In information societies, operations, decisions and choices previously left to humans are increasingly delegated to algorithms, which may advise, if not decide, about how data should be interpreted and what actions should be taken as a result. More and more often, algorithms mediate social processes, business transactions, governmental decisions, and how we perceive, understand, and interact among ourselves and with the environment. Gaps between the design and operation of algorithms and our understanding of their ethical implications can have severe consequences (...) affecting individuals as well as groups and whole societies. This paper makes three contributions to clarify the ethical importance of algorithmic mediation. It provides a prescriptive map to organise the debate. It reviews the current discussion of ethical aspects of algorithms. And it assesses the available literature in order to identify areas requiring further work to develop the ethics of algorithms. (shrink)

Recent work on interpretability in machine learning and AI has focused on the building of simplified models that approximate the true criteria used to make decisions. These models are a useful pedagogical device for teaching trained professionals how to predict what decisions will be made by the complex system, and most importantly how the system might break. However, when considering any such model it’s important to remember Box’s maxim that "All models are wrong but some are useful." We focus on (...) the distinction between these models and explanations in philosophy and sociology. These models can be understood as a "do it yourself kit" for explanations, allowing a practitioner to directly answer "what if questions" or generate contrastive explanations without external assistance. Although a valuable ability, giving these models as explanations appears more difficult than necessary, and other forms of explanation may not have the same trade-offs. We contrast the different schools of thought on what makes an explanation, and suggest that machine learning might benefit from viewing the problem more broadly. (shrink)

The capacity to collect and analyse data is growing exponentially. Referred to as ‘Big Data’, this scientific, social and technological trend has helped create destabilising amounts of information, which can challenge accepted social and ethical norms. Big Data remains a fuzzy idea, emerging across social, scientific, and business contexts sometimes seemingly related only by the gigantic size of the datasets being considered. As is often the case with the cutting edge of scientific and technological progress, understanding of the ethical implications (...) of Big Data lags behind. In order to bridge such a gap, this article systematically and comprehensively analyses academic literature concerning the ethical implications of Big Data, providing a watershed for future ethical investigations and regulations. Particular attention is paid to biomedical Big Data due to the inherent sensitivity of medical information. By means of a meta-analysis of the literature, a thematic narrative is provided to guide ethicists, data scientists, regulators and other stakeholders through what is already known or hypothesised about the ethical risks of this emerging and innovative phenomenon. Five key areas of concern are identified: informed consent, privacy, ownership, epistemology and objectivity, and ‘Big Data Divides’ created between those who have or lack the necessary resources to analyse increasingly large datasets. Critical gaps in the treatment of these themes are identified with suggestions for future research. Six additional areas of concern are then suggested which, although related have not yet attracted extensive debate in the existing literature. It is argued that they will require much closer scrutiny in the immediate future: the dangers of ignoring group-level ethical harms; the importance of epistemology in assessing the ethics of Big Data; the changing nature of fiduciary relationships that become increasingly data saturated; the need to distinguish between ‘academic’ and ‘commercial’ Big Data practices in terms of potential harm to data subjects; future problems with ownership of intellectual property generated from analysis of aggregated datasets; and the difficulty of providing meaningful access rights to individual data subjects that lack necessary resources. Considered together, these eleven themes provide a thorough critical framework to guide ethical assessment and governance of emerging Big Data practices. (shrink)

In October 2016, the White House, the European Parliament, and the UK House of Commons each issued a report outlining their visions on how to prepare society for the widespread use of artificial intelligence. In this article, we provide a comparative assessment of these three reports in order to facilitate the design of policies favourable to the development of a ‘good AI society’. To do so, we examine how each report addresses the following three topics: the development of a ‘good (...) AI society’; the role and responsibility of the government, the private sector, and the research community in pursuing such a development; and where the recommendations to support such a development may be in need of improvement. Our analysis concludes that the reports address adequately various ethical, social, and economic topics, but come short of providing an overarching political vision and long-term strategy for the development of a ‘good AI society’. In order to contribute to fill this gap, in the conclusion we suggest a two-pronged approach. (shrink)

Personal Health Monitoring (PHM) uses electronic devices which monitor and record health-related data outside a hospital, usually within the home. This paper examines the ethical issues raised by PHM. Eight themes describing the ethical implications of PHM are identified through a review of 68 academic articles concerning PHM. The identified themes include privacy, autonomy, obtrusiveness and visibility, stigma and identity, medicalisation, social isolation, delivery of care, and safety and technological need. The issues around each of these are discussed. The system (...) / lifeworld perspective of Habermas is applied to develop an understanding of the role of PHMs as mediators of communication between the institutional and the domestic environment. Furthermore, links are established between the ethical issues to demonstrate that the ethics of PHM involves a complex network of ethical interactions. The paper extends the discussion of the critical effect PHMs have on the patient’s identity and concludes that a holistic understanding of the ethical issues surrounding PHMs will help both researchers and practitioners in developing effective PHM implementations. (shrink)

The internet of things is increasingly spreading into the domain of medical and social care. Internet-enabled devices for monitoring and managing the health and well-being of users outside of traditional medical institutions have rapidly become common tools to support healthcare. Health-related internet of things (H-IoT) technologies increasingly play a key role in health management, for purposes including disease prevention, real-time tele-monitoring of patient’s functions, testing of treatments, fitness and well-being monitoring, medication dispensation, and health research data collection. H-IoT promises many (...) benefits for health and healthcare. However, it also raises a host of ethical problems stemming from the inherent risks of Internet enabled devices, the sensitivity of health-related data, and their impact on the delivery of healthcare. This paper maps the main ethical problems that have been identified by the relevant literature and identifies key themes in the on-going debate on ethical problems concerning H-IoT. (shrink)

Since approval of the EU General Data Protection Regulation (GDPR) in 2016, it has been widely and repeatedly claimed that the GDPR will legally mandate a ‘right to explanation’ of all decisions made by automated or artificially intelligent algorithmic systems. This right to explanation is viewed as an ideal mechanism to enhance the accountability and transparency of automated decision-making. However, there are several reasons to doubt both the legal existence and the feasibility of such a right. In contrast to the (...) right to explanation of specific automated decisions claimed elsewhere, the GDPR only mandates that data subjects receive meaningful, but properly limited, information (Articles 13-15) about the logic involved, as well as the significance and the envisaged consequences of automated decision-making systems, what we term a ‘right to be informed’. Further, the ambiguity and limited scope of the ‘right not to be subject to automated decision-making’ contained in Article 22 (from which the alleged ‘right to explanation’ stems) raises questions over the protection actually afforded to data subjects. These problems show that the GDPR lacks precise language as well as explicit and well-defined rights and safeguards against automated decision-making, and therefore runs the risk of being toothless. We propose a number of legislative and policy steps that, if taken, may improve the transparency and accountability of automated decision-making when the GDPR comes into force in 2018. (shrink)

Mature information societies are characterised by mass production of data that provide insight into human behaviour. Analytics has arisen as a practice to make sense of the data trails generated through interactions with networked devices, platforms and organisations. Persistent knowledge describing the behaviours and characteristics of people can be constructed over time, linking individuals into groups or classes of interest to the platform. Analytics allows for a new type of algorithmically assembled group to be formed that does not necessarily align (...) with classes or attributes already protected by privacy and anti-discrimination law or addressed in fairness- and discrimination-aware analytics. Individuals are linked according to offline identifiers and shared behavioural identity tokens, allowing for predictions and decisions to be taken at a group rather than individual level. This article examines the ethical significance of such ad hoc groups in analytics and argues that the privacy interests of algorithmically assembled groups in inviolate personality must be recognised alongside individual privacy rights. Algorithmically grouped individuals have a collective interest in the creation of information about the group, and actions taken on its behalf. Group privacy is proposed as a third interest to balance alongside individual privacy and social, commercial and epistemic benefits when assessing the ethical acceptability of analytics platforms. (shrink)

To create fair and accountable AI and robotics, we need precise regulation and better methods to certify, explain, and audit inscrutable systems.

The conjunction of wireless computing, ubiquitous Internet access, and the miniaturisation of sensors have opened the door for technological applications that can monitor health and well-being outside of formal healthcare systems. The health-related Internet of Things (H-IoT) increasingly plays a key role in health management by providing real-time tele-monitoring of patients, testing of treatments, actuation of medical devices, and fitness and well-being monitoring. Given its numerous applications and proposed benefits, adoption by medical and social care institutions and consumers may be (...) rapid. However, a host of ethical concerns are also raised that must be addressed. The inherent sensitivity of health-related data being generated and latent risks of Internet-enabled devices pose serious challenges. Users, already in a vulnerable position as patients, face a seemingly impossible task to retain control over their data due to the scale, scope and complexity of systems that create, aggregate, and analyse personal health data. In response, the H-IoT must be designed to be technologically robust and scientifically reliable, while also remaining ethically responsible, trustworthy, and respectful of user rights and interests. To assist developers of the H-IoT, this paper describes nine principles and nine guidelines for ethical design of H-IoT devices and data protocols. (shrink)

Empirical research into the ethics of emerging technologies, often involving foresight studies, technology assessment or application of the precautionary principle, raises significant epistemological challenges by failing to explain the relative epistemic status of contentious normative claims about future states. This weakness means that it is unclear why the conclusions reached by these approaches should be considered valid, for example in anticipatory ethical assessment or governance of emerging technologies. This paper explains and responds to this problem by proposing an account of (...) how the epistemic status of uncertain normative claims can be established in ethical and political discourses based on Jürgen Habermas’ discourse ethics. To better understand the nature of the problem, the relationship between norms, facts and the future is explored in light of potential meta-ethical fallacies faced in the field of empirical ethics. Weaknesses of current approaches to anticipatory ethical assessment and governance are then explored, including the Precautionary Principle and Technology Assessment. We argue that the epistemic status of uncertain normative claims can be understood within Habermas’ approach to political discourse, which requires ‘translation’ of uncertain claims to be comprehensible to other stakeholders in discourse. Translation thus provides a way to allow for uncertain normative claims to be considered alongside other types of validity claims in discourse. The paper contributes a conceptual account of the epistemic status of uncertain normative claims in discourse and begins to develop a ‘methodology of translation’ which can be further developed for approaches to research and ethical assessment supporting anticipatory evidence-based policy, governance and system design. (shrink)

This paper poses the question of whether people have a duty to participate in digital epidemiology. While an implied duty to participate has been argued for in relation to biomedical research in general, digital epidemiology involves processing of non-medical, granular and proprietary data types that pose different risks to participants. We first describe traditional justifications for epidemiology that imply a duty to participate for the general public, which take account of the immediacy and plausibility of threats, and the identifiability of (...) data. We then consider how these justifications translate to digital epidemiology, understood as an evolution of traditional epidemiology that includes personal and proprietary digital data alongside formal medical datasets. We consider the risks imposed by re-purposing such data for digital epidemiology and propose eight justificatory conditions that should be met in justifying a duty to participate for specific digital epidemiological studies. The conditions are then applied to three hypothetical cases involving usage of social media data for epidemiological purposes. We conclude with a list of questions to be considered in public negotiations of digital epidemiology, including the application of a duty to participate to third-party data controllers, and the important distinction between moral and legal obligations to participate in research. (shrink)

In ‘Represent me: please! Towards an ethics of digital twins in medicine’,1 Braun analyses the potential for simulations of human organs and bodies, or ‘digital twins,’ to faithfully a person. Drawing from several French philosophers, he introduces ‘first conditions for digital twins to take on an ethically justifiable form of representation’.1 The analysis predominantly focuses on challenges that arise in terms of representation, embodiment, control by the patients after which the twin is modelled. Many challenges are posited on the existence (...) of digital twins as autonomous technologies capable of acting on behalf of the patient. One may be reasonably sceptical about the potential to achieve ‘digital twins’ in the near future; the author, to his credit, acknowledges this fact in the section ‘Simulating a precise efficacy’ while still providing a faithful overview of a nascent field of development. Given the state of development described in the paper, the risk of autonomous digital twins in the near future seems remote. There are two clear ethical risks of digital twin which, to my reading, deserve more attention than they receive in Braun’s analysis. Let us refer to these as the ‘near-term’ challenges of digital twins, in the sense that their significance does not turn on the degree of agency or embodiment of digital twins, but rather their mere existence and potential …. (shrink)

In the digital age individuals face key choices about whether and how to share intimate details of their lives, “images of the body, biological data in general and diagnostic information” (Pyrrho,...

Firms are increasingly personalising their offers and services, leading to an ever finer-grained segmentation of consumers online. Targeted online advertising and online price discrimination are salient examples of this development. While personalisation's overall effects on consumer welfare are expectably ambiguous, it can lead to concentration in the distribution of advertising and commercial offers. Constellations are possible in which a market is generally open to competition, but the targeted consumer is only made aware of one possible seller. For the consumer, such (...) a market could effectively resemble a monopoly. We call such extreme cases ‘targeting pockets’. Competition-law metrics such as the Herfindahl–Hirschman Index and traditional means of public oversight of adverts would not detect this concentration. We, therefore, suggest a novel metric, the Concentration-after-Personalisation Index (CAPI). The CAPI treats every consumer as a separate ‘market’, computes a measure of concentration for personalised adverts and offers for each individual consumer separately, and then averages the result to measure the exposure experienced by an average consumer. We demonstrate how the CAPI can serve as a monitoring tool for regulators and auditors and thus help to enforce existing consumer law as well as proposed new regulations such as the European Union's Digital Services Act and its Artificial Intelligence Act. We further show how adding noise via randomly distributed non-personalised adverts can dilute the potential harm of overly concentrated personalisation. We demonstrate how the CAPI can identify the optimal degree of added noise, balancing the protection of consumer choice with the economic interests of advertisers. (shrink)

Progress in machine learning and artificial intelligence has spurred the widespread adoption of automated decision systems (ADS). An extensive literature explores what conditions must be met for these systems' decisions to be fair. However, questions of legitimacy -- why those in control of ADS are entitled to make such decisions -- have received comparatively little attention. This paper shows that when such questions are raised theorists often incorrectly conflate legitimacy with either public acceptance or other substantive values such as fairness, (...) accuracy, expertise or efficiency. In search of better theories, we conduct a critical analysis of the philosophical literature on the legitimacy of the state, focusing on consent, public reason, and democratic authorisation. This analysis reveals that the prevailing understanding of legitimacy in analytical political philosophy is also ill-suited to the task of establishing whether and when ADS are legitimate. The paper thus clarifies expectations for theories of ADS legitimacy and charts a path for a future research programme on the topic. (shrink)

This book presents cutting edge research on the new ethical challenges posed by biomedical Big Data technologies and practices. 'Biomedical Big Data' refers to the analysis of aggregated, very large datasets to improve medical knowledge and clinical care. The book describes the ethical problems posed by aggregation of biomedical datasets and re-use/re-purposing of data, in areas such as privacy, consent, professionalism, power relationships, and ethical governance of Big Data platforms. Approaches and methods are discussed that can be used to address (...) these problems to achieve the appropriate balance between the social goods of biomedical Big Data research and the safety and privacy of individuals. Seventeen original contributions analyse the ethical, social and related policy implications of the analysis and curation of biomedical Big Data, written by leading experts in the areas of biomedical research, medical and technology ethics, privacy, governance and data protection. The book advances our understanding of the ethical conundrums posed by biomedical Big Data, and shows how practitioners and policy-makers can address these issues going forward. (shrink)

Online targeting isolates individual consumers, causing what we call epistemic fragmentation. This phenomenon amplifies the harms of advertising and inflicts structural damage to the public forum. The two natural strategies to tackle the problem of regulating online targeted advertising, increasing consumer awareness and extending proactive monitoring, fail because even sophisticated individual consumers are vulnerable in isolation, and the contextual knowledge needed for effective proactive monitoring remains largely inaccessible to platforms and external regulators. The limitations of both consumer awareness and of (...) proactive monitoring strategies can be attributed to their failure to address epistemic fragmentation. We call attention to a third possibility that we call a civic model of governance for online targeted advertising, which overcomes this problem, and describe four possible pathways to implement this model. (shrink)

Artificial intelligence (AI) is increasingly relied upon by clinicians for making diagnostic and treatment decisions, playing an important role in imaging, diagnosis, risk analysis, lifestyle monitoring, and health information management. While research has identified biases in healthcare AI systems and proposed technical solutions to address these, we argue that effective solutions require human engagement. Furthermore, there is a lack of research on how to motivate the adoption of these solutions and promote investment in designing AI systems that align with values (...) such as transparency and fairness from the outset. Drawing on insights from psychological theories, we assert the need to understand the values that underlie decisions made by individuals involved in creating and deploying AI systems. We describe how this understanding can be leveraged to increase engagement with de-biasing and fairness-enhancing practices within the AI healthcare industry, ultimately leading to sustained behavioral change via autonomy-supportive communication strategies rooted in motivational and social psychology theories. In developing these pathways to engagement, we consider the norms and needs that govern the AI healthcare domain, and we evaluate incentives for maintaining the status quo against economic, legal, and social incentives for behavior change in line with transparency and fairness values. (shrink)

The availability of diverse sources of data related to health and illness from various types of modern communication technology presents the possibility of augmenting medical knowledge, clinical care, and the patient experience. New forms of data collection and analysis will undoubtedly transform epidemiology, public health, and clinical practice, but what ethical considerations come in to play? With a view to analysing the ethical and regulatory dimensions of burgeoning forms of biomedical big data, Brent Daniel Mittelstadt and Luciano Floridi (...) have brought together thirty scholars in an edited volume that forms part of Springer’s Law, Governance and Technology book series in a collection titled The Ethics of Biomedical Big Data. With eighteen chapters partitioned into six carefully devised sections, this volume engages with core theoretical, ethical, and regulatory challenges posed by biomedical big data. (shrink)

The availability of diverse sources of data related to health and illness from various types of modern communication technology presents the possibility of augmenting medical knowledge, clinical care, and the patient experience. New forms of data collection and analysis will undoubtedly transform epidemiology, public health, and clinical practice, but what ethical considerations come in to play? With a view to analysing the ethical and regulatory dimensions of burgeoning forms of biomedical big data, Brent Daniel Mittelstadt and Luciano Floridi (...) have brought together thirty scholars in an edited volume that forms part of Springer’s Law, Governance and Technology book series in a collection titled The Ethics of Biomedical Big Data. With eighteen chapters partitioned into six carefully devised sections, this volume engages with core theoretical, ethical, and regulatory challenges posed by biomedical big data. (shrink)

The work reported in this monograph was begun in the winter of 1967 in a graduate seminar at Berkeley. Many of the basic data were gathered by members of the seminar and the theoretical framework presented here was initially developed in the context of the seminar discussions. Much has been discovered since1969, the date of original publication, regarding the psychophysical and neurophysical determinants of universal, cross-linguistic constraints on the shape of basic color lexicons, and something, albeit less, can now also (...) be said with some confidence regarding the constraining effects of these language-independent processes of color perception and conceptualization on the direction of evolution of basic color term lexicons. (shrink)

Epitomised by tedium and existential vacuity, ennui insidiously permeates the psyche of healthcare professionals, often eluding detection. Its etiological roots extend beyond its salient exploration in French literature, harking back to the early Christian treatises on acedia or spiritual desuetude.1 Throughout the centuries, ennui has undergone a substantive evolution, mirroring the vicissitudes in cultural cognition and existential sentiment. Spanning from the discourse in medieval monasticism to cogitations during the Renaissance and Enlightenment epochs, ennui has metamorphosed into a pivotal motif across (...) the literary, philosophical and theological spectra.2 This intricate concept, embodying a profound and variegated historical lineage, has been meticulously dissected and recontextualised by a cadre of preeminent thinkers and literary connoisseurs. In the contemporary medical ethics landscape, ennui emerges from labyrinthine historical antecedents, manifesting as profound existential drift among healthcare professionals. This state, marked by discord between self and purposive existence, leads to disengagement and disillusionment, challenging practitioners’ resilience and ethical decision-making capacities. Ennui ignites introspection but insidiously undermines their engagement and fervour, casting a shadow over professional zeal and mental fortitude. In their reflections, existential philosophers like Søren Kierkegaard and Albert Camus, diverging from Pascal’s theological exegesis, explored quintessential human experience and essence leitmotifs. Their analyses of despair and the absurd show parallels with ethical dilemmas and complexities in medical practice. …. (shrink)

Inventions of Teaching: A Genealogy is a powerful examination of current metaphors for and synonyms of teaching. It offers an account of the varied and conflicting influences and conceptual commitments that have contributed to contemporary vocabularies--and that are in some ways maintained by those vocabularies, in spite of inconsistencies and incompatibilities among popular terms. The concern that frames the book is how speakers of English invented (in the original sense of the word, "came upon") our current vocabularies for teaching. Conceptually, (...) this book is unique in the educational literature. As a whole, it presents an overview of the major underlying philosophical and ideological concepts and traditions related to knowledge, learning, and teaching in the Western world, concisely introducing readers to the central historical and contemporary discourses that shape current discussions and beliefs in the field. Because the organization of historical, philosophical, theoretical, and etymological information is around key conceptual divergences in Western thought rather than any sort of chronology, this text is not a linear history, but several histories--or, more precisely, it is a genealogy. Specifically, it is developed around breaks in opinion that gave or are giving rise to diverse interpretations of knowledge, learning, and teaching--highlighting historical moments in which vibrant new figurative understandings of teaching emerged and moments at which they froze into literalness. The book is composed of two sorts of chapters, "branching" and "teaching." Branching chapters include an opening treatment of the break in opinion, separate discussions of each branch, and a summary of the common assumptions and shared histories of the two branches. Teaching chapters offer brief etymological histories and some of the practical implications of the terms for teaching that were coined, co-opted, or redefined within the various traditions. Inventions of Teaching: A Genealogy is an essential text for senior undergraduate and graduate courses in curriculum studies and foundations of teaching and is highly relevant as well for students, faculty, and researchers across the field of education. (shrink)

For much of the past two centuries, religion has been understood as a universal phenomenon, a part of the “natural” human experience that is essentially the same across cultures and throughout history. Individual religions may vary through time and geographically, but there is an element, religion, that is to be found in all cultures during all time periods. Taking apart this assumption, Brent Nongbri shows that the idea of religion as a sphere of life distinct from politics, economics, or (...) science is a recent development in European history—a development that has been projected outward in space and backward in time with the result that religion now appears to be a natural and necessary part of our world. Examining a wide array of ancient writings, Nongbri demonstrates that in antiquity, there was no conceptual arena that could be designated as “religious” as opposed to “secular.” Surveying representative episodes from a two-thousand-year period, while constantly attending to the concrete social, political, and colonial contexts that shaped relevant works of philosophers, legal theorists, missionaries, and others, Nongbri offers a concise and readable account of the emergence of the concept of religion. (shrink)

For much of the past two centuries, religion has been understood as a universal phenomenon, a part of the “natural” human experience that is essentially the same across cultures and throughout history. Individual religions may vary through time and geographically, but there is an element, religion, that is to be found in all cultures during all time periods. Taking apart this assumption, Brent Nongbri shows that the idea of religion as a sphere of life distinct from politics, economics, or (...) science is a recent development in European history—a development that has been projected outward in space and backward in time with the result that religion now appears to be a natural and necessary part of our world. Examining a wide array of ancient writings, Nongbri demonstrates that in antiquity, there was no conceptual arena that could be designated as “religious” as opposed to “secular.” Surveying representative episodes from a two-thousand-year period, while constantly attending to the concrete social, political, and colonial contexts that shaped relevant works of philosophers, legal theorists, missionaries, and others, Nongbri offers a concise and readable account of the emergence of the concept of religion. (shrink)

Using clear language and numerous examples, each chapter of this guide analyses an individual plateau from Deleuze and Guattari's A Thousand Plateaus, interpreting the work for students and scholars.

Two studies tested the relationship between three facets of personality—conscientiousness, agreeableness, and openness to experience—as well as moral identity, on individuals’ ethical ideology. Study 1 showed that moral personality and the centralityof moral identity to the self were associated with a more principled (versus expedient) ethical ideology in a sample of female speech therapists. Study 2 replicated these findings in a sample of male and female college students, and showed that ideology mediated therelationship between personality, moral identity, and two organizationally (...) relevant outcomes: organizational citizenship behavior and the propensity to morally disengage. Implications for business ethics are discussed. (shrink)

Two studies tested the relationship between three facets of personality—conscientiousness, agreeableness, and openness to experience—as well as moral identity, on individuals’ ethical ideology. Study 1 showed that moral personality and the centralityof moral identity to the self were associated with a more principled (versus expedient) ethical ideology in a sample of female speech therapists. Study 2 replicated these findings in a sample of male and female college students, and showed that ideology mediated therelationship between personality, moral identity, and two organizationally (...) relevant outcomes: organizational citizenship behavior and the propensity to morally disengage. Implications for business ethics are discussed. (shrink)

Income inequality in the US has now reached levels not seen since the 1920s. Management, as a field of scholarly inquiry, has the potential to contribute in significant ways to our understanding of recent inequality trends. We review and assess recent research, both in the management literature and in other fields. We then delineate a conceptual framework that highlights the mechanisms through which business practice may be linked to income inequality. We then outline four general areas in which management scholars (...) are uniquely positioned to contribute to ongoing research: data and description, organizational dynamics, collective action, and value flows and tradeoffs. To stimulate future research, we highlight a number of relevant research questions and link these questions to existing management research streams that could be leveraged to address them. (shrink)

Charles Sanders Peirce was born in September 1839 and died five months before the guns of August 1914. He is perhaps the most important mind the United States has ever produced. He made significant contributions throughout his life as a mathematician, astronomer, chemist, geodesist, surveyor, cartographer, metrologist, engineer, and inventor. He was a psychologist, a philologist, a lexicographer, a historian of science, a lifelong student of medicine, and, above all, a philosopher, whose special fields were logic and semiotics. He is (...) widely credited with being the founder of pragmatism. In terms of his importance as a philosopher and a scientist, he has been compared to Plato and Aristotle. He himself intended "to make a philosophy like that of Aristotle." Peirce was also a tormented and in many ways tragic figure. He suffered throughout his life from various ailments, including a painful facial neuralgia, and had wide swings of mood which frequently left him depressed to the state of inertia, and other times found him explosively violent. Despite his consistent belief that ideas could find meaning only if they "worked" in the world, he himself found it almost impossible to make satisfactory economic and social arrangements for himself. This brilliant scientist, this great philosopher, this astounding polymath was never able, throughout his long life, to find an academic post that would allow him to pursue his major interest, the study of logic, and thus also fulfill his destiny as America's greatest philosopher. Much of his work remained unpublished in his own time, and is only now finding publication in a coherent, chronologically organized edition. Even more astounding is that,despite many monographic studies, there has been no biography until now, almost eighty years after his death. Brent has studied the Peirce papers in detail and enriches his account with numerous quotations from letters by Peirce and by his friends. This is a fascinating account of a p. (shrink)

This special issue on what some regard as a crisis of replicability in cognitive science (i.e. the observation that a worryingly large proportion of experimental results across a number of areas cannot be reliably replicated) is informed by three recent developments. -/- First, philosophers of mind and cognitive science rely increasingly on empirical research, mainly in the psychological sciences, to back up their claims. This trend has been noticeable since the 1960s (see Knobe, 2015). This development has allowed philosophers to (...) draw on a wider range of relevant resources, but it also makes them vulnerable to relying on claims that may not survive further scrutiny. If we have reasons to believe that a large proportion of findings in the psychological sciences cannot be reliably replicated, this would be a problem for philosophers who use such findings in their work. Second, philosophers are increasingly designing and carrying out their own experiments to back up claims, or to test claims earlier made from the armchair, for example, on the perceived permissibility of diverting trolleys or on the nature of free will. This growing field of experimental philosophy has diversified the intellectual field in philosophy, but may also be vulnerable to issues of replicability that philosophers did not face before. -/- Third, the recent evidence of apparently widespread non-replicability in the social sciences (and other fields) has forced philosophers of science to grapple with long standing questions from their field from a new perspective. To what extent does replicability matter for theory construction? How do the notions of replicability and scientific progress interact? How can normative insights from philosophy of science be used in order to improve scientific practice? -/- It is with these three developments in mind—the increasing importance of empirically-informed philosophy, of experimental philosophy, and of philosophy of science around replicability—that this special issue has been conceived. (shrink)

The underlying structures that are common to the world's languages bear an intriguing connection with early emerging forms of “core knowledge” (Spelke & Kinzler, 2007), which are frequently studied by infant researchers. In particular, grammatical systems often incorporate distinctions (e.g., the mass/count distinction) that reflect those made in core knowledge (e.g., the non-verbal distinction between an object and a substance). Here, I argue that this connection occurs because non-verbal core knowledge systematically biases processes of language evolution. This account potentially explains (...) a wide range of cross-linguistic grammatical phenomena that currently lack an adequate explanation. Second, I suggest that developmental researchers and cognitive scientists interested in (non-verbal) knowledge representation can exploit this connection to language by using observations about cross-linguistic grammatical tendencies to inspire hypotheses about core knowledge. (shrink)

The underlying structures that are common to the world's languages bear an intriguing connection with early emerging forms of “core knowledge”, which are frequently studied by infant researchers. In particular, grammatical systems often incorporate distinctions that reflect those made in core knowledge. Here, I argue that this connection occurs because non-verbal core knowledge systematically biases processes of language evolution. This account potentially explains a wide range of cross-linguistic grammatical phenomena that currently lack an adequate explanation. Second, I suggest that developmental (...) researchers and cognitive scientists interested in knowledge representation can exploit this connection to language by using observations about cross-linguistic grammatical tendencies to inspire hypotheses about core knowledge. (shrink)

Ethicists are typically willing to grant that thick terms (e.g. ‘courageous’ and ‘murder’) are somehow associated with evaluations. But they tend to disagree about what exactly this relationship is. Does a thick term’s evaluation come by way of its semantic content? Or is the evaluation pragmatically associated with the thick term (e.g. via conversational implicature)? In this paper, I argue that thick terms are semantically associated with evaluations. In particular, I argue that many thick concepts (if not all) conceptually entail (...) evaluative contents. The Semantic View has a number of outspoken critics, but I shall limit discussion to the most recent--Pekka Väyrynen--who believes that objectionable thick concepts present a problem for the Semantic View. After advancing my positive argument in favor of the Semantic View (section II), I argue that Väyrynen’s attack is unsuccessful (section III). One reason ethicists cite for not focusing on thick concepts is that such concepts are supposedly not semantically evaluative whereas traditional thin concepts (e.g. good and wrong) are. But if my view is correct, then this reason must be rejected. (shrink)

What makes a consensus among scientists credible and convincing? This paper introduces the notion of a "hard-won" consensus and uses examples from recent debates over climate change science to show that this heuristic standard for evaluating the quality of a consensus is widely shared. The extent to which a consensus is "hard won" can be understood to depend on the personal qualities of the participating experts; the article demonstrates the continuing utility of the norms of modern science introduced by Robert (...) K. Merton by showing that individuals on both sides of the climate science debate rely intuitively on Mertonian ideas—interpreted in terms of character—to frame their arguments. (shrink)

We study large cardinal properties associated with Ramseyness in which homogeneous sets are demanded to satisfy various transfinite degrees of indescribability. Sharpe and Welch [25], and independently Bagaria [1], extended the notion of $\Pi ^1_n$ -indescribability where $n<\omega $ to that of $\Pi ^1_\xi $ -indescribability where $\xi \geq \omega $. By iterating Feng’s Ramsey operator [12] on the various $\Pi ^1_\xi $ -indescribability ideals, we obtain new large cardinal hierarchies and corresponding nonlinear increasing hierarchies of normal ideals. We provide (...) a complete account of the containment relationships between the resulting ideals and show that the corresponding large cardinal properties yield a strict linear refinement of Feng’s original Ramsey hierarchy. We isolate Ramsey properties which provide strictly increasing hierarchies between Feng’s $\Pi _\alpha $ -Ramsey and $\Pi _{\alpha +1}$ -Ramsey cardinals for all odd $\alpha <\omega $ and for all $\omega \leq \alpha <\kappa $. We also show that, given any ordinals $\beta _0,\beta _1<\kappa $ the increasing chains of ideals obtained by iterating the Ramsey operator on the $\Pi ^1_{\beta _0}$ -indescribability ideal and the $\Pi ^1_{\beta _1}$ -indescribability ideal respectively, are eventually equal; moreover, we identify the least degree of Ramseyness at which this equality occurs. As an application of our results we show that one can characterize our new large cardinal notions and the corresponding ideals in terms of generic elementary embeddings; as a special case this yields generic embedding characterizations of $\Pi ^1_\xi $ -indescribability and Ramseyness. (shrink)

It has long been known that scientists have a tendency to conduct experiments in a way that brings about the expected outcome. Here, we provide the first direct demonstration of this type of experimenter bias in experimental philosophy. Opposed to previously discovered types of experimenter bias mediated by face-to-face interactions between experimenters and participants, here we show that experimenters also have a tendency to create stimuli in a way that brings about expected outcomes. We randomly assigned undergraduate experimenters to receive (...) two different hypotheses about folk intuitions of consciousness, and then asked them to design experiments based on their hypothesis. Specifically, experimenters generated sentences ascribing intentional and phenomenal mental states to groups, which were later rated by online participants for naturalness. We found a significant interaction between experimenter hypothesis and participant ratings indicating a general tendency for experimenters to obtain the result that they expected. These results indicate that experimenter bias is a real problem in experimental philosophy since the methods and design employed here mirror the predominant survey methods of the field as a whole. The bearing of the current results on Knobe and Prinz’s :67–83, 2008) group mind hypothesis is discussed, and new methods for avoiding experimenter bias are proposed. (shrink)

This paper proposes a new Separabilist account of thick concepts, called the Expansion View (or EV). According to EV, thick concepts are expanded contents of thin terms. An expanded content is, roughly, the semantic content of a predicate along with modifiers. Although EV is a form of Separabilism, it is distinct from the only kind of Separabilism discussed in the literature, and it has many features that Inseparabilists want from an account of thick concepts. EV can also give non-cognitivists a (...) novel escape from the Anti-Disentangling Argument. §I explains the approach of all previous Separabilists, and argues that there’s no reason for Separabilists to take this approach. §II explains EV. §III fends off objections. And §IV explains how non-cognitivist proponents of EV can escape the Anti-Disentangling Argument. (shrink)

Over the past decade, teaching and learning in virtual worlds has been at the forefront of many higher education institutions around the world. The DEHub Virtual Worlds Working Group (VWWG) consisting of Australian and New Zealand higher education academics was formed in 2009. These educators are investigating the role that virtual worlds play in the future of education and actively changing the direction of their own teaching practice and curricula. 47 academics reporting on 28 Australian higher education institutions present an (...) overview of how they have changed directions through the effective use of virtual worlds for diverse teaching and learning activities such as business scenarios and virtual excursions, role-play simulations, experimentation and language development. The case studies offer insights into the ways in which institutions are continuing to change directions in their teaching to meet changing demands for innovative teaching, learning and research in virtual worlds. This paper highlights the ways in which the authors are using virtual worlds to create opportunities for rich, immersive and authentic activities that would be difficult or not possible to achieve through more traditional approaches. (shrink)

Language of thought theories fall primarily into two views. The first view sees the language of thought as an innate language known as mentalese, which is hypothesized to operate at a level below conscious awareness while at the same time operating at a higher level than the neural events in the brain. The second view supposes that the language of thought is not innate. Rather, the language of thought is natural language. So, as an English speaker, my language of thought (...) would be English. -/- My goal is to defend the second view. My methodology will see the project broken down into three major areas. First I will show that human thinking requires a language of thought, after which I will highlight some problems with assuming that this language is innate and hidden. Included in this section will be a small introduction to the compatibility problem. The compatibility problem offers some obvious difficulties for mentalese theories and these will be discussed. The next stage of the project will focus on evidence that can be put forward in support of the claim that natural language is the language of thought. Our most direct source of evidence comes from introspection, and this will play a dominant role in the discussion. The final part of the thesis will involve an examination of the principle arguments that have been put forward against the idea that natural language is the language of thought. My goal will be to show that these arguments do not entail the existence of mentalese, nor do they show that natural language is not the language of thought. I will provide answers to the arguments, and will explain the phenomena they point to in terms of natural language being the language of thought. (shrink)