The urgent importance of dealing with the climate crisis has led some influential theorists to argue that at least some demands for justice must give way to pragmatic and strategic considerations. These theorists (Cass Sunstein, Eric Posner, and David Weisbach, all academic lawyers, and John Broome, an academic philosopher) contend that the failures of international negotiations and other efforts to change economic policies and practices have shown that moral exhortations are worse than ineffective. Although Broome's position is similar (...) in these respects to that of Sunstein, Posner and Weisbach, it differs in other important respects, including his understanding of the idea of justice, his disagreement with the policy approach (which he calls "efficiency with sacrifice") favored by the economists Nicholas Stern and William Nordhaus, and his proposal for establishing a new international financial institution, a World Climate Bank, in addition to putting a price on carbon. Elsewhere I offer a critical analysis of the position taken by Posner and Weisbach in their book, Climate Change Justice. Their arguments against allowing principles of distributive justice (narrowly understood) to constrain treaty negotiations fail to rule out the principles of John Rawls' Law of Peoples (which is a conception of the moral basis of a just international order, including states' obligations to secure basic human rights for all). Therefore their arguments against shaping climate treaties to reflect any principles of justice do not succeed in supporting their position. Here I offer a critical analysis of Broome's position. I raise and discuss objections to Broome's proposal for a WCB, and I argue that the continued relevance of these objections is contingent on how the proposal for a WCB may get developed. (shrink)

Eric Posner’s signaling theory of social norms holds that individuals adopt social norms in order to signal that they have a low discount rate , and are therefore reliable long-term cooperative partners. This paper radically expands Posner’s theory by incorporating internalization into his model . I do this by tethering Posner’s theory to an evolutionary model. I argue that internalization is an adaptive quality that enhances the individual’s ability to play Posner’s signaling game and was (...) thus selected for. The idea that internalization is evolutionarily conditioned is not new; however, linking this to Posner’s theory of discount rate signals is, and doing so offers tremendous explanatory potential.Part I identifies the limitations of Posner’s purely rational choice approach, argues for the necessity of including internalization, and then proposes a model that does so – what I call the Expanded Signaling Model of Norms . Part II examines the problems that arise when we embrace such a model. How this model answers some key criticisms plaguing sociobiology is also briefly explored. Part III then examines existing criticisms of Posner’s theory, demonstrating how the Expanded Signaling Model clearly resolves these issues. The paper concludes that incorporating internalization into Posner’s signaling model greatly broadens the explanatory reach of Posner’s theory, providing a measure of clarity and predictability regarding how and why norms are internalized – an important insight, as these beliefs form the normative underpinning to law. (shrink)

Obstacles to achieving a global climate treaty include disagreements about questions of justice raised by the UNFCCC's principle that countries should respond to climate change by taking cooperative action "in accordance with their common but differentiated responsibilities and respective capabilities and their social and economic conditions". Aiming to circumvent such disagreements, Climate Change Justice authors Eric Posner and David Weisbach argue against shaping treaty proposals according to requirements of either distributive or corrective justice. The USA's climate envoy, Todd (...) Stern, takes a similar position. In this article I explain the practical and theoretical drawbacks of Posner & Weisbach's welfarist perspective and propose an alternative. I show that their arguments fail to rule out John Rawls' non-utilitarian, political conception of international justice and human rights, the Law of Peoples. On this basis I develop a conception of climate justice that highlights implications of some of Rawls' principles and adds a principle for determining fair shares of climate -treaty-related benefits and burdens. I propose this conception as a moral framework for negotiating a treaty that would promote human welfare consistently with requirements of justice, and I argue that a treaty proposal satisfying these requirements could best satisfy Posner & Weisbach's own feasibility criteria. (shrink)

In this paper I tell the story of the evolution of the climate change regime, locating its origins in "the dream of Rio," which supposed that the nations of the world would join in addressing the interlocking crises of environment and development. I describe the failure at Copenhagen and then go on to discuss the "reboot" of the climate negotiations advocated by Eric A. Posner and David Weisbach. I bring out some ambiguities in their notion of International Paretianism, (...) which is supposed to effectively limit the influence of moral ideals in international affairs, and pose a dilemma. I go on to discuss the foundations of their views regarding climate justice, arguing that the most reasonable understandings of their favored theoretical views would not lead to some of their conclusions. Finally, I return to the climate regime, and make some observations about the road ahead, concluding that for the foreseeable future the most important climate change action will be within countries rather than among them. (shrink)

A current focus of legal debate is the proper role of the courts in the interpretation of statutes and the Constitution. Are judges to look solely to the naked language of an enactment, then logically deduce its application in simple syllogistic fashion, as legal formalists had purported to do? Or may the inquiry into meaning be informed by perhaps unbridled and unaccountable judicial notions of public policy, using legal realism to best promote the general welfare? Judge Posner considers the (...) concepts of formalism and realism to be meaningful and useful in common law reasoning but in interpretation to be useless and, worse, forbidden. He analogizes unclear "orders" from a legislature to garbled battlefield communications, and argues that the duty of the recipient of those orders (the judge) is to advance as best he can the enterprise set on foot by the superiors. Case studies elaborate this thesis. Judicial decisions interpreting fixed texts, Judge Posner concludes, can be neither logically correct or incorrect, philosophically sound or unsound, until the ultimate jurist, time, has adjudged their results. (shrink)

“What is the structure of thought?” is as central a question as any in cognitive science. A classic answer to this question has appealed to a Language of Thought (LoT). We point to emerging research from disparate branches of the field that supports the LoT hypothesis, but also uncovers diversity in LoTs across cognitive systems, stages of development, and species. Our letter formulates open research questions for cognitive science concerning the varieties of rules and representations that underwrite various LoT-based systems (...) and how these variations can help researchers taxonomize cognitive systems. (shrink)

The cognitive science of belief is a burgeoning field, with insights ranging from detailing the fundamental structure of the mind, to explaining the spread of fake news. Here we highlight how new insights into belief acquisition, storage, and change can transform our understanding of psychiatric disorders. Although we focus on monothematic delusions, the conclusions apply more broadly. -/- .

While Spelke provides powerful support for concept nativism, her focus on understanding concept nativism through six innate core knowledge systems is too confining. There is also no reason to suppose that thecurse of a compositional mindconstitutes a principled reason for positing less innate structure in explaining the origins of concepts. Any solution to such problems must take into account poverty of the stimulus considerations, which argue for postulating more innate structure, not less.

One relatively neglected challenge in ethical artificial intelligence (AI) design is ensuring that AI systems invite a degree of emotional and moral concern appropriate to their moral standing. Although experts generally agree that current AI chatbots are not sentient to any meaningful degree, these systems can already provoke substantial attachment and sometimes intense emotional responses in users. Furthermore, rapid advances in AI technology could soon create AIs of plausibly debatable sentience and moral standing, at least by some relevant definitions. Morally (...) confusing AI systems create unfortunate ethical dilemmas for the owners and users of those systems, since it is unclear how those systems ethically should be treated. I argue here that, to the extent possible, we should avoid creating AI systems whose sentience or moral standing is unclear and that AI systems should be designed so as to invite appropriate emotional responses in ordinary users. (shrink)

Urban parking systems are a significant contributor to traffic congestion and driver frustration, with studies showing that up to 30% of urban traffic is caused by drivers searching for parking. Traditional parking systems often lack real-time data and adaptability, leading to inefficiencies such as overfilled lots and underutilized spaces. This paper explores how Artificial Intelligence (AI) and IoT technologies can optimize urban parking by enabling real-time parking space detection, demand forecasting, and dynamic pricing. By integrating data from IoT sensors, traffic (...) systems, and mobile applications, cities can reduce congestion, improve parking availability, and enhance the overall urban mobility experience. Experimental results demonstrate significant improvements in parking efficiency, traffic flow, and user satisfaction, offering a sustainable blueprint for smart urban parking systems. (shrink)

The guiding thread of the paper is the diagnosis that the advanced division of cognitive labor (that is, intellectual specialization) engenders a set of perennial, political and epistemic challenges (Millgram 2015) that, simultaneously, also generate opportunities for philosophy. In this paper, I re-characterize the nature of synthetic philosophy as a means to advance and institutionalize philosophy. For my definition of synthetic philosophy see section 2. In section 1, I treat Plato’s Republic as offering two models to represent philosophy's relationship to (...) the other sciences within the advanced division of labor. I highlight that for Plato intellectual specialization is central not just to economic, but also to political life. And, yet, that the very dispersion of scientific expertise, and its esoteric nature, also generates non-trivial challenges to the recognition and political utilization of knowledge. From Plato we can infer that in imperfect circumstances, philosophy’s self-constitution is, in part, a response to these challenges in political epistemology. However, how philosophy is institutionalized differs through time. In section 2, I re-introduce my conceptualization of synthetic philosophy and restate it. This makes visible that synthetic philosophy is already widely practiced in the profession as philosophy of the special sciences, PPE, formal modelling, public philosophy, etc. I use recent work by Dorst (2023) to illustrate synthetic philosophy and to identify some of the processes that give rise to the need for it. In sections 2-3, I contrast my account with the evolving ways that Philip Kitcher has conceptualized synthetic philosophy in order to make more precise the version promoted here. I do so not just because Kitcher and I use the same term, ‘synthetic philosophy,’ but because the temptations inherent in Kitcher’s approach should be resisted. -/- . (shrink)

How do you know what you want? Philosophers have lately developed sophisticated accounts of the practical and doxastic knowledge that are rooted in the point of view of the subject. Our ability to just say what we are doing or what we believe—that is, to say so authoritatively, but not on the basis of observation or evidence—is an aspect of our ability to reason about the good and the true. However, no analogous route to orectic self-knowledge is feasible. Knowledge of (...) desire is distinctive in being a matter of our affective response to imagined prospects. An examination of this idea yields the following thesis: I know what I want just in case the object pursued in anticipation of a certain pleasure actually yields the anticipated pleasure. (shrink)

The notion of domain specificity plays a central role in some of the most important debates in cognitive science. Yet, despite the widespread reliance on domain specificity in recent theorizing in cognitive science, this notion remains elusive. Critics have claimed that the notion of domain specificity can't bear the theoretical weight that has been put on it and that it should be abandoned. Even its most steadfast proponents have highlighted puzzles and tensions that arise once one tries to go beyond (...) an initial intuitive sketch of what domain specificity involves. In this paper, we address these concerns head on by developing an account of what it means for a cognitive mechanism to be domain specific that overcomes the obstacles that have made domain specificity seem so problematic. We then apply this understanding of domain specificity to one of the key debates that it has figured prominently in—the rationalism-empiricism debate concerning the origins of cognitive traits—and introduce several related theoretical notions that work alongside domain specificity in helping to clarify what makes a view more (or less) rationalist. This example illustrates how the notion of domain specificity can, and should, continue to play a central role in ongoing debates in cognitive science. (shrink)

Ensuring public safety is a critical challenge for rapidly growing urban areas. Traditional policing and emergency response systems often struggle to keep pace with the complexity and scale of modern cities. Artificial Intelligence (AI) offers a transformative solution by enabling real-time crime prediction, optimizing emergency resource allocation, and enhancing situational awareness through IoT-enabled systems. This paper explores how AI-driven analytics, combined with data from surveillance cameras, social media, and environmental sensors, can improve public safety in smart cities. By addressing challenges (...) such as data privacy, algorithmic bias, and system scalability, this study demonstrates the potential of AI to create safer, more resilient urban environments. Experimental results highlight improvements in crime detection rates, emergency response times, and resource utilization, paving the way for smarter public safety systems. (shrink)

Whole Brain Emulation has been championed as the most promising, well-defined route to achieving both human-level artificial intelligence and superintelligence. It has even been touted as a viable route to achieving immortality through brain uploading. WBE is not a fringe theory: the doctrine of Computationalism in philosophy of mind lends credence to the in-principle feasibility of the idea, and the standing of the Human Connectome Project makes it appear to be feasible in practice. Computationalism is a popular, independently plausible theory, (...) and Connectomics a well-funded empirical research program, so optimism about WBE is understandable. However, this optimism may be misplaced. This article argues that WBE is, at best, no more compelling than any of the other far-flung routes to achieving superintelligence. Similarly skeptical conclusions are found regarding immortality. The essay concludes with some positive considerations in favor of the Biological Theory of consciousness, as well as morals about the limits of Computationalism in both artificial intelligence and the philosophy of mind more generally. (shrink)

Urban wastewater management is a critical component of sustainable water cycles, but traditional systems often struggle with inefficiencies such as high operational costs, resource wastage, and environmental pollution. This paper explores how Artificial Intelligence (AI) and IoT technologies can optimize urban wastewater management by enabling real-time monitoring, predictive maintenance, and resource recovery. By integrating data from IoT sensors, water quality monitors, and treatment plants, cities can improve water quality, reduce operational costs, and recover valuable resources such as energy and nutrients. (...) Experimental results demonstrate significant improvements in treatment efficiency, resource recovery rates, and environmental impact, offering a sustainable blueprint for smart urban wastewater systems. (shrink)

It is often hard to articulate a thought. Why should this be, if not that to have a thought is one thing, and to know it something else? In fact the gap between thought and its articulation is not epistemic. While it’s true that we come to know our thoughts better through articulation, it's not because a thought is already perfectly determinate despite my ignorance of it. Rather, we make the thought determinate through articulation. This connection between the determinacy of (...) the thinker’s knowledge of their thought and the determinacy of the thought itself is a mark of thought’s fundamentally first-personal character: what’s beyond the reach of my current powers of articulation cannot be an object of any attitude of mine. (shrink)

The rapid urbanization of modern cities necessitates innovative approaches to data collection and integration for smarter urban management. With the Internet of Things (IoT) at the core of these advancements, the ability to efficiently gather, analyze, and utilize data becomes paramount. Generative Artificial Intelligence (AI) is revolutionizing data collection by enabling intelligent synthesis, anomaly detection, and real-time decision-making across interconnected systems. This paper explores how generative AI enhances IoT-driven data collection in smart cities, focusing on applications in transportation, energy, public (...) safety, and environmental monitoring. By addressing challenges such as data privacy, scalability, and ethical considerations, the study highlights how generative AI transforms urban governance and paves the way for sustainable and citizen-centric development. Key trends, case studies, and future research directions are discussed, showcasing the potential of generative AI as a cornerstone of smart city initiatives. (shrink)

The growing demand for energy in urban environments, coupled with the urgent need to reduce carbon emissions, necessitates innovative approaches to power generation, distribution, and consumption. Artificial Intelligence (AI)-driven smart grids offer a transformative solution by optimizing energy efficiency, integrating renewable resources, and ensuring grid stability. This paper explores how machine learning and IoT-enabled predictive analytics can enhance smart grid performance in urban areas. By addressing challenges such as demand forecasting, load balancing, and renewable energy intermittency, this study demonstrates the (...) potential of AI to revolutionize sustainable energy management. Experimental results highlight improvements in grid reliability, cost reduction, and carbon footprint minimization, paving the way for resilient and eco-friendly urban energy systems. (shrink)

This Stanford Encyclopedia of Philosophy entry provides an overview of theories of concepts. It is organized around five philosophical issues: (1) the ontology of concepts, (2) the structure of concepts, (3) empiricism and nativism about concepts, (4) concepts and natural language, and (5) concepts and conceptual analysis.

This paper offers an explanation for why some parts of philosophy have made no progress. Philosophy has made no progress because it cannot make progress. And it cannot because of the nature of the phenomena philosophy is tasked with explaining—all of it involves consciousness. Here, it will not be argued directly that consciousness is intractable. Rather, it will be shown that a specific version of the problem of consciousness is unsolvable. This version is the Problem of the Subjective and Objective. (...) Then it is argued that the unsolvability of this latter problem is why there are other unsolvable philosophy problems. (shrink)

Air pollution is a critical challenge for urban areas, contributing to public health crises and environmental degradation. Traditional air quality monitoring systems often lack the granularity and adaptability needed to address dynamic pollution sources and patterns. This paper explores how Artificial Intelligence (AI) and IoT technologies can enhance air quality management in smart cities by enabling real-time monitoring, pollution source identification, and adaptive mitigation strategies. By integrating data from IoT sensors, satellite imagery, and traffic systems, cities can reduce pollution levels, (...) improve public health outcomes, and promote sustainable urban environments. Experimental results demonstrate significant improvements in pollution detection accuracy, mitigation efficiency, and public awareness, offering a sustainable blueprint for urban air quality management. (shrink)

The growing volume of urban waste poses significant environmental and economic challenges for cities worldwide. Traditional waste management systems often rely on inefficient collection routes, inadequate recycling processes, and excessive landfill usage. This paper explores how Artificial Intelligence (AI) and IoT technologies can revolutionize waste management in smart cities by enabling real-time monitoring, automated sorting, and optimized collection routes. By integrating data from smart bins, robotic sorting systems, and predictive analytics, cities can achieve zero-waste goals and promote circular economy practices. (...) Experimental results demonstrate significant improvements in waste segregation accuracy, collection efficiency, and recycling rates, offering a sustainable blueprint for urban waste management. (shrink)

An Artificially Intelligent system (an AI) has debatable moral personhood if it is epistemically possible either that the AI is a moral person or that it falls far short of personhood. Debatable moral personhood is a likely outcome of AI development and might arise soon. Debatable AI personhood throws us into a catastrophic moral dilemma: Either treat the systems as moral persons and risk sacrificing real human interests for the sake of entities without interests worth the sacrifice, or do not (...) treat the systems as moral persons and risk perpetrating grievous moral wrongs against them. The moral issues become even more perplexing if we consider cases of possibly conscious AI that are subhuman, superhuman, or highly divergent from us in their morally relevant properties. (shrink)

Urban transportation systems face significant challenges due to increasing congestion, inefficient routes, and fluctuating passenger demand. Traditional public transportation networks often struggle to adapt dynamically to these challenges, leading to delays, overcrowding, and environmental inefficiencies. This paper explores how Artificial Intelligence (AI) and IoT technologies can optimize urban mobility by enabling real-time route optimization, demand forecasting, and passenger flow management. By integrating data from GPS trackers, fare collection systems, and environmental sensors, cities can reduce travel times, enhance commuter satisfaction, and (...) promote sustainable transportation. Experimental results demonstrate improvements in route efficiency, passenger load balancing, and operational costs, offering a blueprint for AI-driven smart urban mobility. (shrink)

Our interest in understanding belief stems partly from our being creatures who think. However, the term ‘belief’ is used to refer to many states: from the fully conscious rational state that partly constitutes knowledge to the fanciful states of alarm clocks. Which of the many ‘belief’ states must a theory of belief be answerable to? This is the scope question. I begin my answer with a reply to a recent argument that belief is invariably weak, i.e., that the evidential standards (...) that are required for belief are low. Although one state we refer to using the term ‘belief’ fits this profile, other ‘belief’ states do not. Crucially, when ‘belief’ is heard in a weak sense, it attributes a state that only a rational creature can be in. I will use this observation as a starting point for an argument that the study of (our) belief should not be constrained by the requirement that the illuminated state be held in common with any non‐rational being. This lends support to the Transformative Theory of Rationality, according to which rationality does not merely add powers or complexity to the animal mind, but transforms it into a different kind of mind altogether. (shrink)

Urbanization poses significant challenges to healthcare systems, including overcrowded hospitals, inequitable access to care, and rising costs. Artificial Intelligence (AI) and the Internet of Things (IoT) offer transformative solutions for optimizing healthcare delivery in smart cities. This paper explores how AI-driven predictive analytics, combined with IoT-enabled wearable devices and telemedicine platforms, can enhance patient outcomes, streamline resource allocation, and reduce urban health disparities. By analyzing real-time health data and predicting disease outbreaks, this study demonstrates the potential of AI to revolutionize (...) urban healthcare systems. Experimental results highlight improvements in diagnostic accuracy, emergency response times, and operational efficiency, paving the way for equitable and sustainable healthcare in smart cities. (shrink)

Water scarcity and inefficient water management are critical challenges for rapidly growing urban areas. Traditional water distribution systems often suffer from leaks, wastage, and inequitable access, exacerbating resource shortages. This paper explores how Artificial Intelligence (AI) and IoT technologies can optimize urban water management by enabling real-time monitoring, predictive maintenance, and efficient resource allocation. By integrating data from smart meters, pressure sensors, and weather forecasts, cities can reduce water losses, improve distribution efficiency, and ensure equitable access. Experimental results demonstrate significant (...) improvements in leak detection, water conservation, and infrastructure reliability, offering a sustainable blueprint for urban water management in smart cities. (shrink)

Noise pollution is a growing concern in urban areas, contributing to public health issues such as stress, sleep disturbances, and hearing loss. Traditional noise monitoring systems often lack the granularity and adaptability needed to address dynamic noise sources and patterns. This paper explores how Artificial Intelligence (AI) and IoT technologies can enhance noise pollution management in smart cities by enabling real-time monitoring, source identification, and adaptive mitigation strategies. By integrating data from IoT sensors, traffic systems, and urban infrastructure, cities can (...) reduce noise levels, improve public health outcomes, and enhance the quality of life for residents. Experimental results demonstrate significant improvements in noise detection accuracy, mitigation efficiency, and public awareness, offering a sustainable blueprint for urban noise pollution management. (shrink)

Buildings account for a significant portion of global energy consumption and carbon emissions, making energy efficiency a critical focus for urban sustainability. Traditional building management systems often lack the adaptability and precision needed to optimize energy usage dynamically. This paper explores how Artificial Intelligence (AI) and IoT technologies can enhance energy efficiency in smart buildings by enabling real-time monitoring, predictive maintenance, and adaptive control systems. By integrating data from smart meters, occupancy sensors, and environmental monitors, cities can reduce energy waste, (...) lower carbon footprints, and improve occupant comfort. Experimental results demonstrate significant improvements in energy savings, operational costs, and environmental impact, offering a sustainable blueprint for smart building management. (shrink)

The overwhelming majority of those who theorize about implicit biases posit that these biases are caused by some sort of association. However, what exactly this claim amounts to is rarely specified. In this paper, I distinguish between different understandings of association, and I argue that the crucial senses of association for elucidating implicit bias are the cognitive structure and mental process senses. A hypothesis is subsequently derived: if associations really underpin implicit biases, then implicit biases should be modulated by counterconditioning (...) or extinction but should not be modulated by rational argumentation or logical interventions. This hypothesis is false; implicit biases are not predicated on any associative structures or associative processes but instead arise because of unconscious propositionally structured beliefs. I conclude by discussing how the case study of implicit bias illuminates problems with popular dual-process models of cognitive architecture. (shrink)

Many new psychedelic religious organizations have recently emerged in the United States. These psychedelic churches operate in a legal gray area, which provides job opportunities, not just for lawyers, but also for philosophers of religion. To gain legal permission to use psychedelics, these churches need philosophically well-developed doctrines. Philosophers of religion can help develop these psychedelic doctrines. Looking at the law from a philosophical perspective, I derive six criteria which these psychedelic doctrines should satisfy. As an illustration, I show how (...) a modernized Platonism can satisfy these criteria. Just as bioethicists can help in the practice of medicine, so philosophers of religion can help with the legal proceedings of new psychedelic churches. (shrink)

Urban lighting systems are essential for safety, security, and quality of life, but they often consume significant energy and lack adaptability to changing conditions. Traditional lighting systems rely on fixed schedules and manual adjustments, leading to inefficiencies such as over-illumination and energy waste. This paper explores how Artificial Intelligence (AI) and IoT technologies can optimize urban lighting by enabling real-time adjustments, energy savings, and adaptive illumination based on environmental conditions and human activity. By integrating data from motion sensors, weather forecasts, (...) and traffic systems, cities can reduce energy consumption, enhance safety, and improve the quality of life for residents. Experimental results demonstrate significant improvements in energy efficiency, lighting quality, and operational costs, offering a sustainable blueprint for smart urban lighting systems. (shrink)

Urban green spaces are vital for mitigating climate change, enhancing biodiversity, and improving citizen well-being. However, traditional methods of designing and managing these spaces often lack the precision and scalability needed to address modern urban challenges. This paper explores how Artificial Intelligence (AI) and IoT technologies can optimize urban green spaces in smart cities. By integrating satellite imagery, soil sensors, and machine learning models, cities can dynamically monitor plant health, predict ecological impacts, and design green zones that maximize biodiversity and (...) sustainability. Experimental results demonstrate improvements in air quality, heat island reduction, and community engagement, offering a blueprint for AI-driven ecological urban planning. (shrink)

The Italian term sprezzatura refers to making what one does appear nonchalant and effortless when it in fact involves calculation and effort. This notion, which comes from Baldassare Castiglione's The Book of the Courtier, captures a practice that permeates many areas of our aesthetic lives, from the performing arts to everyday social interactions, and is useful for criticism and appreciation. However, this concept has received little attention in philosophical aesthetics. By filling out and making more precise Castiglione's casual and indirect (...) remarks about sprezzatura, I show how this concept both points to heretofore underappreciated aesthetic values and helps us see important aesthetic and moral differences between cases that otherwise seem alike. (shrink)

An analysis of a valenced corpus of English words revealed that words that rhyme with slurs are rated more poorly than their synonyms. What at first might seem like a bizarre coincidence turns out to be a robust feature of slurs, one arising from their phonetic structure. We report novel data on phonaesthetic preferences, showing that a particular class of phonemes are both particularly disliked, and overrepresented in slurs. We argue that phonaesthetic associations have been an overlooked source of some (...) of the more peculiar, arational aspects of slurs. We conclude by drawing broader morals about the evolution of the lexicon. (shrink)

Transhumanists want to free us from the constraints imposed by our humanity by means of “uploading”: extracting information from the brain, transferring it to a computer, and using it to create a purely electronic person there. That is supposed to move us from our human bodies to computers. This presupposes that a human being could literally move to a computer by a mere transfer of information. The chapter questions this assumption, then asks whether the procedure might be just as good, (...) as far as our interests go, even if it could not move us to a computer. (shrink)

Replicating or exceeding human intelligence, not just in particular domains but in general, has always been a major goal of Artificial Intelligence (AI). We argue here that “human intelligence” is not only ill-defined, but often conflated with broader aspects of human psychology. Standard arguments for replicating it are morally unacceptable. We then suggest a reframing: that the proper goal of AI is not to replicate humans, but to complement them by creating diverse intelligences capable of collaborating with humans. This goal (...) renders issues of theory of mind, empathy, and caring, or community engagement, central to AI. It also challenges AI to better understand the circumstances in which human intelligence, including human moral intelligence, fails. (shrink)

Legal theorists seek to persuade other jurists of certain theories: Textualism or purposivism; formalism or realism; natural law theory or positivism; prison reform or abolition; universal or particular human rights? Despite voluminous literature about these debates, tremendous uncertainty remains about which views experts endorse. This Article presents the first-ever empirical study of American law professors about legal theory questions. A novel dataset of over six hundred law professors reveals expert consensus and dissensus about dozens of longstanding legal theory debates. -/- (...) Law professors also debate questions about the nature of the legal academy. Descriptively, which subjects (e.g. constitutional law) and methods (e.g. law & economics) are most central within the legal academy today? And prescriptively, should today’s legal academy prioritize additional areas (e.g. legislation) or methods (e.g. critical race theory)? There is great interest in these questions but no empirical dataset of experts’ views; this results in uncertainty about which views experts endorse. This Article’s empirical study also clarifies these questions, documenting law professors’ evaluation of over one-hundred areas of law. -/- The legal theory and legal academy findings support implications for legal scholarship, education, and practice. Clearly, debates about law and the legal academy’s evolution should not be settled by a survey. Nevertheless, insofar as law professors are experts about these issues, it is instructive to discover and carefully examine what views those experts hold, so as to help determine which views are most likely to be true and how the legal academy ought to develop. (shrink)

Inquiry, Volume 57, Issue 1, Page 55-96, February 2014.

For a period of several years the philosopher of science Hasok Chang has promoted various inter-related views including pluralism, pragmatism, and an associated view of natural kinds. He has also argued for what he calls the persistence of everyday terms in the scientific view. Chang claims that terms like phlogiston were never truly abandoned but became transformed into different concepts that remain useful. On the other hand, Chang argues that some scientific terms such as acidity have suffered a form of (...) “rupture”, especially in the case of the modern Lewis definition of acids. Chang also complains that the degree of acidity of a Lewis acid cannot be measured using a pH meter and seems to regard this as a serious problem. The present paper examines some of these views, especially what Chang claims to be a rupture in the definition of acidity. It is suggested that there has been no such rupture but a genuine generalization, on moving from the Brønsted-Lowry theory to the Lewis theory of acidity. It will be shown how the quantification and measurement of Lewis acidity can easily be realized through the use of equilibrium theory and the use of stability constants. (shrink)

I frame my argument by way of Hayek's tendency to treat Hume and Smith as central articulations of the rule of law. The rest of the paper explores their defense of clientelism. First, I introduce Hume’s ideas on the utility of patronage in his essay, “Of the Independency of Parliament.” I argue that in Hume clientelism just is a feature of parliamentary business. It seems ineliminable. I then contextualize Hume’s account by comparing it to Montesquieu’s account of this system of (...) patronage in Book XIX, chapter 27 of The Spirit of the Laws. Montesquieu primarily treats it as a species of bad corruption. However, he also sees some benefits to it. I then turn to Smith and I show that he echoes Hume’s analysis of corruption in an easily ignored passage in Wealth of Nations. I then show that for Smith one argument in favor of a kind of federal parliamentary union between Great Brittain and her American colonies lies in its ability to facilitate and make more efficient the system of patronage by the Crown. While Smith’s account of these matters is quite Humean, one can discern in Smith a distinct cost-benefit argument for the acceptance of the necessity of a system of patronage in the service of the peaceful expansion and entrenchment of the rule of law in his proposal for parliamentary union. (shrink)

Moorean arguments are a popular and powerful way to engage highly revisionary philosophical views, such as nihilism about motion, time, truth, consciousness, causation, and various kinds of skepticism (e.g., external world, other minds, inductive, global). They take, as a premise, a highly plausible first-order claim (e.g., cars move, I ate breakfast before lunch, it’s true that some fish have gills) and conclude from it the falsity of the highly revisionary philosophical thesis. Moorean arguments can be used against nihilists in ethics (...) (error theorists), too. Recently, error theorists have recognized Moorean arguments as a powerful challenge and have tried to meet it. They’ve argued that moral Moorean premises seem highly credible to us, but aren’t, by offering various debunking explanations. These explanations all appeal to higher-order evidence—evidence of error in our reasoning. I argue that drawing attention to higher-order evidence is a welcome contribution from error theorists, but that the higher-order evidence actually counts further against error theoretic arguments—including their debunking explanations—and further in favor of Moorean arguments and the commonsense views they support. Along the way I answer a few prominent objections to Moorean arguments: that they are objectionably question-begging, rely on categorizing some facts as “Moorean Facts”, and that reports of one’s credence in a proposition bears no interesting relation to that proposition’s credibility. (shrink)

In this chapter, I identify a distinctive use of ‘sublime’ in Adam Smith’s philosophy of science. I show that for Smith a scientific discipline and its theories can be sublime. I trace this idea back to Malebranche. I show that in Smith it is a way to convey something about the irrational nature of the natural order lurking behind’s science’s intellectual achievements. In section 1, I diagnose and distinguish three uses of ‘sublime’ in Smith. I situate two of these in (...) the early modern discussions of the sublime in the wake of Boileau's and William Smith’s translations of Longinus. 1 I argue that the third in which Smith treats intellectual disciplines as themselves sublime is relatively distinctive, although not wholly unique to Smith. In section 2, I put this notion in context and trace it, somewhat speculatively, back to the reception of Isaac Newton by Smith and Smith’s reading of Malebranche. In the third section I conclude with some reflections on the significance of this discussion for Smith’s conception of the nature of scientific rationality. (shrink)

Do university ethics classes influence students’ real-world moral choices? We aimed to conduct the first controlled study of the effects of ordinary philosophical ethics classes on real-world moral choices, using non-self-report, non-laboratory behavior as the dependent measure. We assigned 1332 students in four large philosophy classes to either an experimental group on the ethics of eating meat or a control group on the ethics of charitable giving. Students in each group read a philosophy article on their assigned topic and optionally (...) viewed a related video, then met with teaching assistants for 50-minute group discussion sections. They expressed their opinions about meat ethics and charitable giving in a follow-up questionnaire (1032 respondents after exclusions). We obtained 13,642 food purchase receipts from campus restaurants for 495 of the students, before and after the intervention. Purchase of meat products declined in the experimental group (52% of purchases of at least $4.99 contained meat before the intervention, compared to 45% after) but remained the same in the control group (52% both before and after). Ethical opinion also differed, with 43% of students in the experimental group agreeing that eating the meat of factory farmed animals is unethical compared to 29% in the control group. We also attempted to measure food choice using vouchers, but voucher redemption rates were low and no effect was statistically detectable. It remains unclear what aspect of instruction influenced behavior. (shrink)

A Bayesian mind is, at its core, a rational mind. Bayesianism is thus well-suited to predict and explain mental processes that best exemplify our ability to be rational. However, evidence from belief acquisition and change appears to show that we do not acquire and update information in a Bayesian way. Instead, the principles of belief acquisition and updating seem grounded in maintaining a psychological immune system rather than in approximating a Bayesian processor.

Logical rationalism asserts that we can acquire immediate, non-inferential justification for beliefs in basic logical principles. The intuitions that arise when we consider particular cases of validity can offer justification for our foundational logical beliefs about rules of inference. I motivate rationalism through an argument from the indispensability of intuitions. This argument shows that rationalism is the theory best equipped to solve the problem of background logic. This is the challenge of explaining how we gain justified beliefs in rules of (...) inference without using those rules in a viciously circular way to arrive at the beliefs. As rationalism is the best epistemology which solves this important challenge, it is our best account of logical knowledge. In addition, I argue that a second major motivation for logical rationalism arises from work on logical practice. Recently, it has been claimed that we should attend to the practices of logicians when selecting an epistemology of logic. I argue that these considerations from logical practice also favour the adoption of logical rationalism. (shrink)