It is commonly accepted that clinicians are ethically obligated to disclose their use of medical machine learning systems to patients, and that failure to do so would amount to a moral fault for which clinicians ought to be held accountable. Call this ‘the disclosure thesis.’ Four main arguments have been, or could be, given to support the disclosure thesis in the ethics literature: the risk-based argument, the rights-based argument, the materiality argument and the autonomy argument. In this article, I argue (...) that each of these four arguments are unconvincing, and therefore, that the disclosure thesis ought to be rejected. I suggest that mandating disclosure may also even risk harming patients by providing stakeholders with a way to avoid accountability for harm that results from improper applications or uses of these systems. (shrink)

Artificial intelligence (AI) systems have demonstrated impressive performance across a variety of clinical tasks. However, notoriously, sometimes these systems are 'black boxes'. The initial response in the literature was a demand for 'explainable AI'. However, recently, several authors have suggested that making AI more explainable or 'interpretable' is likely to be at the cost of the accuracy of these systems and that prioritising interpretability in medical AI may constitute a 'lethal prejudice'. In this paper, we defend the value of interpretability (...) in the context of the use of AI in medicine. Clinicians may prefer interpretable systems over more accurate black boxes, which in turn is sufficient to give designers of AI reason to prefer more interpretable systems in order to ensure that AI is adopted and its benefits realised. Moreover, clinicians may be justified in this preference. Achieving the downstream benefits from AI is critically dependent on how the outputs of these systems are interpreted by physicians and patients. A preference for the use of highly accurate black box AI systems, over less accurate but more interpretable systems , may itself constitute a form of lethal prejudice that may diminish the benefits of AI to - and perhaps even harm - patients. (shrink)

Artificial intelligence (AI) is expected to revolutionise the practice of medicine. Recent advancements in the field of deep learning have demonstrated success in variety of clinical tasks: detecting diabetic retinopathy from images, predicting hospital readmissions, aiding in the discovery of new drugs, etc. AI’s progress in medicine, however, has led to concerns regarding the potential effects of this technology on relationships of trust in clinical practice. In this paper, I will argue that there is merit to these concerns, since AI (...) systems can be relied on, and are capable of reliability, but cannot be trusted, and are not capable of trustworthiness. Insofar as patients are required to rely on AI systems for their medical decision-making, there is potential for this to produce a deficit of trust in relationships in clinical practice. (shrink)

Objectives: Machine learning (ML) has the potential to facilitate “continual learning” in medicine, in which an ML system continues to evolve in response to exposure to new data over time, even after being deployed in a clinical setting. In this article, we provide a tutorial on the range of ethical issues raised by the use of such “adaptive” ML systems in medicine that have, thus far, been neglected in the literature. -/- Target audience: The target audiences for this tutorial are (...) the developers of ML AI systems, healthcare regulators, the broader medical informatics community, and practicing clinicians. -/- Scope: Discussions of adaptive ML systems to date have overlooked the distinction between 2 sorts of variance that such systems may exhibit—diachronic evolution (change over time) and synchronic variation (difference between cotemporaneous instantiations of the algorithm at different sites)—and underestimated the significance of the latter. We highlight the challenges that diachronic evolution and synchronic variation present for the quality of patient care, informed consent, and equity, and discuss the complex ethical trade-offs involved in the design of such systems. (shrink)

Artificial intelligence (AI) systems have demonstrated impressive performance across a variety of clinical tasks. However, notoriously, sometimes these systems are “black boxes.” The initial response in the literature was a demand for “explainable AI.” However, recently, several authors have suggested that making AI more explainable or “interpretable” is likely to be at the cost of the accuracy of these systems and that prioritizing interpretability in medical AI may constitute a “lethal prejudice.” In this paper, we defend the value of interpretability (...) in the context of the use of AI in medicine. Clinicians may prefer interpretable systems over more accurate black boxes, which in turn is sufficient to give designers of AI reason to prefer more interpretable systems in order to ensure that AI is adopted and its benefits realized. Moreover, clinicians may be justified in this preference. Achieving the downstream benefits from AI is critically dependent on how the outputs of these systems are interpreted by physicians and patients. A preference for the use of highly accurate black box AI systems, over less accurate but more interpretable systems, may itself constitute a form of lethal prejudice that may diminish the benefits of AI to—and perhaps even harm—patients. (shrink)

Advocates of physician-assisted suicide (PAS) often argue that, although the provision of PAS is morally permissible for persons with terminal, somatic illnesses, it is impermissible for patients suffering from psychiatric conditions. This claim is justified on the basis that psychiatric illnesses have certain morally relevant characteristics and/or implications that distinguish them from their somatic counterparts. In this paper, I address three arguments of this sort. First, that psychiatric conditions compromise a person’s decision-making capacity. Second, that we cannot have sufficient certainty (...) that a person’s psychiatric condition is untreatable. Third, that the institutionalisation of PAS for mental illnesses presents morally unacceptable risks. I argue that, if we accept that PAS is permissible for patients with somatic conditions, then none of these three arguments are strong enough to demonstrate that the exclusion of psychiatric patients from access to PAS is justifiable. (shrink)

A novel advantage of the use of machine learning (ML) systems in medicine is their potential to continue learning from new data after implementation in clinical practice. To date, considerations of the ethical questions raised by the design and use of adaptive machine learning systems in medicine have, for the most part, been confined to discussion of the so-called “update problem,” which concerns how regulators should approach systems whose performance and parameters continue to change even after they have received regulatory (...) approval. In this paper, we draw attention to a prior ethical question: whether the continuous learning that will occur in such systems after their initial deployment should be classified, and regulated, as medical research? We argue that there is a strong prima facie case that the use of continuous learning in medical ML systems should be categorized, and regulated, as research and that individuals whose treatment involves such systems should be treated as research subjects. (shrink)

In a recent Response published in the Journal of Medical Ethics,1 Buturovic provides two criticisms of my argument in ‘Is the exclusion of psychiatric patients from access to physician-assisted suicide discriminatory?’2 First, Buturovic argues that my argument effectively ‘erases the distinction between healthy adults and patients (whether somatic or psychiatric) essentially implying that PAS [physician-assisted suicide] should be available to all, for all reasons or, ultimately no reason’ (Buturovic,1 pg. 1). Second, Buturovic argues that opening the doors to medical assistance (...) in dying (MAID) for psychiatric patients could have a number of undesirable implications. In particular, Buturovic highlights the potential negative implications for relations of trust in medicine—psychiatry in particular—along with potential effects on the rate of organ donation. I would here like to respond to these two criticisms. In short, my response to Buturovic’s first argument is that the slope is not nearly as slippery as Buturovic suggests. The reason for this is that the plausibility of Buturovic’s argument rests on a significant misinterpretation of my argument, along with an important equivocation in her own. Buturovic argues that, under the three criteria that I propose for the provision of MAID—sufficient decision-making capacity, demonstrated treatment resistance, and a lack of substantially negative implications for existing standards of psychiatric treatment and research—the provision of MAID for trivial reasons, even no reason at all, is justifiable. The main problem with this argument is that I propose no such positive criteria. My argument is that none of the three arguments addressed in my previous paper are sufficient to justify the exclusion of any and all psychiatric patients from access to MAID. I do not claim, in other words, that any individual …. (shrink)

In Deep Medicine, Eric Topol argues that the development of artificial intelligence (AI) for healthcare will lead to a dramatic shift in the culture and practice of medicine. Topol claims that, rather than replacing physicians, AI could function alongside of them in order to allow them to devote more of their time to face-to-face patient care. Unfortunately, these high hopes for AI-enhanced medicine fail to appreciate a number of factors that, we believe, suggest a radically different picture for the future (...) of healthcare. Far from facilitating a return to “the golden age of doctoring”, the role of economic and institutional considerations in determining how medical AI will be used mean that it is likely to further erode therapeutic relationships and threaten professional and patient satisfaction. (shrink)

What does Artificial Intelligence (AI) have to contribute to health care? And what should we be looking out for if we are worried about its risks? In this paper we offer a survey, and initial evaluation, of hopes and fears about the applications of artificial intelligence in medicine. AI clearly has enormous potential as a research tool, in genomics and public health especially, as well as a diagnostic aid. It’s also highly likely to impact on the organisational and business practices (...) of healthcare systems in ways that are perhaps under-appreciated. Enthusiasts for AI have held out the prospect that it will free physicians up to spend more time attending to what really matters to them and their patients. We will argue that this claim depends upon implausible assumptions about the institutional and economic imperatives operating in contemporary healthcare settings. We will also highlight important concerns about privacy, surveillance, and bias in big data, as well as the risks of over trust in machines, the challenges of transparency, the deskilling of healthcare practitioners, the way AI reframes healthcare, and the implications of AI for the distribution of power in healthcare institutions. We will suggest that two questions, in particular, are deserving of further attention from philosophers and bioethicists. What does care look like when one is dealing with data as much as people? And, what weight should we give to the advice of machines in our own deliberations about medical decisions? (shrink)

An extended discussion with Frances Kamm about deontology and the methodology of ethical theorizing. (An extended and revised version appears in Alex Voorhoeve, Conversations on Ethics, OUP 2009).).

Introduction: representationalismMost theorists of cognition endorse some version of representationalism, which I will understand as the view that the human mind is an information-using system, and that human cognitive capacities are representational capacities. Of course, notions such as ‘representation’ and ‘information-using’ are terms of art that require explication. As a first pass, representations are “mediating states of an intelligent system that carry information” (Markman and Dietrich 2001, p. 471). They have two important features: (1) they are physically realized, and so (...) have causal powers; (2) they are intentional, in other words, they have meaning or representational content. This presumes a distinction between a representational vehicle—a physical state or structure that has causal powers and is responsible for producing behavior—and its content. Consider the following characterization of a device that computes the addition functionReaders will recognize the similarity t. (shrink)

I argue that our expectations for particular evil events, conditional on theism, ought to be informed by our empirical knowledge of history—that is, the history of what God, if God exists, has already allowed to happen. This point is under-appreciated in the literature. And yet if I’m right, this entails that most particular evil events are not evidence against theism. This is a limited but interesting consequence in debates over the evidential impact of evil.

Among the cognitive capacities of evolved creatures is the capacity to represent. Theories in cognitive neuroscience typically explain our manifest representational capacities by positing internal representations, but there is little agreement about how these representations function, especially with the relatively recent proliferation of connectionist, dynamical, embodied, and enactive approaches to cognition. In this talk I sketch an account of the nature and function of representation in cognitive neuroscience that couples a realist construal of representational vehicles with a pragmatic account of (...) mental content. I call the resulting package a deflationary account of mental representation and I argue that it avoids the problems that afflict competing accounts. (shrink)

Successful sports teams are able to adopt what is known as the 'we-perspective,' forming intentions and making decisions, somewhat as a unified mind does, to achieve their goals. In this paper I consider what is involved in establishing and maintaining the we-perspective on a racing sailboat. I argue that maintaining the we-perspective contributes to the success of the boat in at least two ways: (1) it facilitates the smooth execution of joint action; and (2) it increases the chance that individual (...) crew members will exert their best effort in fulfilling their particular roles on the boat. (shrink)

Much of computational cognitive science construes human cognitive capacities as representational capacities, or as involving representation in some way. Computational theories of vision, for example, typically posit structures that represent edges in the distal scene. Neurons are often said to represent elements of their receptive fields. Despite the ubiquity of representational talk in computational theorizing there is surprisingly little consensus about how such claims are to be understood. The point of this chapter is to sketch an account of the nature (...) and function of representation in computational cognitive models. (shrink)

Representationalism, in its most widely accepted form, is the view that the human mind is an information-using system, and that human cognitive capacities are to be understood as representational capacities. This chapter distinguishes several distinct theses that go by the name "representationalism," focusing on the view that is most prevalent in cogntive science. It also discusses some objections to the view and attempts to clarify the role that representational content plays in cognitive models that make use of the notion of (...) representation. (shrink)

Many philosophers are sceptical about the power of philosophy to refute commonsensical claims. They look at the famous attempts and judge them inconclusive. I prove that, even if those famous attempts are failures, there are alternative successful philosophical proofs against commonsensical claims. After presenting the proofs I briefly comment on their significance.

This article argues, first, that there is plenty of agreement among philosophers on philosophically substantive claims, which fall into three categories: reasons for or against certain views, elementary truths regarding fundamental notions, and highly conditionalized claims. This agreement suggests that there is important philosophical progress. It then argues that although it's easy to list several potential kinds of philosophical progress, it is much harder to determine whether the potential is actual. Then the article attempts to articulate the truth that the (...) deniers of philosophical progress are latching on to. Finally, it comments on the significance of the agreement and progress. (shrink)

Philosophers often find themselves in disagreement with contemporary philosophers they know full well to be their epistemic superiors on the topics relevant to the disagreement. This looks epistemically irresponsible. I offer a detailed investigation of this problem of the reflective epistemic renegade. I argue that although in some cases the renegade is not epistemically blameworthy, and the renegade situation is significantly less common than most would think, in a troublesome number of cases in which the situation arises the renegade is (...) blameworthy in her disagreement with recognized epistemic superiors. I also offer some thoughts on what it would mean for philosophical practice for us to refrain from being renegades. Finally, I show how a new kind of radical skepticism emerges from modest theses regarding the renegade. (shrink)

A new kind of skepticism about philosophy is articulated and argued for. The key premise is the claim that many of us are well aware that in the past we failed to have good responses to substantive objections to our philosophical beliefs. The conclusion is disjunctive: either we are irrational in sticking with our philosophical beliefs, or we commit some other epistemic sin in having those beliefs.

Isn’t there something like an amount and density of horrific suffering whose discovery would make it irrational to think God exists? Use your imagination to think of worlds that are much, much, much worse than you think Earth is when it comes to horrific suffering. Isn’t there some conceivable scenario which, if you were in it, would make you say “Ok, ok. God doesn’t exist, at least in the way we thought God was. We were wrong about that”? Pursuing this (...) question leads to what I call the Problem of Absurd Evil. (shrink)

Nicholas Shea offers Varitel Semantics as a naturalistic account of mental content. I argue that the account secures determinate content only by appeal to pragmatic considerations, and so it fails to respect naturalism. But that is fine, because representational content is not, strictly speaking, necessary for explanation in cognitive science. Even in Shea’s own account, content serves only a variety of heuristic functions.

This is a short essay that presents what I take to be the main questions regarding the epistemology of disagreement.

Comments on Karen Neander's A Mark of the Mental.

We tend to think that philosophical progress, to the extent that it exists, is a good thing. I agree. Even so, it has some surprising unfortunate consequences for the rationality of philosophical belief.

If you retain your belief upon learning that a large number and percentage of your recognized epistemic superiors disagree with you, then what happens to the epistemic status of your belief? I investigate that theoretical question as well has the applied case of philosophical disagreement—especially disagreement regarding purely philosophical error theories, theories that do not have much empirical support and that reject large swaths of our most commonsensical beliefs. I argue that even if all those error theories are false, either (...) (a) the average philosopher’s true commonsensical beliefs are epistemically impoverished, or (b) a good portion of philosophy is bunk and philosophers should give up most of their error theories despite the fact that their supporting arguments are generally as good as or even better than other philosophical arguments. (shrink)

Philosophers defend, and often believe, controversial philosophical claims. Since they aren’t clueless, they are usually aware that their views are controversial—on some occasions, the views are definitely in the minority amongst the relevant specialist-experts. In addition, most philosophers are aware that they are not God’s gift to philosophy, since they admit their ability to track truth in philosophy is not extraordinary compared to that of other philosophers. In this paper I argue that in many real-life cases, such beliefs in controversial (...) claims are irrational. This means that most philosophers have irrational philosophical beliefs. (shrink)

A common kind of explanation in cognitive neuroscience might be called functiontheoretic: with some target cognitive capacity in view, the theorist hypothesizes that the system computes a well-defined function (in the mathematical sense) and explains how computing this function constitutes (in the system’s normal environment) the exercise of the cognitive capacity. Recently, proponents of the so-called ‘new mechanist’ approach in philosophy of science have argued that a model of a cognitive capacity is explanatory only to the extent that it reveals (...) the causal structure of the mechanism underlying the capacity. If they are right, then a cognitive model that resists a transparent mapping to known neural mechanisms fails to be explanatory. I argue that a functiontheoretic characterization of a cognitive capacity can be genuinely explanatory even absent an account of how the capacity is realized in neural hardware. (shrink)

One of Moore’s paradoxical sentence types is ‘P, but I believe ~P’. Mooreans have assumed that all tokens of that sentence type are absurd in some way: epistemically, pragmatically, semantically, or assertively. And then they proceed to debate what the absurdity really is. I argue that if one has the appropriate philosophical views, then one can rationally assert tokens of that sentence type, and one can be epistemically reasonable in the corresponding compound belief as well.

This chapter introduces Kripke's work to advanced undergraduates, mainly focussing on his "A Puzzle About Belief" and "Wittgenstein on Rules and Private Language".

How can imperceptible knowledge such as professional routines in class immediacy be taught? How to express their main principles and their construction in formation? These routines create a sense of security among both students and teachers; it is a frame favouring successful classroom management. They come under the scope of integrated competencies, and this prompts their analysis in view of understanding a central link within initial professionalization. This paper will present the concept of professional routines as an educational practice in (...) regards to professional development, then the conceptual frame, the analytical method, some results followed by a discussion and conclusion. Comment enseigner un savoir imperceptible comme des routines professionnelles dans l’immédiateté de la classe? Comment dégager les principes organisateurs et leur construction en formation ? Pour une gestion de classe efficace, il est essentiel de recourir à des routines professionnelles. Elles soutiennent le sentiment de sécurité tant chez l’enseignant que chez les élèves. Elles relèvent de compétences incorporées, ce qui force à leur analyse pour une articulation phare dans une formation professionnalisante. Nous présenterons le concept des routines professionnelles comme un savoir-faire nécessaire au développement professionnel, le cadre conceptuel, la méthodologie, quelques résultats et la discussion suivie de la conclusion. (shrink)

In this essay I try to motivate and formulate the main epistemological questions to ask about the phenomenon of religious disagreement. I will not spend much time going over proposed answers to those questions. I address the relevance of the recent literature on the epistemology of disagreement. I start with some fiction and then, hopefully, proceed with something that has at least a passing acquaintance with truth.

I’m going to argue for a set of restricted skeptical results: roughly put, we don’t know that fire engines are red, we don’t know that we sometimes have pains in our lower backs, we don’t know that John Rawls was kind, and we don’t even know that we believe any of those truths. However, people unfamiliar with philosophy and cognitive science do know all those things. The skeptical argument is traditional in form: here’s a skeptical hypothesis; you can’t epistemically neutralize (...) it, you have to be able to neutralize it to know P; so you don’t know P. But the skeptical hypotheses I plug into it are “real, live” scientific-philosophical hypotheses often thought to be actually true, unlike any of the outrageous traditional skeptical hypotheses (e.g., ‘You’re a brain in a vat’). So I call the resulting skepticism Live Skepticism. Notably, the Live Skeptic’s argument goes through even if we adopt the clever anti-skeptical fixes thought up in recent years such as reliabilism, relevant alternatives theory, contextualism, and the rejection of epistemic closure. Furthermore, the scope of Live Skepticism is bizarre: although we don’t know the simple facts noted above, many of us do know that there are black holes and other amazing facts. (shrink)

Those of us who take skepticism seriously typically have two relevant beliefs: (a) it’s plausible (even if false) that in order to know that I have hands I have to be able to epistemically neutralize, to some significant degree, some skeptical hypotheses, such as the brain-in-a-vat (BIV) one; and (b) it’s also plausible (even if false) that I can’t so neutralize those hypotheses. There is no reason for us to also think (c) that the BIV hypothesis, for instance, is plausible (...) or probably true. In order to take skepticism seriously it’s sufficient to hold (a) and (b); one need not hold (c). Indeed, philosophers who accept (a) and (b) never endorse (c). Show me a philosopher who suspects that he is a brain in a vat and I’ll show you someone who is deranged! That’s one thing that bothers undergraduates in philosophy. They object: why on earth do some philosophers take the BIV hypothesis to pose any threat at all to our beliefs given that those very same philosophers think that there’s no real chance that the BIV hypothesis is true? Sure, the BIV hypothesis is formally inconsistent with my belief that I have hands, so if the former is true then my belief is false. But so what? Why should that bare inconsistency matter so much? Is this strange attitude amongst philosophers the result of some logic fetish infecting the philosophical community? It is sometimes said that the skeptical hypotheses are not only inconsistent with our beliefs but are explanatory of our experiences, which is supposed to make them more of a threat. But students aren’t fooled: although the skeptical hypotheses may attempt to explain why our experience is as it is, it’s the kind of attempt appropriate for science fiction movies that are all special effects and virtually no plot. No one with any sense of reality will take the evil demon hypothesis to be even tenuously explanatory. (shrink)

An analysis of the Third Man Argument, especially in light of Constance Meinwald's book Plato's Parmenides. I argue that her solution to the TMA fails. Then I present my own theory as to what Plato's solution was.

Suppose you know that someone is your epistemic peer regarding some topic. You admit that you cannot think of any relevant epistemic advantage you have over her when it comes to that topic; you admit that she is just as likely as you to get P's truth-value right. Alternatively, you might know that she is your epistemic superior regarding the topic. And then after learning this about her you find out that she disagrees with you about P. In those situations (...) it appears that the confidence with which one holds one's belief should be significantly reduced. My primary goal in this essay is to present and reflect upon a set of cases of disagreement that have not been discussed in the literature but are vital to consider. I argue that in the new cases one is reasonable in not lowering one?s confidence in the belief. Then I articulate and defend an ambitious principle, the Disagreement Principle, meant to answer the question 'Under what conditions am I epistemically blameworthy in retaining my belief with the same level of confidence after I have discovered recognized peers or superiors who disagree with me?'. (shrink)

Researchers in the health sciences regularly discover information of potential health importance unrelated to their object of study in the course of their research. However, there appears to be little guidance available on what researchers should do with this information, known in the scientific literature as incidental findings. The study described here was designed to determine the extent of guidance available to researchers from public sources. This empirical study was part of a larger two-year project funded by the National Human (...) Genome Research Institute to generate guidance on how incidental findings should be managed in human subjects research, especially genetics, genomics, and imaging research. We generated empirical analysis of publicly available guidance and consent forms to help guide a multidisciplinary Working Group of experts in their formulation of normative recommendations reported in this symposium. (shrink)

A common kind of explanation in cognitive neuroscience might be called function-theoretic: with some target cognitive capacity in view, the theorist hypothesizes that the system computes a well-defined function (in the mathematical sense) and explains how computing this function constitutes (in the system’s normal environment) the exercise of the cognitive capacity. Recently, proponents of the so-called ‘new mechanist’ approach in philosophy of science have argued that a model of a cognitive capacity is explanatory only to the extent that it reveals (...) the causal structure of the mechanism underlying the capacity. If they are right, then a cognitive model that resists a transparent mapping to known neural mechanisms fails to be explanatory. I argue that a function-theoretic char-acterization of a cognitive capacity can be genuinely explanatory even absent an account of how the capacity is realized in neural hardware. (shrink)

For years philosophers argued for the existence of distinct yet materially coincident things by appealing to modal and temporal properties. For instance, the statue was made on Monday and could not survive being flattened; the lump of clay was made months before and can survive flattening. Such arguments have been thoroughly examined. Kit Fine has proposed a new set of arguments using the same template. I offer a critical evaluation of what I take to be his central lines of reasoning.

Many philosophers have used premises about concepts and rationality to argue that the protagonists in the various Twin Earth thought experiments do not have the concepts that content externalists say they have. This essay argues that this popular internalist argument is flawed in many different ways, and more importantly it cannot be repaired in order to cast doubt on externalism.

Although metaphysics has made an impressive comeback over the past half century, there are still a great many philosophers today who think it is bullshit, under numerous precisifications of ‘That’s just bullshit’ so that it’s a negative assessment and doesn’t apply to most philosophy. One encounters this attitude countless times in casual conversations, social media, and occasionally in print. Is it true?

In this article I offer a three-pronged defense of Millian theories, all of which share the rough idea that all there is to a proper name is its referent, so it has no additional sense. I first give what I believe to be the first correct analysis of Kripke’s puzzle and its anti-Fregean lessons. The main lesson is that the Fregean’s arguments against Millianism and for the existence of semantically relevant senses (that is, individuative elements of propositions or belief contents (...) that are sensitive to our varying personal conceptions of the referents of those elements) are viciously circular. Thus, the Fregean must give new arguments for her central claims. Second, I offer an original, positive argument for the Millian idea that the thoughts that Cicero was bald and that Tully was bald are identical. Incredibly, the argument appeals to nothing but highly intuitive, pre-theoretical principles regarding folk psychological usage—traditionally the source of Fregean intuitions. Third, I examine one of the most important recent papers on Kripke’s puzzle, that by David Sosa (1996). Sosa claims to have found a way to turn the tables on Kripke’s puzzle by using it to argue against Millian theories. I argue that Sosa’s argument on behalf of the Fregean is question-begging. I conclude that Millian theories can be seriously defended without any use of theoretical constructs such as guises or Russellian propositions, and Fregeans need to start over arguing for their theory’s central claims. (shrink)

In the philosophy of perception, representationalism is the view that all phenomenological differences among mental states are representational differences, in other words, differences in content. In this paper I defend an alternative view which I call external sortalism, inspired by traditional adverbialism, and according to which experiences are not essentially representational. The central idea is that the external world serves as a model for sorting, conceptualizing, and reasoning surrogatively about perceptual experience. On external sortalism, contents are construed as a kind (...) of gloss on experiences themselves. We can retain what is attractive about representationalism, namely, that perceptual experiences can be evaluated for accuracy, without problematic commitment to the idea that they bear a substantive, representational relation to external objects and properties and that this relation determines the phenomenal character of experience. (shrink)

Descartes développe, dans ses Principes de la Philosophie, les principes fondateurs de son système construit sur l’identification de la matière à l’espace. L’analyse de ses principes nous invite à repenser le rôle de la métaphysique dans la constitution de la science et permet aussi de comprendre comment les concepts de matière, substance, espace, étendue géométrique, mouvement, infini et vide sont devenus les questions centrales de la science du XVIIe siècle.

I first argue that, contrary to many atheistic philosophers, there is good reason to think the typical theistic philosopher’s retaining of her theism when faced with the Problem of Evil is comparatively epistemically upstanding even if both atheism is true and the typical theistic philosopher has no serious criticism of the atheist’s premises in the PoE argument. However, I then argue that, contrary to many theistic philosophers, even if theism is true, the typical theistic philosopher has no good non-theistic reasons (...) for rejecting any of the atheist’s premises, and she has good non-theistic reasons in favor of the atheist’s premises. In that respect, it’s extremely difficult for the theistic philosopher to respond to the PoE in an informative, non-question-begging way. I close by considering whether theistic philosophers should reject my second thesis. (shrink)

Short introduction to the epistemology of disagreement.