This article reports the findings of AI4People, an Atomium—EISMD initiative designed to lay the foundations for a “Good AI Society”. We introduce the core opportunities and risks of AI for society; present a synthesis of five ethical principles that should undergird its development and adoption; and offer 20 concrete recommendations—to assess, to develop, to incentivise, and to support good AI—which in some cases may be undertaken directly by national or supranational policy makers, while in others may be led by other (...) stakeholders. If adopted, these recommendations would serve as a firm foundation for the establishment of a Good AI Society. (shrink)

Artificial Intelligence (AI) is already having a major impact on society. As a result, many organizations have launched a wide range of initiatives to establish ethical principles for the adoption of socially beneficial AI. Unfortunately, the sheer volume of proposed principles threatens to overwhelm and confuse. How might this problem of ‘principle proliferation’ be solved? In this paper, we report the results of a fine-grained analysis of several of the highest-profile sets of ethical principles for AI. We assess whether these (...) principles converge upon a set of agreed-upon principles, or diverge, with significant disagreement over what constitutes ‘ethical AI.’ Our analysis finds a high degree of overlap among the sets of principles we analyze. We then identify an overarching framework consisting of five core principles for ethical AI. Four of them are core principles commonly used in bioethics: beneficence, non-maleficence, autonomy, and justice. On the basis of our comparative analysis, we argue that a new principle is needed in addition: explicability, understood as incorporating both the epistemological sense of intelligibility (as an answer to the question ‘how does it work?’) and in the ethical sense of accountability (as an answer to the question: ‘who is responsible for the way it works?’). In the ensuing discussion, we note the limitations and assess the implications of this ethical framework for future efforts to create laws, rules, technical standards, and best practices for ethical AI in a wide range of contexts. (shrink)

In July 2017, China’s State Council released the country’s strategy for developing artificial intelligence, entitled ‘New Generation Artificial Intelligence Development Plan’. This strategy outlined China’s aims to become the world leader in AI by 2030, to monetise AI into a trillion-yuan industry, and to emerge as the driving force in defining ethical norms and standards for AI. Several reports have analysed specific aspects of China’s AI policies or have assessed the country’s technical capabilities. Instead, in this article, we focus on (...) the socio-political background and policy debates that are shaping China’s AI strategy. In particular, we analyse the main strategic areas in which China is investing in AI and the concurrent ethical debates that are delimiting its use. By focusing on the policy backdrop, we seek to provide a more comprehensive and critical understanding of China’s AI policy by bringing together debates and analyses of a wide array of policy documents. (shrink)

The idea of artificial intelligence for social good is gaining traction within information societies in general and the AI community in particular. It has the potential to tackle social problems through the development of AI-based solutions. Yet, to date, there is only limited understanding of what makes AI socially good in theory, what counts as AI4SG in practice, and how to reproduce its initial successes in terms of policies. This article addresses this gap by identifying seven ethical factors that are (...) essential for future AI4SG initiatives. The analysis is supported by 27 case examples of AI4SG projects. Some of these factors are almost entirely novel to AI, while the significance of other factors is heightened by the use of AI. From each of these factors, corresponding best practices are formulated which, subject to context and balance, may serve as preliminary guidelines to ensure that well-designed AI is more likely to serve the social good. (shrink)

Research on the ethics of algorithms has grown substantially over the past decade. Alongside the exponential development and application of machine learning algorithms, new ethical problems and solutions relating to their ubiquitous use in society have been proposed. This article builds on a review of the ethics of algorithms published in 2016, 2016). The goals are to contribute to the debate on the identification and analysis of the ethical implications of algorithms, to provide an updated analysis of epistemic and normative (...) concerns, and to offer actionable guidance for the governance of the design, development and deployment of algorithms. (shrink)

Research on the ethics of algorithms has grown substantially over the past decade. Alongside the exponential development and application of machine learning algorithms, new ethical problems and solutions relating to their ubiquitous use in society have been proposed. This article builds on a review of the ethics of algorithms published in 2016, 2016). The goals are to contribute to the debate on the identification and analysis of the ethical implications of algorithms, to provide an updated analysis of epistemic and normative (...) concerns, and to offer actionable guidance for the governance of the design, development and deployment of algorithms. (shrink)

Initiatives relying on artificial intelligence (AI) to deliver socially beneficial outcomes—AI for social good (AI4SG)—are on the rise. However, existing attempts to understand and foster AI4SG initiatives have so far been limited by the lack of normative analyses and a shortage of empirical evidence. In this Perspective, we address these limitations by providing a definition of AI4SG and by advocating the use of the United Nations’ Sustainable Development Goals (SDGs) as a benchmark for tracing the scope and spread of AI4SG. (...) We introduce a database of AI4SG projects gathered using this benchmark, and discuss several key insights, including the extent to which different SDGs are being addressed. This analysis makes possible the identification of pressing problems that, if left unaddressed, risk hampering the effectiveness of AI4SG initiatives. (shrink)

That AI will have a major impact on society is no longer in question. Current debate turns instead on how far this impact will be positive or negative, for whom, in which ways, in which places, and on what timescale. In order to frame these questions in a more substantive way, in this prolegomena we introduce what we consider the four core opportunities for society offered by the use of AI, four associated risks which could emerge from its overuse or (...) misuse, and the opportunity costs associated with its under use. We then offer a high-level view of the emerging advantages for organisations of taking an ethical approach to developing and deploying AI. Finally, we introduce a set of five principles which should guide the development and deployment of AI technologies. The development of laws, policies and best practices for seizing the opportunities and minimizing the risks posed by AI technologies would benefit from building on ethical frameworks such as the one offered here. (shrink)

In this article we analyse the role that artificial intelligence (AI) could play, and is playing, to combat global climate change. We identify two crucial opportunities that AI offers in this domain: it can help improve and expand current understanding of climate change and it contribute to combating the climate crisis effectively. However, the development of AI also raises two sets of problems when considering climate change: the possible exacerbation of social and ethical challenges already associated with AI, and the (...) contribution to climate change of the greenhouse gases emitted by training data and computation-intensive AI systems. We assess the carbon footprint of AI research, and the factors that influence AI’s greenhouse gas (GHG) emissions in this domain. We find that the carbon footprint of AI research may be significant and highlight the need for more evidence concerning the trade-off between the GHG emissions generated by AI research and the energy and resource efficiency gains that AI can offer. In light of our analysis, we argue that leveraging the opportunities offered by AI for global climate change whilst limiting its risks is a gambit which requires responsive, evidence-based and effective governance to become a winning strategy. We conclude by identifying the European Union as being especially well-placed to play a leading role in this policy response and provide 13 recommendations that are designed to identify and harness the opportunities of AI for combating climate change, while reducing its impact on the environment. (shrink)

In this article, we analyse the role that artificial intelligence (AI) could play, and is playing, to combat global climate change. We identify two crucial opportunities that AI offers in this domain: it can help improve and expand current understanding of climate change, and it can contribute to combatting the climate crisis effectively. However, the development of AI also raises two sets of problems when considering climate change: the possible exacerbation of social and ethical challenges already associated with AI, and (...) the contribution to climate change of the greenhouse gases emitted by training data and computation-intensive AI systems. We assess the carbon footprint of AI research, and the factors that influence AI’s greenhouse gas (GHG) emissions in this domain. We find that the carbon footprint of AI research may be significant and highlight the need for more evidence concerning the trade-off between the GHG emissions generated by AI research and the energy and resource efficiency gains that AI can offer. In light of our analysis, we argue that leveraging the opportunities offered by AI for global climate change whilst limiting its risks is a gambit which requires responsive, evidence-based, and effective governance to become a winning strategy. We conclude by identifying the European Union as being especially well-placed to play a leading role in this policy response and provide 13 recommendations that are designed to identify and harness the opportunities of AI for combatting climate change, while reducing its impact on the environment. (shrink)

Over the past few years, there has been a proliferation of artificial intelligence strategies, released by governments around the world, that seek to maximise the benefits of AI and minimise potential harms. This article provides a comparative analysis of the European Union and the United States’ AI strategies and considers the visions of a ‘Good AI Society’ that are forwarded in key policy documents and their opportunity costs, the extent to which the implementation of each vision is living up to (...) stated aims and the consequences that these differing visions of a ‘Good AI Society’ have for transatlantic cooperation. The article concludes by comparing the ethical desirability of each vision and identifies areas where the EU, and especially the US, need to improve in order to achieve ethical outcomes and deepen cooperation. (shrink)

Technologies to rapidly alert people when they have been in contact with someone carrying the coronavirus SARS-CoV-2 are part of a strategy to bring the pandemic under control. Currently, at least 47 contact-tracing apps are available globally. They are already in use in Australia, South Korea and Singapore, for instance. And many other governments are testing or considering them. Here we set out 16 questions to assess whether — and to what extent — a contact-tracing app is ethically justifiable.

In this article, we analyse the role that artificial intelligence (AI) could play, and is playing, to combat global climate change. We identify two crucial opportunities that AI offers in this domain: it can help improve and expand current understanding of climate change, and it can contribute to combatting the climate crisis effectively. However, the development of AI also raises two sets of problems when considering climate change: the possible exacerbation of social and ethical challenges already associated with AI, and (...) the contribution to climate change of the greenhouse gases emitted by training data and computation-intensive AI systems. We assess the carbon footprint of AI research, and the factors that influence AI’s greenhouse gas (GHG) emissions in this domain. We find that the carbon footprint of AI research may be significant and highlight the need for more evidence concerning the trade-off between the GHG emissions generated by AI research and the energy and resource efficiency gains that AI can offer. In light of our analysis, we argue that leveraging the opportunities offered by AI for global climate change whilst limiting its risks is a gambit which requires responsive, evidence-based, and effective governance to become a winning strategy. We conclude by identifying the European Union as being especially well-placed to play a leading role in this policy response and provide 13 recommendations that are designed to identify and harness the opportunities of AI for combatting climate change, while reducing its impact on the environment. (shrink)

The World Health Organisation declared COVID-19 a global pandemic on 11th March 2020, recognising that the underlying SARS-CoV-2 has caused the greatest global crisis since World War II. In this chapter, we present a framework to evaluate whether and to what extent the use of digital systems that track and/or trace potentially infected individuals is not only legal but also ethical.

This introduction sets out the aims and scope of the Special Issue and provides an overview of each of the research articles and commentaries that follow.

This annual edited volume presents an overview of cutting-edge research areas within digital ethics as defined by the Digital Ethics Lab of the University of Oxford. It identifies new challenges and opportunities of influence in setting the research agenda in the field. The 2020 edition of the yearbook presents research on the following topics: governing digital health, visualising governance, the digital afterlife, the possibility of an AI winter, the limits of design theory in philosophy, cyberwarfare, ethics of online behaviour change, (...) governance of AI, trust in AI, and Emotional Self-Awareness as a Digital Literacy. This book appeals to students, researchers and professionals in the field. (shrink)

The gig economy is a phenomenon that is rapidly expanding, redefining the nature of work and contributing to a significant change in how contemporary economies are organised. Its expansion is not unproblematic. This article provides a clear and systematic analysis of the main ethical challenges caused by the gig economy. Following a brief overview of the gig economy, its scope and scale, we map the key ethical problems that it gives rise to, as they are discussed in the relevant literature. (...) We map them onto three categories: the new organisation of work (what is done), the new nature of work (how it is done), and the new status of workers (who does it). We then evaluate a recent initiative from the EU that seeks to address the challenges of the gig economy. The 2019 report of the European High-Level Expert Group on the Impact of the Digital Transformation on EU Labour Markets is a positive step in the right direction. However, we argue that ethical concerns relating to algorithmic systems as mechanisms of control, and the discrimination, exclusion and disconnectedness faced by gig workers require further deliberation and policy response. A brief conclusion completes the analysis. The appendix presents the methodology underpinning our literature review. (shrink)

Healthcare systems across the globe are struggling with increasing costs and worsening outcomes. This presents those responsible for overseeing healthcare with a challenge. Increasingly, policymakers, politicians, clinical entrepreneurs and computer and data scientists argue that a key part of the solution will be ‘Artificial Intelligence’ (AI) – particularly Machine Learning (ML). This argument stems not from the belief that all healthcare needs will soon be taken care of by “robot doctors.” Instead, it is an argument that rests on the classic (...) counterfactual definition of AI as an umbrella term for a range of techniques that can be used to make machines complete tasks in a way that would be considered intelligent were they to be completed by a human. Automation of this nature could offer great opportunities for the improvement of healthcare services and ultimately patients’ health by significantly improving human clinical capabilities in diagnosis, drug discovery, epidemiology, personalised medicine, and operational efficiency. However, if these AI solutions are to be embedded in clinical practice, then at least three issues need to be considered: the technical possibilities and limitations; the ethical, regulatory and legal framework; and the governance framework. In this article, we report on the results of a systematic analysis designed to provide a clear overview of the second of these elements: the ethical, regulatory and legal framework. We find that ethical issues arise at six levels of abstraction (individual, interpersonal, group, institutional, sectoral, and societal) and can be categorised as epistemic, normative, or overarching. We conclude by stressing how important it is that the ethical challenges raised by implementing AI in healthcare settings are tackled proactively rather than reactively and map the key considerations for policymakers to each of the ethical concerns highlighted. (shrink)

The world’s current model for economic development is unsustainable. It encourages high levels of resource extraction, consumption, and waste that undermine positive environmental outcomes. Transitioning to a circular economy (CE) model of development has been proposed as a sustainable alternative. Artificial intelligence (AI) is a crucial enabler for CE. It can aid in designing robust and sustainable products, facilitate new circular business models, and support the broader infrastructures needed to scale circularity. However, to date, considerations of the ethical implications of (...) using AI to achieve a transition to CE have been limited. This article addresses this gap. It outlines how AI is and can be used to transition towards CE, analyzes the ethical risks associated with using AI for this purpose, and supports some recommendations to policymakers and industry on how to minimise these risks. (shrink)

Think of a number, any number, or properties like fragility and humanity. These and other abstract entities are radically different from concrete entities like electrons and elbows. While concrete entities are located in space and time, have causes and effects, and are known through empirical means, abstract entities like meanings and possibilities are remarkably different. They seem to be immutable and imperceptible and to exist "outside" of space and time. This book provides a comprehensive critical assessment of the problems raised (...) by abstract entities and the debates about existence, truth, and knowledge that surround them. It sets out the key issues that inform the metaphysical disagreement between platonists who accept abstract entities and nominalists who deny abstract entities exist. Beginning with the essentials of the platonist–nominalist debate, it explores the key arguments and issues informing the contemporary debate over abstract reality: arguments for platonism and their connections to semantics, science, and metaphysical explanation the abstract–concrete distinction and views about the nature of abstract reality epistemological puzzles surrounding our knowledge of mathematical entities and other abstract entities. arguments for nominalism premised upon concerns about paradox, parsimony, infinite regresses, underdetermination, and causal isolation nominalist options that seek to dispense with abstract entities. Including chapter summaries, annotated further reading, and a glossary, _Entities_ is essential reading for anyone seeking a clear and authoritative introduction to the problems raised by abstract entities. (shrink)

Despite its potential for radically reducing the harm inflicted on nonhuman animals in the pursuit of food, there are a number of objections grounded in animal ethics to the development of in vitro meat. In this paper, I defend the possibility against three such concerns. I suggest that worries about reinforcing ideas of flesh as food and worries about the use of nonhuman animals in the production of in vitro meat can be overcome through appropriate safeguards and a fuller understanding (...) of the interests that nonhuman animals actually possess. Worries about the technology reifying speciesist hierarchies of value are more troublesome, however. In response to this final challenge, I suggest that we should be open not just to the production of in vitro nonhuman flesh, but also in vitro human flesh. This leads to a consideration of the ethics of cannibalism. The paper ultimately defends the position that cannibalism simpliciter is not morally problematic, though a great many practices typically associated with it are. The consumption of in vitro human flesh, however, is able to avoid these problematic practices, and so should be considered permissible. I conclude that animal ethicists and vegans should be willing to cautiously embrace the production of in vitro flesh. (shrink)

Most materialist responses to the zombie argument against materialism take either a “type-A” or “type-B” approach: they either deny the conceivability of zombies or accept their conceivability while denying their possibility. However, a “type-Q” materialist approach, inspired by Quinean suspicions about a priority and modal entailment, rejects the sharp line between empirical and conceptual truths needed for the traditional responses. In this paper, I develop a type-Q response to the zombie argument, one stressing the theory-laden nature of our conceivability and (...) possibility intuitions. I argue that our first-person access to the conscious mind systematically misleads us into thinking that the distinctive qualities of conscious experience—qualia—are nonfunctional. Qualia, I contend, are functional, even though they do not seem to be. To support my claim, I introduce the “meditations” of Rene Descartes’ zombie twin. This establishes the plausibility of an appearance/reality distinction for consciousness and it undermines various anti-materialist objections based on privileged first-person access. I conclude that the best overall theory posits an appearance/reality distinction for qualia, and this, for the type-Q materialist, is decisive. (shrink)

Within contemporary science, it is common practice to compare data points to the average, i.e., to the statistical mean. Because this practice is so familiar, it might at first appear not to be the sort of thing that requires explanation. But recent research in cognitive science and in the history of science gives us reason to adopt the opposite perspective. Cognitive science research on the ways people ordinarily make sense of the world suggests that, instead of using a purely statistical (...) notion of the average, people tend to use a value-laden notion of the normal. Similarly, historical research on the scientific practices used in other time periods indicates that, prior to the nineteenth century, scientists tended to make use of a notion of the normal that was overtly value-laden. These findings give us reason to rethink certain familiar facts about scientific practice. In particular, they suggest that the fact that scientists so often make use of the statistical average should be seen as a highly surprising fact, the sort of thing that calls out for explanation. (shrink)

How do we listen to the earth? That is the central question posed in Geosonics: Bodies, Instruments, Interfaces. Through sound studies, media theory, and environmental media studies, Josh Dittrich studies explores who is considered "we" and what is the "earth," as well what counts as sound and the climate implications at play when mediating the environment. In an epoch of climate crisis, environment is no longer a neutral background, site or a simple "surrounding": environment is immanently implicated in the (...) chains of mediation that make up the material and imaginative infrastructure of our lives. (shrink)

Explanatory Optimism about the Hard Problem of Consciousness argues that despite the worries of explanatory pessimists, consciousness can be fully explained in “easy” scientific terms. The widespread intuition that consciousness poses a hard problem is plausibly based on how consciousness appears to us in first-person access. The book offers a debunking argument to undercut the justificatory link between the first-person appearances and our hard problem intuitions. -/- The key step in the debunking argument involves the development and defense of an (...) empirical model of first-person access: Automated Compression Theory (ACT). ACT holds that first-person access to consciousness is accomplished by automated accessing of compressed sensory information. Because of the distorting nature of this compressed access, it seems to subjects that consciousness possesses “exceptional” properties—properties leading to the hard problem—even though no such properties are present. If there are no exceptional properties to explain, then an explanation in easy terms can fully account for conscious experience. The book presents a range of empirical evidence for ACT and concludes that the burden of proof is now on the pessimists to show why we shouldn’t be optimistic about explaining consciousness. (shrink)

Qualitative consciousness is conscious experience marked by the presence of sensory qualities, like the experienced painfulness of having a piano dropped on your foot, or the consciousness of seeing the brilliant reds and oranges of a sunset. Over his career, philosopher David Rosenthal has defended an influential theoretical approach to explaining qualitative consciousness. This approach involves the development of two theories – the higher-order thought theory of mental state consciousness and the quality space theory of sensory quality. If the problem (...) of explaining qualitative consciousness is divided into two more manageable pieces, the door opens to a satisfying explanation of what is seen by some to be an intractable explanatory puzzle. This interdisciplinary collection develops, criticizes, and expands upon themes inspired by Rosenthal's work. The result is an exciting collection of new essays by philosophers and scientists, which will be of interest to all those engaged in consciousness studies. (shrink)

This paper offers a critique of the “democratic state of education” proposed by Amy Gutmann in her influential book Democratic Education. In the democratic state of education, educational authority is shared among the state, parents and educational professionals; and educational objectives are geared toward equipping future citizens to participate in what Gutmann calls “conscious social reproduction”—the collective shaping of the future of society through democratic deliberation. Although I agree with some of Gutmann’s broad recommendations for civic education, I have misgivings (...) about the centrality that she gives to conscious social reproduction in her theory of education. I argue that in focusing so intently on the facilitation of conscious social reproduction, Gutmann’s theory makes insufficient room for the basic interests of individual children, and in particular, their prospective interest in autonomy. Gutmann’s considered position on sex education policy—specifically, her willingness to allow local communities to deny their children access to sex education—exemplifies the shortcomings of her theory. Ultimately, her democratic state of education fails to acknowledge the fundamental moral importance of individual flourishing, and the contribution that education can and should make to it. (shrink)

One desideratum for contemporary theories of emotion both in philosophy and affective science is an explanation of the relation between emotions and objects that illicit them. According to one research tradition in emotion theory, the Evaluative Tradition, the explanation is simple: emotions just are evaluative judgments about their objects. Growing research in affective science supports this claim suggesting that emotions constitute (or contribute to) evaluative judgments such as moral judgments about right and wrong. By contrast, recent scholarship in two historical (...) emotion theories, Augustinian and Thomistic, emphasize their sharp distinction between cognitive judgments and affectivity or between reason and emotion. For these historical models, reason, not emotion, is responsible for moral judgment. Are the evaluative and historical models at irreconcilable odds? Should we discard old models that fail to satisfy intuitions about the intricate role of emotions in moral judgment? This paper compares these research programs and suggests a roadmap for collaboration. (shrink)

Meaning Making: 8 Values That Drive America's Newest Generations is our investigation into the values that young people, ages 13 to 25, practice and uphold. What motivates them in their common quest to discover, create, and express significant meaning in their lives? What are the organizations and groups they choose to engage with and be a part of? How do those organizations exhibit and express those values? The values young people articulated comprise the chapters of this book. They emerged from (...) surveys and interviews with young people, as well as other quantitative and qualitative research involving a range of resources, both scholarly and popular. As we collected our data early in 2020 through a nationally representative survey; looked at other data sources; and uncovered the practices, people, and organizations that were attracting intense commitment from young people; we made discoveries helpful to leaders trying to shape organizations, groups, institutions, and one-on-one relationships that better serve and care for young people today This is a rush request since publication is end of July...thank you in advance. (shrink)

Abstract:In this paper I explore the little-known first debate, in 1914–19, between John Dewey and Bertrand Russell over the problem of the external world. After outlining their respective arguments, I show how Dewey’s criticisms of Russell miss the mark. Although these thinkers largely speak past one another, I argue that Dewey’s theory of inference is not only crucial to this exchange but also reveals what is at stake in their disagreement. Unfortunately, Dewey himself never explicitly invoked his account of inference (...) during this short-lived and ultimately fruitless exchange with Russell. Had he done so, the crucial issue of their differing criteria of justification would have been raised and their exchange could have been more productive. (shrink)

In his Paris Reportatio John Duns Scotus challenges ordinary views of identity and distinction. I argue that Scotus affirms that there is more than one type of identity: some forms of identity are...

At the outset of the Republic, Polemarchus advances the bold thesis that “justice is the art which gives benefit to friends and injury to enemies”. He quickly rejects the hypothesis, and what follows is a long tradition of neglecting the ethics of enmity. The parallel issue of how friendship affects the moral sphere has, by contrast, been greatly illuminated by discussions both ancient and contemporary. This article connects this existing work to the less explored topic of the normative significance of (...) our negative relationships. I explain how negative partiality should be conceptualized through reference to the positive analogue, and argue that at least some forms of negative partiality are justified. I further explore the connection between positive and negative relationships by showing how both are justified by ongoing histories of encounter. However, I also argue that these relationships are in some important ways asymmetrical. (shrink)

Science frequently gives us multiple, compatible ways of solving the same problem or formulating the same theory. These compatible formulations change our understanding of the world, despite providing the same explanations. According to what I call "conceptualism," reformulations change our understanding by clarifying the epistemic structure of theories. I illustrate conceptualism by analyzing a typical example of symmetry-based reformulation in chemical physics. This case study poses a problem for "explanationism," the rival thesis that differences in understanding require ontic explanatory differences. (...) To defend conceptualism, I consider how prominent accounts of explanation might accommodate this case study. I argue that either they do not succeed, or they generate a skeptical challenge. (shrink)

We argue that Hamiltonian mechanics is more fundamental than Lagrangian mechanics. Our argument provides a non-metaphysical strategy for privileging one formulation of a theory over another: ceteris paribus, a more general formulation is more fundamental. We illustrate this criterion through a novel interpretation of classical mechanics, based on three physical conditions. Two of these conditions suffice for recovering Hamiltonian mechanics. A third condition is necessary for Lagrangian mechanics. Hence, Lagrangian systems are a proper subset of Hamiltonian systems. Finally, we provide (...) a geometric interpretation of the principle of stationary action and rebut arguments for privileging Lagrangian mechanics. (shrink)

In a series of papers, Donald Davidson :3–17, 1984, The philosophical grounds of rationality, 1986, Midwest Stud Philos 16:1–12, 1991) developed a powerful argument against the claim that linguistic conventions provide any explanatory purchase on an account of linguistic meaning and communication. This argument, as I shall develop it, turns on cases of what I call lexical innovation: cases in which a speaker uses a sentence containing a novel expression-meaning pair, but nevertheless successfully communicates her intended meaning to her audience. (...) I will argue that cases of lexical innovation motivate a dynamic conception of linguistic conventions according to which background linguistic conventions may be rapidly expanded to incorporate new word meanings or shifted to revise the meanings of words already in circulation. I argue that this dynamic account of conventions both resolves the problem raised by cases of lexical innovation and that it does so in a way that is preferable to those who—like Davidson—deny important explanatory roles for linguistic conventions. (shrink)

The idea of a single scientific method, shared across specialties and teachable to ten-year-olds, is just over a hundred years old. For centuries prior, science had meant a kind of knowledge, made from facts gathered through direct observation or deduced from first principles. But during the nineteenth century, science came to mean something else: a way of thinking. The Scientific Method tells the story of how this approach took hold in laboratories, the field, and eventually classrooms, where science was once (...) taught as a natural process. Henry M. Cowles reveals the intertwined histories of evolution and experiment, from Charles Darwin's theory of natural selection to John Dewey's vision for science education. Darwin portrayed nature as akin to a man of science, experimenting through evolution, while his followers turned his theory onto the mind itself. Psychologists reimagined the scientific method as a problem-solving adaptation, a basic feature of cognition that had helped humans prosper. This was how Dewey and other educators taught science at the turn of the twentieth century-but their organic account was not to last. Soon, the scientific method was reimagined as a means of controlling nature, not a product of it. By shedding its roots in evolutionary theory, the scientific method came to seem far less natural, but far more powerful. This book reveals the origin of a fundamental modern concept. Once seen as a natural adaptation, the method soon became a symbol of science's power over nature, a power that, until recently, has rarely been called into question. (shrink)

This chapter has three sections. In the first, I give a brief summary of what Foucault means by "power-knowledge." In the second, I show how this concept can be used to analyze the situations of disabled adults in relation to complex institutions of benefits and employment in the United States. In the third, I argue that disabled adults are often subject to several types of epistemic injustice given these operations of power, including subjection to structural epistemic injustice and forms of (...) epistemic labor. (shrink)

Contributors to the literature on gamesmanship typically assume that gamesmanship can be clearly distinguished from other legal strategies used in sports. In this article, we argue that this is a m...

The first time I saw 30 Rock, I was struck by how often it fails to be funny. This is not to say that 30 Rock is never funny—sometimes it is very funny indeed. But what stood out most to me was how strikingly not funny it often is. The show is, nevertheless, very entertaining. And it is curious that a sitcom—a show that is ostensibly designed to entertain through the use of humor—could entertain so successfully while being so unsuccessful (...) at making its audience laugh. This curiosity is the subject of this paper. My purpose is to offer a theory that explains three features of 30 Rock: first, how it sometimes achieves comedic effect; second, why its. (shrink)

Terrorism, international gangs, and other frequently mentioned national security threats are actually less dangerous than a new type of state-corporate crime that may be called national insecurity crime. This crime poses not only unprecedented victimization, but a massive ethical problem. Examples in the U.S. include the 1980s Savings and Loan (S&L) scandal, the late-1990s dot-com bubble, the 2003 U.S. invasion of Iraq, and the 2007–09 financial crisis. National insecurity crime threatens national security because of its geographic and social extensiveness, severity (...) of harm, dynamism, and unpredictability. It endangers the political, economic, social, and environmental security of most or all of the U.S. population. This endangerment includes increasing the risks of loss, suffering, and destruction on a large scale. This article offers a starting point for a sociological criminology of national insecurity crime. National insecurity crime involves large-scale cooperation that relies on often indirect or mediated interaction between perpetrating persons, groups, and organizations. It also involves widespread social harm for private gain, and yet, due to ideology and social construction, it tends to be hidden in plain sight. (shrink)

Our ordinary assertions are often imprecise, insofar as the way we represent things as being only approximates how things are in the actual world. The phenomenon of assertoric imprecision raises a challenge to standard accounts of both the norm of assertion and the connection between semantics and the objects of assertion. After clarifying these problems in detail, I develop a framework for resolving them. Specifically, I argue that the phenomenon of assertoric imprecision motivates a rejection of the widely held belief (...) that a semantic theory for a language associates a single semantic value with each of the simple and complex expressions of that language, relative to the contexts in which they occur. Instead, I propose that we adopt a framework I call semantic pluralism. (shrink)

Reformulating a scientific theory often leads to a significantly different way of understanding the world. Nevertheless, accounts of both theoretical equivalence and scientific understanding have neglected this important aspect of scientific theorizing. This essay provides a positive account of how reformulation changes our understanding. My account simultaneously addresses a serious challenge facing existing accounts of scientific understanding. These accounts have failed to characterize understanding in a way that goes beyond the epistemology of scientific explanation. By focusing on cases in which (...) we have differences in understanding without differences in explanation, I show that understanding does not reduce to explanation. (shrink)

Accounts of scientific explanation disagree about what’s required for a cause, law, or other fact to be a reason why an event occurs. In short, they disagree about the conditions for explanatory relevance. Nonetheless, most accounts presuppose that claims about explanatory relevance play a descriptive role in tracking reality. By rejecting the need for this descriptivist assumption, I develop an expressivist account of explanatory relevance and explanation: to judge that an answer is explanatory is to express an attitude ofbeing for (...) being satisfied by that answer. I show how expressivism vindicates ordinary scientific discourse about explanation, including claims about the objectivity and mind-independence of explanations. By avoiding commitment to ontic relevance relations, I rehabilitate an irrealist conception of explanation. (shrink)

This paper explores the significance of intelligent social behavior among non-human animals for philosophical theories of communication. Using the alarm call system of vervet monkeys as a case study, I argue that interpersonal communication (or what I call “minded communication”) can and does take place in the absence of the production and recognition of communicative intentions. More generally, I argue that evolutionary theory provides good reasons for maintaining that minded communication is both temporally and explanatorily prior to the use of (...) communicative intentions. After developing these negative points about the place of communicative intentions in detail, I provide a novel alternative account according to which minded communication is characterized in terms of patterns of action and response that function to coordinate the representational mental states of agents. I show that an account which centers on patterns of representational coordination of this sort is well suited to capture the theoretical roles associated with minded communication and that it does so in a way that provides a good fit with comparative facts about the presence of minded communication among non-human animals. (shrink)

Is the ability to speak a language an acquired skill? Leading proponents of the generative approach to human language—notably Chomsky (2000) and Pinker (2003)—have argued that the thesis that language capacities are skills is hopelessly confused and at odds with a range of empirical evidence, which suggests that human language capacities are grounded in a biologically inherited set of language instincts or a Universal Grammar (UG). In this paper, we argue that resistance to the claim that human language capacities are (...) skills has been fostered by naïve and implausible conceptions of the nature of skilled action. Correcting these misconceptions about the nature of skilled action breathes new life into the old idea that human language competences are particular kinds of skills and does so in a way that is fully consistent with appeals to the central importance of UG, broadly construed. More generally, we argue that by taking human language capacities to be skills, we capture what is right about the generative program while at the same time avoiding its most serious pitfalls. (shrink)