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)

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)

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)

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)

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)

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,...

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)

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)

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)

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)

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)

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)

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

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)

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)

In the article ‘Represent Me: Please! Towards an Ethics of Digital Twins in Medicine’, I analysed and tried to better understand the main ethical challenges associated with Digital Twins. For those who are just entering the debate with this article: DT is a metaphor for a bundle of artificial intelligence driven simulation technologies that constantly, in real time and ad personam simulate single or multiple parts of the body and make predictions about future health states based on these simulations. My (...) argument addresses the need to look at the breadth of challenges through a perspective of representation. From such a take, key consequences can be drawn for the further development of such technologies, the required means of control and not least the way to think about the interaction between humans and ‘their’ simulations. I am very grateful for the subsequent suggestions, criticisms and further arguments, which have helped me to elaborate my arguments more clearly and have led to a substantial advancement of the debate and the discussion about ethical questions in dealing with DT. Jenny Blumenthal-Barby,1 Deborah Lupton,2 Jenny Krutzinna,3 Janina Loh,4 Brent Mittelstadt,5 Sven Nyholm,6 Daniel Tigard7 and Max Tretter8 have made excellent points, which, in the following, I will not be able to reply to individually and in detail. In this response, I will try to bundle the open points and questions along the comments and considerations mentioned above and attempt to outline their significance for an ethics of DT. Four challenges seem to be central. A first point addresses anthropological issues. It is concerned …. (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)

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)

A formal theory of quantity T Q is presented which is realist, Platonist, and syntactically second-order (while logically elementary), in contrast with the existing formal theories of quantity developed within the theory of measurement, which are empiricist, nominalist, and syntactically first-order (while logically non-elementary). T Q is shown to be formally and empirically adequate as a theory of quantity, and is argued to be scientifically superior to the existing first-order theories of quantity in that it does not depend upon empirically (...) unsupported assumptions concerning existence of physical objects (e.g. that any two actual objects have an actual sum). The theory T Q supports and illustrates a form of naturalistic Platonism, for which claims concerning the existence and properties of universals form part of natural science, and the distinction between accidental generalizations and laws of nature has a basis in the second-order structure of the world. (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)

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.

The numerical representations of measurement, geometry and kinematics are here subsumed under a general theory of representation. The standard theories of meaningfulness of representational propositions in these three areas are shown to be special cases of two theories of meaningfulness for arbitrary representational propositions: the theories based on unstructured and on structured representation respectively. The foundations of the standard theories of meaningfulness are critically analyzed and two basic assumptions are isolated which do not seem to have received adequate justification: the (...) assumption that a proposition invariant under the appropriate group is therefore meaningful, and the assumption that representations should be unique up to a transformation of the appropriate group. A general theory of representational meaningfulness is offered, based on a semantic and syntactic analysis of representational propositions. Two neglected features of representational propositions are formalized and made use of: (a) that such propositions are induced by more general propositions defined for other structures than the one being represented, and (b) that the true purpose of representation is the application of the theory of the representing system to the represented system. On the basis of these developments, justifications are offered for the two problematic assumptions made by the existing theories. (shrink)

The discharge of older people from hospital at night is a topical and emotive issue that has recently gained media attention in New Zealand and the United Kingdom, including calls to prevent it occurring. With growing pressures on hospital capacity and ageing populations, normative aspects of hospital discharge are increasingly relevant. This paper therefore addresses the question: Should older people (say, over eighty years old) ever be discharged home from hospital during the night? Or given safety concerns, should regulation against (...) the night-time discharge of older people be put in place? Employing a principlist lens to bioethics, this paper considers key principles or values involved, including discharge safety concerns, personal preference and consent, the risk of remaining in hospital, and broader considerations around discharge policy. These points act as a possible framework for further research and discussion of normative aspects of hospital discharge. Overall, this paper argues that while discharge safety concerns must be properly acknowledged and addressed, it can still sometimes be appropriate for an older person to leave hospital at night. The option of night-time discharge should therefore remain open to people of all ages. (shrink)

The concept of individuality as applied to species, an important advance in the philosophy of evolutionary biology, is nevertheless in need of refinement. Four important subparts of this concept must be recognized: spatial boundaries, temporal boundaries, integration, and cohesion. Not all species necessarily meet all of these. Two very different types of pluralism have been advocated with respect to species, only one of which is satisfactory. An often unrecognized distinction between grouping and ranking components of any species concept is necessary. (...) A phylogenetic species concept is advocated that uses a grouping criterion of monophyly in a cladistic sense, and a ranking criterion based on those causal processes that are most important in producing and maintaining lineages in a particular case. Such causal processes can include actual interbreeding, selective constraints, and developmental canalization. The widespread use of the biological species concept is flawed for two reasons: because of a failure to distinguish grouping from ranking criteria and because of an unwarranted emphasis on the importance of interbreeding as a universal causal factor controlling evolutionary diversification. The potential to interbreed is not in itself a process; it is instead a result of a diversity of processes which result in shared selective environments and common developmental programs. These types of processes act in both sexual and asexual organisms, thus the phylogenetic species concept can reflect an underlying unity that the biological species concept can not. (shrink)

This article examines the blesser phenomenon in South Africa, which gained rapid popularity in 2016. A large body of research exists that reveals that transactional sex is a significant theme within the phenomenon of blesser and blessee relationships. Scholarship has demonstrated that transactional sex has contributed to an increase in human immunodeficiency virus infection rates, especially amongst women aged 15–24 years, as well as a concerning increase in teenage pregnancy. Whilst these are dire realities of blesser–blessee relationships, the one that (...) is most concerning in the current climate in South Africa is the increase in gender-based violence, intimate partner violence and femicide. Therefore, this article concerns itself primarily with this epidemic as it seeks to demonstrate how the blesser phenomenon contributes to GBV and IPV. Blessees are the young women in the blesser–blessee relationships who experience trauma and shame because of the violence and abuse inflicted on them by the older male blessers. The article argues that the church should be seen to be taking decisive action in addressing the scourge of GBV and IPV. The narrative approach is used to give the blessees the opportunity to share their stories. By applying the techniques of narrative therapy, positive deconstruction and the art of holy listening, the study reaches its key outcome: to offer to the church a framework for a pastoral care and healing methodology to help our sisters in Christ to experience healing and to move from shame to self-worth.Contribution: The Blesser phenomen has never been dealt with in theology, especially from the African perspective. Both sides of the problem need pastoral care. The major issue is where do we begin? I started, pastorally working with the blessee, who is in relationship with an older man. The main question that could be pastorally followed is, why pursue an older man for provision? This is a major pastoral issue, especially in poor communities. The younger women are in need of finance, in order to complete their studies and eke out a living. Beside the Covid 19 pandemic, this is the second major issue affecting black townships. (shrink)

A discussion of Kant's aesthetics and their place in the philosopher's theory offers a new interpretation of Kant's writings on the nature of the beautiful.

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)

The standard mathematical apparatus of classical electromagnetic theory in Minkowski space-time allows an interpretation in terms of retarded distant action, as well as the standard field interpretation. This interpretation is here presented and defended as a scientifically significant alternative to the field theory, casting doubt upon the common view that classical electromagnetic theory provides scientific support for the physical existence of fields as fundamental entities. The various types of consideration normally thought to provide evidence for the existence of the electromagnetic (...) field are surveyed and analyzed in retarded distant action terms, from both a contemporary viewpoint and with regard to the late 19th century context within which the field theory was first generally accepted. It is concluded that acceptance of the field as real is not evidentially justified in either context, and that the customary historical explanation of the triumph of field theory as due to its empirical superiority is inadequate. An alternative explanation is suggested but not developed, appealing to non-empirical factors associated with the research program based on the conservation of energy. (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)

The conventional history of modern scientific peer review begins with the censorship practices of the Royal Society of London in the 1660s. This article traces one strand of the “prehistory” of peer review in the writings of John Amos Comenius and other members of the Hartlib circle, a precursor group to the Royal Society of London. These reformers appear to have first envisioned peer review as a technique for theologians, only later proposing to apply it to philosophy. The importance of (...) peer review was as a technique that would permit a community of theologians or philosophers to resolve disputes internally rather than publicly, since public disputation would (they believed) sow doubt, error, and confusion, and disrupt the social order. (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)

The weakly compact reflection principle\\) states that \ is a weakly compact cardinal and every weakly compact subset of \ has a weakly compact proper initial segment. The weakly compact reflection principle at \ implies that \ is an \-weakly compact cardinal. In this article we show that the weakly compact reflection principle does not imply that \ is \\)-weakly compact. Moreover, we show that if the weakly compact reflection principle holds at \ then there is a forcing extension preserving (...) this in which \ is the least \-weakly compact cardinal. Along the way we generalize the well-known result which states that if \ is a regular cardinal then in any forcing extension by \-c.c. forcing the nonstationary ideal equals the ideal generated by the ground model nonstationary ideal; our generalization states that if \ is a weakly compact cardinal then after forcing with a ‘typical’ Easton-support iteration of length \ the weakly compact ideal equals the ideal generated by the ground model weakly compact ideal. (shrink)

We investigate properties of the ineffability and the Ramsey operator, and a common generalization of those that was introduced by the second author, with respect to higher indescribability, as introduced by the first author. This extends earlier investigations on the ineffability operator by James Baumgartner, and on the Ramsey operator by Qi Feng, by Philip Welch et al., and by the first author.

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)

Examining intrapersonal factors theorized to influence ethics reporting decisions, the relation of self-efficacy as a predictor of propensity for internal whistleblowing is investigated within a US and Canadian multi-regional context. Over 900 professionals from a total of nine regions in Canada and the US participated. Self-efficacy was found to influence participant reported propensity for internal whistleblowing consistently in both the US and Canada. Seasoned participants with greater management and work experience demonstrated higher levels of self-efficacy while gender was also found (...) to be influential to self-efficacy. These individual traits, although related to self-efficacy, did not directly relate to propensities for internal whistleblowing. The findings demonstrate that self-efficacy could represent an important individual trait for examining whistleblowing issues. Internal whistleblowing is becoming an important organizational consideration in many areas of North America, yet there is relatively little research on the topic. Organizations seeking effective internal reporting systems should consider the influence of self-efficacy along with its potential reporting influence. By empirically testing an under-examined component of theory related to internal whistleblowing, this effort contributes to management literature, extending the knowledge beyond a US context, and provides recommendation for managing individual bias with internal reporting systems. (shrink)