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)

Advocates of physician-assisted suicide 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)

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) 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)

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)

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)

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)

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)

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)

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)

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).).

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

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)

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)

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.

Short introduction to the epistemology of disagreement.

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)

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)

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)

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)

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.

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)

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)

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)

This is an essay for undergraduates. I set out the statue/clay problem and Tibbles/Tib in rich detail. I also present, with less detail, some other puzzles about material composition.

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)

Content externalism is the dominant view in the philosophy of mind. Content essentialism, the thesis that thought tokens have their contents essentially, is also popular. And many externalists are supporters of such essentialism. However, endorsing the conjunction of those views either (i) commits one to a counterintuitive view of the underlying physical nature of thought tokens or (ii) commits one to a slightly different but still counterintuitive view of the relation of thought tokens to physical tokens as well as a (...) rejection of realist physicalism. In this essay I reveal the problem and articulate and adjudicate among the possible solutions. I will end up rejecting content essentialism. (shrink)

We all can identify many contemporary philosophy professors we know to be theists of some type or other. We also know that often enough their nontheistic beliefs are as epistemically upstanding as the non-theistic beliefs of philosophy professors who aren’t theists. In fact, the epistemic-andnon-theistic lives of philosophers who are theists are just as epistemically upstanding as the epistemic-and-non-theistic lives of philosophers who aren’t theists. Given these and other, similar, facts, there is good reason to think that the pro-theistic beliefs (...) of theistic philosophers are frequently epistemically upstanding. Given their impeccable epistemic credentials on non-theistic matters, the amount of careful thought that lies behind their theism, the large size of the community of philosophical theists, as well as other, similar facts, it would be surprising if all or even most of their pro-theistic beliefs were epistemically blameworthy in some or other signicant sense tied to charges such as ‘He should know better than to believe that’ (so mere false belief need not be blameworthy in this sense; the use of ‘blameworthy’ will be claried below). Of course some of the pro-theistic beliefs of some theistic philosophers are epistemically blameworthy; the mere large numbers of fallible theistic philosophers almost guarantees it. My point here is that it would be unexpected if most of the pro-theistic beliefs of theistic philosophers were epistemically blameworthy. (shrink)

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 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)

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)

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)

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)

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

The Burge-Putnam thought experiments have generated the thesis that beliefs are not fixed by the constitution of the body. However, many philosophers have thought that if this is true then there must be another content-like property. Even if the contents of our attitudes such as the one in ‘believes that aluminum is a light metal’, do not supervene on our physical makeups, nevertheless people who are physical duplicates must be the same when it comes to evaluating their rationality and explaining (...) their actions. I argue that the considerations motivating this view are best handled with just the ordinary ‘that’-clause contents. (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)

By pooling together exhaustive analyses of certain philosophical paradoxes, we can prove a series of fascinating results regarding philosophical progress, agreement on substantive philosophical claims, knockdown arguments in philosophy, the wisdom of philosophical belief, the epistemic status of metaphysics, and the power of philosophy to refute common sense. As examples, this Element examines the Sorites Paradox, the Liar Paradox, and the Problem of the Many – although many other paradoxes can do the trick too.

This is an essay written for students regarding how to write a philosophy paper.

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

Millianism is reasonable; that is, it is reasonable to think that all there is to the semantic value of a proper name is its referent. But Millianism appears to be undermined by the falsehood of Substitutivity, the principle that interchanging coreferential proper names in an intentional context cannot change the truth value of the resulting belief report. Mary might be perfectly rational in assenting to ‘Twain was a great writer’ as well as ‘Clemens was not a great writer’. Her confusion (...) does not seem to preclude her from assenting to those sentences in a normal, understanding manner. That is, Assent-for-Mary is true: Mary can knowingly assent to ‘Twain was a great writer’ and ‘Clemens was not a great writer’. By Disquotation—the rough principle that if in ordinary circumstances one assents to “P”, then one believes that P—Mary believes that Twain was a great writer and she believes that it’s not the case that Clemens was a great writer. If Substitutivity were true, then since ‘Mary believes that Twain was a great writer’ is true, ‘Mary believes that Clemens was a great writer’ would have to be true too. But then Mary would amount to a refutation of the plausible principle Consistency that, roughly put, no rational adult can have occurrently held and reflectively considered and compared contradictory beliefs. Since Disquotation, Assent-for-Mary, and Consistency are true, Substitutivity has to go. (shrink)

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.

This is an essay written for undergraduates who are confused about what a rigid designator is.

Kripke’s puzzle has puts pressure on the intuitive idea that one can believe that Superman can fly without believing that Clark Kent can fly. If this idea is wrong then many theories of belief and belief ascription are built from faulty data. I argue that part of the proper analysis of Kripke’s puzzle refutes the closure principles that show up in many important arguments in epistemology, e.g., if S is rational and knows that P and that P entails Q, then (...) if she considers these two beliefs and Q, then she is in a position to know that.. (shrink)

My hunch has always been that in the end, Fregeanism will defeat Millianism. So I suspect that my (1998) arguments on behalf of Millianism are flawed. Peter Graham (1999) is confident he has found the flaws, but he has not. I hope that some clarification will encourage others to reveal the errors.

Saul Kripke's puzzle about belief demonstrates the lack of soundness of the traditional argument for the Fregean fundamental principle that the sentences 'S believes that a is F' and 'S believes that b is F' can differ in truth value even if a = b. This principle is a crucial premise in the traditional Fregean argument for the existence of semantically relevant senses, individuative elements of beliefs that are sensitive to our varying conceptions of what the beliefs are about. Joseph (...) Owens has offered a new argument for this fundamental principle, one that is not subject to Kripke's criticisms. I argue that even though Owens' argument avoids Kripke's criticisms, it has other flaws. (shrink)

The epistemological consequences of paradox are paradoxical. They can be usefully generated by telling a series of once-upon-a-time stories that make various philosophical points, starting out innocent and ending up, well, paradoxical. This is an introduction to my Live Skepticism, defended in Skepticism Comes Alive.