section 3, I distinguish IBE from C.S. Peirce’s notion of abduction. After underlining some of the essential elements of IBE, (...) the rest of the entry is organized around an examination of various problems that IBE confronts, along with some extant attempts to address these problems. In section 4, I consider the question of when a fact requires an explanation, since presumably IBE applies only in cases where some explanation is called for. In section 5, I consider the difficult question of how we ought to understand IBE in light of the fact that among philosophers, there is significant disagreement about what constitutes an explanation. In section 6, I consider different strategies for justifying the truth-conduciveness of the explanatory virtues, e.g., simplicity, unification, scope, etc., criteria which play an indispensable role in any given application of IBE. In section 7, I survey some of the most recent literature on IBE, much of which consists of investigations of the status of IBE from the standpoint of the Bayesian philosophy of science. (shrink)

I reply to comments on my book Perception (Routledge 2021) by Umrao Sethi, Jeff Speaks and Brian Cutter. Sethi objects to my representational view of perception on the ground that that having an experience of a color or shape can enable you to know what that color or shape is like only if it is actually present in the experience. Speaks has a very interesting discussion of my puzzle of the laws of appearance for the representational view. And Cutter asks (...) what I have against 'neural sense datum theory'. In my responses, I try to take the discussion forward. At the end, I develop a new argument against reductive physicalist theories of sensible qualities based on a principle I call "qualitative closure". (shrink)

I argue that considerations about computational complexity show that all finite agents need characteristics like those that have been called epistemic virtues. The necessity of these virtues follows in part from the nonexistence of shortcuts, or efficient ways of finding shortcuts, to cognitively expensive routines. It follows that agents must possess the capacities – metavirtues –of developing in advance the cognitive virtues they will need when time and memory are at a premium.

As art produced by autonomous machines becomes increasingly common, and as such machines grow increasingly sophisticated, we risk a confusion between art produced by a person but mediated by a machine, and art produced by what might be legitimately considered a machine artist. This distinction will be examined here. In particular, my argument seeks to close a gap between, on one hand, a philosophically grounded theory of art and, on the other hand, theories concerned with behavior, intentionality, expression, and creativity (...) in natural and artificial agents. This latter set of theories in some cases addresses creative behavior in relation to visual art, music, and literature, in the frequently overlapping contexts of philosophy of mind, artificial intelligence, and cognitive science. However, research in these areas does not typically address problems in the philosophy of art as a central line of inquiry. Similarly, the philosophy of art does not typically address issues pertaining to artificial agents. (shrink)

In “The Meta-Problem of Consciousness”, David Chalmers briefly raises a problem about how the connection between consciousness and our verbal and other behavior appears “lucky”. I raise a counterexample to Chalmers’s formulation of the problem. Then I develop an alternative formulation. Finally, I consider some responses, including illusionism about consciousness.

This paper proposes a new theory of the nature of hypocritical blame and why it is objectionable, arguing that hypocritical blame is a form of dishonest signaling. Blaming provides very important benefits: through its ability to signal our commitments to norms and unwillingness to tolerate norm violations, it greatly contributes to valuable norm-following. Hypocritical blamers, however, are insufficiently committed to the norms or values they blame others for violating. As allowing their blame to pass unchecked threatens the signaling system, our (...) strong interest in maintaining valuable norm-following by tracking who has what commitments justifies objecting to hypocritical blame. This theory has a number of strengths over competing accounts: it delivers intuitive verdicts about when blame is objectionable across a range of cases, it is a naturalistic explanation, it is consistent with a leading theory of the nature of blame, it explains why hypocritical pronouncements that don’t feature blame are similiarly objectionable, it does not rely on contentious analyses of the nature of ‘standing’, and it preserves the common intuition that hypocrites are in some way dishonest. (shrink)

In recent years, some eminent scientists have argued that free will, as commonly understood, is an illusion. Given that questions such as ‘do we have free will?’ were once pursued solely by philosophers, how should science and philosophy coalesce here? Do philosophy and science simply represent different phases of a particular investigation—the philosopher concerned with formulating a specific question and the scientist with empirically testing it? Or should the interactions between the two be more involved? Contemporary responses to such questions (...) have occasionally given rise to conflict amongst members of different disciplines. Some individual scientists have dismissed philosophical objections to their scientific theories on the grounds that the philosopher lacks experience in their respective field. And some individual philosophers have rejected scientific theories on a priori grounds, without giving due consideration to the empirical evidence. In this paper, I argue that such dismissiveness, on both sides, is mistaken. I will do so by putting forward a view that is inspired by the American philosopher and psychologist William James, who has been characterised by recent commentators as having performed ‘boundary work’. Boundary work involves transgressing the dividing lines between such disciplines, and attempting to solve certain problems without being restricted to the methodology of a single discipline. To help support this position, I will examine a series of contemporary problems that are pursued in both philosophy and science that relate to moral responsibility and free will. I will argue that in order to solve such problems we need to perform boundary work. (shrink)

This paper considers the possibility that ‘epistemic hypocrisy’ could be relevant to our blaming practices. It argues that agents who culpably violate an epistemic norm can lack the standing to blame other agents who culpably violate similar norms. After disentangling our criticism of epistemic hypocrites from various other fitting responses, and the different ways some norms can bear on the legitimacy of our blame, I argue that a commitment account of standing to blame allows us to understand our objections to (...) epistemic hypocrisy. Agents lack the epistemic standing to blame when they are not sufficiently committed to the epistemic norms they are blaming others for violating. This not only gives us a convincing account of epistemic standing to blame, it leaves us with a unified account of moral and epistemic standing. (shrink)

In my Racialization: A Defense of the Concept, I argue that ‘race’ fails as an analytic category and that we should think in terms of ‘racialization’ and ‘racialized groups’ instead (Hochman 2019c). I define these concepts and defend them against a range of criticisms. In Rethinking Racialization: The Analytical Limits of Racialization, Deniz Uyan critiques my “theory of racialization” (Uyan 2021). However, I do not defend a theory of racialization; I defend the concept of racialization. I argue that racialization is (...) a useful idea, but I do not advance a theory to explain or predict the phenomena it describes. While Uyan’s critique therefore misses its mark, it raises important questions about the explanatory scope of the racialization concept. Ironically, I may be even more skeptical of the prospects of any general theory of racialization than Uyan. I argue that while we ought to develop theories to explain particular instances of racialization, we should not develop a general theory of racialization, because it is simply too varied in the agents that drive it, their intents, the mechanisms through which it operates, and the outcomes it produces. While hope for any general theory of racialisation should be abandoned, I argue that the racialisation concept is still extremely useful. It offers a necessary alternative to race realist concepts, allowing us to point to the wide-ranging effects of belief in race without falsely implying that race itself is real. Uyan does not focus on my arguments against racial realism. However, the theoretical failures and normative risks of racial realism motivate my defense of the racialization concept. In this paper, I reiterate my arguments against racial realism and offer further defense of the concepts of ‘racialization’ and ‘racialized group’. (shrink)

Epistemologists have recently argued that there is such a thing as ‘epistemic blame’: blame targeted at purely epistemic norm violations. Leading the charge has been Cameron Boult, who has argued across a series of papers that we can make sense of this phenomenon by building an account of epistemic blame off of Scanlon’s account of moral blame. This paper argues a relationship-based account of epistemic blame is untenable, because it eliminates any distinction between blameworthy and excused agents. Attempts to overcome (...) this problem cannot succeed because of the important but unrecognised ways his account deviates from Scanlon’s, and because of differences in how our moral and epistemic conduct are affected by our attitudes and expectations. (shrink)

In transplant medicine, the use of normothermic regional perfusion (NRP) in donation after circulatory determination of death raises ethical difficulties. NRP is objectionable because it restores the donor's circulation, thus invalidating a death declaration based on the permanent cessation of circulation. NRP's defenders respond with arguments that are tortuous and factually inaccurate and depend on introducing extraneous concepts into the law. However, results comparable to NRP's—more and higher‐quality organs and more efficient allocation—can be achieved by removing organs from deceased donors (...) and using normothermic machine perfusion (NMP) to support the organs outside the body, without jeopardizing confidence in transplantation's legal and ethical foundations. Given the controversy that NRP generates and the convoluted justifications made for it, we recommend a prudential approach we call “ethical parsimony,” which holds that, in the choice between competing means of achieving a result, the ethically simpler one is to be preferred. This approach makes clear that policy‐makers should favor NMP over NRP. (shrink)

I discuss ways in which the linguistic form of mathimatics helps us think mathematically.

I develop several new arguments against claims about "cognitive phenomenology" and its alleged role in grounding thought content. My arguments concern "absent cognitive qualia cases", "altered cognitive qualia cases", and "disembodied cognitive qualia cases". However, at the end, I sketch a positive theory of the role of phenomenology in grounding content, drawing on David Lewis's work on intentionality. I suggest that within Lewis's theory the subject's total evidence plays the central role in fixing mental content and ruling out deviant interpretations. (...) However I point out a huge unnoticed problem, the problem of evidence: Lewis really has no theory of sensory content and hence no theory of what fixes evidence. I suggest a way of plugging this hole in Lewis's theory. On the resulting theory, which I call " phenomenal functionalism", there is a sense in which sensory phenomenology is the source of all determinate intentionality. Phenomenal functionalism has similarities to the theories of Chalmers and Schwitzgebel. (shrink)

This paper defends the concept of racialization against its critics. As the concept has become increasingly popular, questions about its meaning and value have been raised, and a backlash against its use has occurred. I argue that when “racialization” is properly understood, criticisms of the concept are unsuccessful. I defend a definition of racialization and identify its companion concept, “racialized group.” Racialization is often used as a synonym for “racial formation.” I argue that this is a mistake. Racial formation theory (...) is committed to racial ontology, but racialization is best understood as the process through which racialized – rather than racial – groups are formed. “Racialization” plays a unique role in the conceptual landscape, and it is a key concept for race eliminativists and anti-realists about race. (shrink)

Support for the biological concept of race declined slowly but steadily during the second half of the twentieth century. However, debate about the validity of the race concept has recently been reignited. Genetic-clustering studies have shown that despite the small proportion of genetic variation separating continental populations, it is possible to assign some individuals to their continents of origin, based on genetic data alone. Race naturalists have interpreted these studies as empirically confirming the existence of human subspecies, and by extension (...) biological races. However, the new racial naturalism is not convincing. The continental clusters appealed to by race naturalists are arbitrary and superficial groupings, which should not be elevated to subspecies status. Moreover, the criteria applied to humans are not consistent with those used to define subspecies in nonhuman animals, and no rationale has been given for this differential treatment. (shrink)

Proponents of epistocracy worry that high levels of voter ignorance can harm democracies. To combat such ignorance, they recommend allocating comparatively more political power to more politically knowledgeable citizens. In response, some recent critics of epistocracy contend that epistocratic institutions risk causing even more harm, since much evidence from political psychology indicates that more politically knowledgeable citizens are typically more biased, less open-minded, and more prone to motivated reasoning about political matters than their less knowledgeable counterparts. If so, perhaps epistocratic (...) institutions will perform worse epistemically than corresponding democratic institutions. Call this 'the problem of epistocratic irrationality'. This paper argues that the problem of epistocratic irrationality can be overcome. First, I argue that critics of epistocracy have overlooked several complications regarding the psychological data they claim shows that more knowledgeable citizens are less politically rational. Second, I argue that appropriately designed epistocratic institutions could overcome the problem of epistocratic irrationality even if such critics have interpreted the data correctly. I first explore whether refined selection mechanisms could allow epistocrats to avoid empowering less rational citizens, before assessing the prospects of implementing only those epistocratic institutions with a solid track record of reliable performance. (shrink)