Recently, a friend of one of these writers told her story of using one of a healthcare product to activate her stem cells as part of regenerative medicine. Regenerative medicine is a field of medicine that seeks to repair or replace damaged or diseased tissues and organs. This can be done through a variety of methods, including stem cell therapy, tissue engineering, and gene therapy. This is a short review article on this rapid field called regenerative medicine, in particular via (...) a new method called photobiomodulation, especially by virtue of low-intensity laser pen treatment. Hopefully it will attract more research in this interesting direction, both for laser/photobiomodulation to boost plant growth as well as in healthcare (see also: Christianto & Smarandache, 2022; Christianto, 2023). (shrink)

In this paper, we argue that several recent ‘wide’ perspectives on cognition (embodied, embedded, extended, enactive, and distributed) are only partially relevant to the study of cognition. While these wide accounts override traditional methodological individualism, the study of cognition has already progressed beyond these proposed perspectives towards building integrated explanations of the mechanisms involved, including not only internal submechanisms but also interactions with others, groups, cognitive artifacts, and their environment. The claim is substantiated with reference to recent developments in the (...) study of “mindreading” and debates on emotions. We claim that the current practice in cognitive (neuro)science has undergone, in effect, a silent mechanistic revolution, and has turned from initial binary oppositions and abstract proposals towards the integration of wide perspectives with the rest of the cognitive (neuro)sciences. (shrink)

Standard Type Theory, STT, tells us that b^n(a^m) is well-formed iff n=m+1. However, Linnebo and Rayo have advocated the use of Cumulative Type Theory, CTT, has more relaxed type-restrictions: according to CTT, b^β(a^α) is well-formed iff β > α. In this paper, we set ourselves against CTT. We begin our case by arguing against Linnebo and Rayo’s claim that CTT sheds new philosophical light on set theory. We then argue that, while CTT ’s type-restrictions are unjustifiable, the type-restrictions imposed by (...) STT are justified by a Fregean semantics. What is more, this Fregean semantics provides us with a principled way to resist Linnebo and Rayo’s Semantic Argument for CTT. We end by examining an alternative approach to cumulative types due to Florio and Jones; we argue that their theory is best seen as a misleadingly formulated version of STT. (shrink)

Inflicting harm is generally preferable to inflicting death. If you must choose between the two, you should generally choose to harm. But prenatal harm seems different. If a mother must choose between harming her fetus or aborting it, she may choose either, at least in many cases. So it seems that prenatal harm is particularly objectionable, sometimes on a par with death. This paper offers an explanation of why prenatal harm seems particularly objectionable by drawing an analogy to the all-or-nothing (...) problem. It then argues that this analogy offers independent support for the ‘voluntarist’ view that at least some parental role obligations are grounded in the choice to be a parent. (shrink)

The view that it is better for life to be created free of disability is pervasive in both common sense and philosophy. We cast doubt on this view by focusing on an influential line of thinking that manifests it. That thinking begins with a widely-discussed principle, Procreative Beneficence, and draws conclusions about parental choice and disability. After reconstructing two versions of this argument, we critique the first by exploring the relationship between different understandings of well-being and disability, and the second (...) by more briefly focusing on the idea of a significant reason. By placing these results against the broader historical and ongoing contexts in which the lives of those with disabilities have been deemed of inferior quality, we conclude with a call for greater humility about disability and well-being in thought and practice. (shrink)

In the literature of collective intentions, the ‘we-intentions’ that lie behind cooperative actions are analysed in terms of individual mental states. The core forms of these analyses imply that all Nash equilibrium behaviour is the result of collective intentions, even though not all Nash equilibria are cooperative actions. Unsatisfactorily, the latter cases have to be excluded either by stipulation or by the addition of further, problematic conditions. We contend that the cooperative aspect of collective intentions is not a property of (...) the intentions themselves, but of the mode of reasoning by which they are formed. We analyse collective intentions as the outcome of team reasoning, a mode of practical reasoning used by individuals as members of groups. We describe this mode of reasoning in terms of formal schemata, discuss a range of possible accounts of group agency, and show how existing theories of collective intentions fit into this framework. (shrink)

I defend the widely-held view that morally worthy action need not be motivated by a desire to promote rightness as such. Some have recently come to reject this view, arguing that desires for rightness as such are necessary for avoiding a certain kind of luck thought incompatible with morally worthy action. I show that those who defend desires for rightness as such on the basis of this argument misunderstand the relationship between moral worth and the kind of luck that their (...) argument employs. Consequently, the argument provides no reason to doubt the popular view that a desire for rightness as such is no part of virtue. I conclude by suggesting that a family of worries about merely accidentally right action presuppose one side of the recent debate about objectivism and perspectivism about moral rightness. (shrink)

Joyce (1998) gives an argument for probabilism: the doctrine that rational credences should conform to the axioms of probability. In doing so, he provides a distinctive take on how the normative force of probabilism relates to the injunction to believe what is true. But Joyce presupposes that the truth values of the propositions over which credences are defined are classical. I generalize the core of Joyce’s argument to remove this presupposition. On the same assumptions as Joyce uses, the credences of (...) a rational agent should always be weighted averages of truth value assignments. In the special case where the truth values are classical, the weighted averages of truth value assignments are exactly the probability functions. But in the more general case, probabilistic axioms formulated in terms of classical logic are violated—but we will show that generalized versions of the axioms formulated in terms of non-classical logics are satisfied. (shrink)

Many accounts of structural rationality give a special role to logic. This paper reviews the problem case of clear-eyed logical uncertainty. An account of rational norms on belief that does not give a special role to logic is developed: doxastic probabilism.

We demonstrate how real progress can be made in the debate surrounding the enhanced indispensability argument. Drawing on a counterfactual theory of explanation, well-motivated independently of the debate, we provide a novel analysis of ‘explanatory generality’ and how mathematics is involved in its procurement. On our analysis, mathematics’ sole explanatory contribution to the procurement of explanatory generality is to make counterfactual information about physical dependencies easier to grasp and reason with for creatures like us. This gives precise content to key (...) intuitions traded in the debate, regarding mathematics’ procurement of explanatory generality, and adjudicates unambiguously in favour of the nominalist, at least as far as explanatory generality is concerned. (shrink)

Universals are putative objects like wisdom, morality, redness, etc. Although we believe in properties (which, we argue, are not a kind of object), we do not believe in universals. However, a number of ordinary, natural language constructions seem to commit us to their existence. In this paper, we provide a fictionalist theory of universals, which allows us to speak as if universals existed, whilst denying that any really do.

A general survey of Frege's views on truth, the paper explores the problems in response to which Frege's distinctive view that sentences refer to truth-values develops. It also discusses his view that truth-values are objects and the so-called regress argument for the indefinability of truth. Finally, we consider, very briefly, the question whether Frege was a deflationist.

While it is tempting to suppose that an act has moral worth just when and because it is motivated by sufficient moral reasons, philosophers have, largely, come to doubt this analysis. Doubt is rooted in two claims. The first is that some facts can motivate a given act in multiple ways, not all of which are consistent with moral worth. The second is the orthodox view that normative reasons are facts. I defend the tempting analysis by proposing and defending a (...) heterodox account of both normative and motivating reasons that is inspired by Donald Davidson’s primary reasons. We should adopt the heterodox view, I argue, because it addresses an overlooked but fatal defect in the orthodox conception of reasons, of which challenges to the tempting analysis are a special case. (shrink)

It is widely thought that functionalism and the qualia theory are better positioned to accommodate the ‘affective’ aspect of pain phenomenology than representationalism. In this paper, we attempt to overturn this opinion by raising problems for both functionalism and the qualia theory on this score. With regard to functionalism, we argue that it gets the order of explanation wrong: pain experience gives rise to the effects it does because it hurts, and not the other way around. With regard to the (...) qualia theory, we argue that it fails to capture the sense in which pain 's affective phenomenology rationalises various bodily-directed beliefs, desires, and behaviours. Representationalism, in contrast, escapes both of these problems: it gets the order of explanation right and it explains how pain 's affective phenomenology can rationalise bodily-directed beliefs, desires, and behaviours. For this reason, we argue that representationalism has a significant advantage in the debates about pain 's affective phenomenology. We end the paper by examining objections, including the question of what representationalists should say about so-called ‘disassociation cases’, such as pain asymbolia. (shrink)

Throughout his career, Derek Parfit made the bold suggestion, at various times under the heading of the "Normativity Objection," that anyone in possession of normative concepts is in a position to know, on the basis of their competence with such concepts alone, that reductive realism in ethics is not even possible. Despite the prominent role that the Normativity Objection plays in Parfit's non-reductive account of the nature of normativity, when the objection hasn't been ignored, it's been criticized and even derided. (...) We argue that the exclusively negative attention that the objection has received has been a mistake. On our reading, Parfit's Normativity Objection poses a serious threat to reductivism, as it exposes the uneasy relationship between our a priori knowledge of a range of distinctly normative truths and the typical package of semantic commitments that reductivists have embraced since the Kripkean revolution. (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)

The question of the cognitive role of fictionality is this: what is the correct cognitive attitude to take to p, when it is fictional that p? We began by considering one answer to this question, implicit in the work of Kendall Walton, that the correct response to a fictional proposition is to imagine that proposition. However, this approach is silent in cases of fictional incompleteness, where neither p nor its negation are fictional. We argue that that Waltonians should embrace a (...) pluralistic account of the cognitive role of fictional incompleteness: in some cases of fictional incompleteness, we are permitted to resolve the incompleteness during our engagement with the target fiction, and in other cases, we are obliged not to resolve the incompleteness. But though pluralism is accommodated by Walton’s wider account of fictionality, it puts tension on his motivating idea that fictionality stands to the imagination as truth stands to belief. And so we develop a rival conception of the cognitive role of fictionality that is built around a different analogy: on this evidentialist approach, (known) fictionality stands to the imagination as evidence stands to credence. (shrink)

A vexing problem in contemporary epistemology—one with origins in Plato’s Meno—concerns the value of knowledge, and in particular, whether and how the value of knowledge exceeds the value of mere true opinion. The recent literature is deeply divided on the matter of how best to address the problem. One point, however, remains unquestioned: that if a solution is to be found, it will be at the personal level, the level at which states of subjects or agents, as such, appear. We (...) take exception to this orthodoxy, or at least to its unquestioned status. We argue that subpersonal states play a significant—arguably, primary—role in much epistemically relevant cognition and thus constitute a domain in which we might reasonably expect to locate the “missing source” of epistemic value, beyond the value attached to mere true belief. (shrink)

Do factive mental states come in degrees? If so, what is their underlying structure, and what is their theoretical significance? Many have observed that ‘knows that’ is not a gradable verb and have taken this to be strong evidence that propositional knowledge does not come in degrees. This paper demonstrates that the adjective ‘aware that’ passes all the standard tests of gradability, and thus strongly motivates the idea that it refers to a factive mental state that comes in degrees. We (...) will explore a range of structural questions that have been overlooked in regard to our awareness of facts, showing that the degreed structure of awareness has significant implications for our understanding of knowledge. (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)

Philosophers have recently come to focus on explaining the phenomenon of ​bad beliefs,​ beliefs that are apparently true and well-evidenced but nevertheless objectionable. Despite this recent focus, a consensus is already forming around a particular explanation of these beliefs’ badness called ​moral encroachment​, according to which, roughly, the moral stakes engendered by bad beliefs make them particularly difficult to justify. This paper advances an alternative account not just of bad beliefs but of bad attitudes more generally according to which bad (...) beliefs’ badness originates not in a failure of sufficient evidence but in a failure to respond adequately to reasons. I motivate this alternative account through an analogy to recent discussions of moral worth centered on the well-known grocer case from Kant’s ​Groundwork​, and by showing that this analogy permits the proposed account to generalize to bad attitudes beyond belief. The paper concludes by contrasting the implications of moral encroachment and of the proposed account for bad attitudes’ blameworthiness. (shrink)

There is an intuitive difference in how we think about pluralism and attitudinal diversity in epistemological contexts versus political contexts. In an epistemological context, it seems problematically arbitrary to hold a particular belief on some issue, while also thinking it perfectly reasonable to hold a totally different belief on the same issue given the same evidence. By contrast, though, it doesn’t seem problematically arbitrary to have a particular set of political commitments, while at the same time thinking it perfectly reasonable (...) for someone in a similar position have a totally different set of political commitments. This chapter examines three explanatory theses that might be used to make sense of this difference: (1) that practical commitments are desire dependent in a way that beliefs are not; (2) that there are reasons to be resolute in practical commitments, but not in beliefs; and (3) that compromise in the face of practical political disagreement doesn’t mitigate controversy, whereas compromise in the face of disagreement about mere beliefs does mitigate controversy. (shrink)

A common objection to Sosa’s epistemology is that it countenances, in an objectionable way, unsafe knowledge. This objection, under closer inspection, turns out to be in far worse shape than Sosa’s critics have realised. Sosa and his defenders have offered two central response types to the idea that allowing unsafe knowledge is problematic: one response type adverts to the animal/reflective knowledge distinction that is characteristic of bi-level virtue epistemology. The other less-discussed response type appeals to the threat of dream scepticism, (...) and in particular, to the idea that many of our everyday perceptual beliefs are unsafe through the nearness of the dream possibility. The latter dreaming response to the safety objection to Sosa’s virtue epistemology has largely flown under the radar in contemporary discussions of safety and knowledge. We think that, suitably articulated in view of research in the philosophy and science of dreaming, it has much more going for it than has been appreciated. This paper further develops, beyond what Sosa does himself, the dreaming argument in response to those who think safety (as traditionally understood) is a condition on knowledge and who object to Sosa’s account on the grounds that it fails this condition. The payoffs of further developing this argument will be not only a better understanding of the importance of insights about dreaming against safety as a condition on knowledge, but also some reason to think a weaker safety condition, one that is relativised to SSS (i.e., skill/shape/situation) conditions for competence exercise, gets better results all things considered as an anti-luck codicil on knowledge. (shrink)

I propose and defend a novel view called “de se consequentialism,” which is noteworthy for two reasons. First, it demonstrates—contra Doug Portmore, Mark Schroeder, Campbell Brown, and Michael Smith, among others—that agent-neutral consequentialism is consistent with agent-centered constraints. Second, it clarifies the nature of agent-centered constraints, thereby meriting attention from even dedicated nonconsequentialists. Scrutiny reveals that moral theories in general, whether consequentialist or not, incorporate constraints by assessing states in a first-personal guise. Consequently, de se consequentialism enacts constraints through the (...) very same feature that nonconsequentialist theories do. (shrink)

Matteo Ricci (1552-1610) was an Italian Jesuit and one of the first Christian missionaries to China in the modern era. He was a genuine polymath—a translator, cartographer, mathematician, astronomer, and musician. Above all, Ricci was a missionary for the gospel. As we briefly examine his 1603 seminal work, The True Meaning of the Lord of Heaven, our hope is that we, as evangelical educators, will perceive some of the deeper principles necessary for our own missionary work among unreached people.

This essay explores the thesis that for vague predicates, uncertainty over whether a borderline instance x of red/large/tall/good is to be understood as practical uncertainty over whether to treat x as red/large/tall/good. Expressivist and quasi-realist treatments of vague predicates due to John MacFarlane and Daniel Elstein provide the stalking-horse. It examines the notion of treating/counting a thing as F , and links a central question about our attitudes to vague predications to normative evaluation of plans to treat a thing as (...) F . The essay examines how the account applies to normatively defective or contested terms. The final section raises a puzzle about the mechanics of MacFarlane’s detailed implementation for the case of gradable adjectives. (shrink)

‘The problem with simulations is that they are doomed to succeed.’ So runs a common criticism of simulations—that they can be used to ‘prove’ anything and are thus of little or no scientific value. While this particular objection represents a minority view, especially among those who work with simulations in a scientific context, it raises a difficult question: what standards should we use to differentiate a simulation that fails from one that succeeds? In this paper we build on a structural (...) analysis of simulation developed in previous work to provide an evaluative account of the variety of ways in which simulations do fail. We expand the structural analysis in terms of the relationship between a simulation and its real-world target emphasizing the important role of aspects intended to correspond and also those specifically intended not to correspond to reality. The result is an outline both of the ways in which simulations can fail and the scientific importance of those various forms of failure. (shrink)

The automation of online social life is an urgent issue for researchers and the public alike. However, one of the most significant uses of such technologies seems to have gone largely unnoticed by the research community: religion. Focusing on Islamic Prayer Apps, which automatically post prayers from its users’ accounts, we show that even one such service is already responsible for millions of tweets daily, constituting a significant portion of Arabic-language Twitter traffic. We argue that the fact that a phenomenon (...) of these proportions has gone unnoticed by researchers reveals an opportunity to broaden the scope of the current research agenda on online automation. (shrink)

The VIA Classification of Strengths and Virtues is the most commonly used model of positive personality. In this study, we used two methods of model modification to develop models for two measures of the character strengths, the VIA Inventory of Strengths-Revised and the Global Assessment of Character Strengths. The first method consisted of freeing residual covariances based on modification indices until good fit was achieved. The second was residual network modeling (RNM), which frees residual partial correlations while minimizing a function (...) that penalizes more complex models. Models based on both strategies were developed for the two questionnaires. The resulting structural models were then applied to four other samples. Though both modification procedures achieved good fit in the sample used to develop the models, only RNM resulted in adequate model fit for both measures in all cross-validation samples. This finding suggests RNM is more robust against overfitting than traditional practices. Moreover, the result supports the validity of the three-factor model of character strengths with replicability. (shrink)

The wrong kind of reason (WKR) problem is a problem for attempts to analyze normative properties using only facts about the balance of normative reasons, a style of analysis on which the ‘Reasons First’ programme depends. I argue that this problem cannot be solved if the orthodox view of reasons is true --- that is, if each normative reason is numerically identical with some fact, proposition, or state-of-affairs. That’s because solving the WKR problem requires completely distinguishing between the right- and (...) wrong-kind reasons for an attitude. I argue that some facts give both right- and wrong-kind reasons for an attitude. Consequently, no such distinction between the two types of reasons is complete if reasons are facts or the like. I conclude by suggesting that reasons and facts are related by constitution, not identity. (shrink)

Throughout its history, Bohm's interpretation of quantum mechanics has been systematically misunderstood and ignored. It was often dismissed for reasons having more to do with politics, religion, positivism, and sloppy thought, than for reasons central to physics. Still, like any physical theory, Bohm's theory faces challenges of varying degrees of severity. Here we review and evaluate some of these challenges.

This article offers a comprehensive and critical analysis of Eric Heinze’s book Hate Speech and Democratic Citizenship (Oxford University Press, 2016). Heinze’s project is to formulate and defend a more theoretically complex version of the idea (also defended by people like Ronald Dworkin and James Weinstein) that general legal prohibitions on hate speech in public discourse compromises the state’s democratic legitimacy. We offer a detailed synopsis of Heinze’s view, highlighting some of its distinctive qualities and strengths. We then develop a (...) critical response to this view with three main focal points: (1) the characterisation of democratic legitimacy as something distinct from (and whose demands aren’t identical with those of) legitimacy per se; (2) the claim that the requirements of democracy are hypothetical, rather than categorical, imperatives; and relatedly (3) the question of how we should reconcile the requirements of democratic legitimacy with the costs that may follow from prioritising democratic legitimacy. We argue that there are significant difficulties for Heinze’s account on all three fronts. (shrink)

D. M. Armstrong famously claims that deterministic laws of nature are contingent relations between universals and that his account can also be straightforwardly extended to irreducibly probabilistic laws of nature. For the most part, philosophers have neglected to scrutinize Armstrong’s account of probabilistic laws. This is surprising precisely because his own claims about probabilistic laws make it unclear just what he takes them to be. We offer three interpretations of what Armstrong-style probabilistic laws are, and argue that all three interpretations (...) are incompatible either with some feature of Armstrong’s broader metaphysics or with essential features of his account of laws (or both). (shrink)

We attempt here to trace the evolution of Frege’s thought about truth. What most frames the way we approach the problem is a recognition that hardly any of Frege’s most familiar claims about truth appear in his earliest work. We argue that Frege’s mature views about truth emerge from a fundamental re-thinking of the nature of logic instigated, in large part, by a sustained engagement with the work of George Boole and his followers, after the publication of Begriffsschrift and the (...) appearance of critical reviews by members of the Boolean school. (shrink)

We can use radically different reference‐schemes to generate the same truth‐conditions for the sentences of a language. In this paper, we do three things. (1) Distinguish two arguments that deploy this observation to derive different conclusions. The first argues that reference is radically indeterminate: there is no fact of the matter what ordinary terms refer to. This threat is taken seriously and most contemporary metasemantic theories come with resources intended to rebut it. The second argues for radical parochialism about reference: (...) it's a reflection of our parochial interests, rather than the nature of the subject matter, that our theorizing about language appeals to reference rather than another relation that generates the same truth‐conditions. Rebuttals of the first argument cut no ice against the second, because radical parochialism is compatible with reference being determinate. (2) Argue that radical parochialism, like radical indeterminacy, would be shocking if true. (3) Argue that the case for radical parochialism turns on the explanatory purposes of “reference”‐talk: on relatively “thin” conceptions, the argument goes through, and radical parochialism is (shockingly!) true; on richer conceptions, the argument can be blocked. We conclude that non‐revisionists must endorse, and justify, a relatively rich conception of the explanatory purposes of “reference”‐talk. (shrink)

The world of artificial intelligence appears to be in rapid transition, and claims that artificial general intelligence is impossible are competing with concerns that we may soon be seeing Artificial Godlike Intelligence and that we should be very afraid of this prospect. This article discusses the issues from a psychological and social perspective and suggests that with the advent of Generative Artificial Intelligence, something that looks to humans like Artificial General Intelligence has become a distinct possibility as is the idea (...) of making it semi-autonomous: not just responding to discrete external inputs or performing specific tasks but able to prompt itself to create an ongoing stream of cognition that can possess something akin to a ‘purpose’. Add to that the ability of computers to be connected in vast networks, and we can envisage intelligences with staggering amounts of knowledge and reasoning capability, engaging with humans to anticipate and grant wishes. Such Semi-Autonomous Godlike Artificial Intelligences (SAGAIs—meaning ‘engagements’ in Hindi) could end up like Kali, wreaking death and destruction on our species or like Thor, acting as a saviour and protector of humanity. Which of these our SAGAIs most resemble could depend on whose wishes it is designed to serve: a rich oligarchy seeking ever greater wealth and power whatever the cost to others, or a populace that has compassion for each other and for life on the planet. (shrink)

Is simulation some new kind of science? We argue that instead simulation fits smoothly into existing scientific practice, but does so in several importantly different ways. Simulations in general, and computer simulations in particular, ought to be understood as techniques which, like many scientific techniques, can be employed in the service of various and diverse epistemic goals. We focus our attentions on the way in which simulations can function as (i) explanatory and (ii) predictive tools. We argue that a wide (...) variety of simulations, both computational and physical, are best conceived in terms of a set of common features: initial or input conditions, a mechanism or set of rules, and a set of results or output conditions. Studying simulations in these terms yields a new understanding of their character as well as a body of normative recommendations for the care and feeding of scientific simulations. (shrink)

Some rules seem more important than others. The moral rule to keep promises seems more important than the aesthetic rule not to wear brown with black or the pool rule not to scratch on the eight ball. A worrying number of metaethicists are increasingly tempted to explain this difference by appealing to something they call “authoritative normativity” – it’s because moral rules are “authoritatively normatively” that they are especially important. The authors of this chapter argue for three claims concerning “authoritative (...) normativity”: (1) that motivation for it originates in a parochial conception of “normative flavours”; (2) that arguments against alternative ways of explaining e.g., morality’s importance are overblown; and (3) that there are strong reasons against theorizing in terms of “authoritative normativity”. The overarching aim is not to show that “authoritative normativity” is incoherent or entirely unmotivated. Rather, it is to discuss some of “authoritative normativity’s” deeper commitments to correct the impression that is it largely benign or that it is entailed by familiar and popular “metanormative” positions. Authoritative normativity, it seems to us, is a solution in search of a problem. (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)

Nozick argues, in “Anarchy, State, and Utopia”, correctly I think, that we can go from an equal distribution of wealth to an unequal one through just means. Nozick then asks: If people voluntarily move from a just distribution of wealth, D1, to a different distribution, D2, “isn’t D2 also just?” While Nozick thinks the new distribution of wealth, D2, is just, I think that it is at least possible to go from a just state of affairs to an un-just state (...) of affairs by just means. I then argue that any unequal distribution of wealth cannot maximize the good derived from wealth. Therefore, on the basis of plausible utilitarian ideas, any distribution of wealth that isn’t at least roughly equal is un-just, even if it was arrived at by just means from an equal and just distribution of wealth. (shrink)

Applied ontologies have been used more and more frequently to enhance systems engineering. In this paper, we argue that adopting principles of ontological realism can increase the benefits that ontologies have already been shown to provide to the systems engineering process. Moreover, adopting Basic Formal Ontology (BFO), an ISO standard for top-level ontologies from which more domain specific ontologies are constructed, can lead to benefits in four distinct areas of systems engineering: (1) interoperability, (2) standardization, (3) testing, and (4) data (...) exploitation. Reaping these benefits in a model-based systems engineering (MBSE) context requires utilizing an ontology’s vocabulary when modeling systems and entities within those systems. If the chosen ontology abides by the principles of ontological realism, a semantic standard capable of uniting distinct domains, using BFO as a hub, can be leveraged to promote greater interoperability among systems. As interoperability and standardization increase, so does the ability to collect data during the testing and implementation of systems. These data can then be reasoned over by computational reasoners using the logical axioms within the ontology. This, in turn, generates new data that would have been impossible or too inefficient to generate without the aid of computational reasoners. (shrink)

There’s a long but relatively neglected tradition of attempting to explain why many researchers working on the nature of phenomenal consciousness think that it’s hard to explain.1 David Chalmers argues that this “meta-problem of consciousness” merits more attention than it has received. He also argues against several existing explanations of why we find consciousness hard to explain. Like Chalmers, we agree that the meta-problem is worthy of more attention. Contra Chalmers, however, we argue that there’s an existing explanation that is (...) more promising than his objections suggest. We argue that researchers find phenomenal consciousness hard to explain because phenomenal concepts are complex demonstratives that encode the impossibility of explaining consciousness as one of their application conditions. (shrink)

Convergence research is driven by specific and compelling problems and requires deep integration across disciplines. The potential of convergence research is widely recognized, but questions remain about how to design, facilitate, and assess such research. Here we analyze a seven-year, twelve-million-dollar convergence project on sustainable climate risk management to answer two questions. First, what is the impact of a project-level emphasis on the values that motivate and tie convergence research to the compelling problems? Second, how does participation in convergence projects (...) shape the research of postdoctoral scholars who are still in the process of establishing themselves professionally? We use an interview-based approach to characterize what the project specifically enabled in each participant’s research. We find that (a) the project pushed participants’ research into better alignment with the motivating concept of convergence research and that this effect was stronger for postdoctoral scholars than for more senior faculty. (b) Postdocs’ self-assessed understanding of key project themes, however, appears unconnected to metrics of project participation, raising questions about training and integration. Regarding values, (c) the project enabled heightened attention to values in the research of a large minority of participants. (d) Participants strongly believe in the importance of explicitly reflecting on values that motivate and pervade scientific research, but they question their own understanding of how to put value-focused science into practice. This mismatch of perceived importance with poor understanding highlights an unmet need in the practice of convergence science. (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)

Imagine that only the state can meet the need for housing but decides not to do so. Unsurprisingly, participants in a vignette experiment deem this scenario unjust. Hence, justice ratings increase when the living situation improves. To a lesser extent, this also holds beyond the need threshold, understood as the minimum amount necessary for a decent life. Surprisingly, however, the justice evaluation function is highly convex below this point. The resulting S-shaped curve is akin to the value function in prospect (...) theory, with the need threshold providing the point of reference and inflection. A control treatment without needs-information supports this interpretation. Needs-information furthermore compresses the perceived injustice of arbitrary inequality. As in prospect theory, such reference dependency suggests biases in judgment and decision making. A consequence may be that the lot of the poorest in society does not receive the attention it would otherwise get. (shrink)

The ten original studies included in this Research Topic investigate selected assumptions and predictions of parochial altruism theory in detail. We, the editors, are convinced that their highly instructive findings will help researchers interested in parochial altruism, but also in intergroup psychology more generally, to gain a much more fine-grained understanding of the interplay of altruistic and spiteful motives in human decision making in the context of intergroup relations. The broad range of disciplines represented by the authors contributing to this (...) Research Topic and the variety of methods used in their studies are representative for the current interdisciplinary interest in parochial altruism. The most important insight that, in our view, can be derived from the works collected here is that human decision making in intergroup contexts is more complex than suggested by current theory. Thus, we hope that future theorizing on parochial altruism will be stimulated by the evidence gathered in this Research Topic. In this editorial, we briefly highlight central findings reported here, which, to us, appear most informative for prospective enhancements of parochial altruism theory. (shrink)