When is it morally acceptable to expose others to risk? Most moral philosophers have had very little to say in answer to that question, but here is a moral philosopher who puts it at the centre of his investigations.

Modern health data practices come with many practical uncertainties. In this paper, I argue that data subjects’ trust in the institutions and organizations that control their data, and their ability to know their own moral obligations in relation to their data, are undermined by significant uncertainties regarding the what, how, and who of mass data collection and analysis. I conclude by considering how proposals for managing situations of high uncertainty might be applied to this problem. These emphasize increasing organizational flexibility, (...) knowledge, and capacity, and reducing hazard. (shrink)

The first history of American medical ethics published in more than a half century, Before Bioethics tracks the evolution of American medical ethics from colonial midwives and physicians' oaths to current bioethical controversies over abortion, AIDS, animal rights, and physician-assisted suicide.

K. Anthony Appiah, the author of the internationally best-selling Cosmopolitanism, analyzes what causes societies to end cruelty and injustices - such as slavery, foot binding, or honor killing. Can a government through its laws halt egregious violations of human decency and can mere moral instruction bring an end to human suffering? No, says Appiah, demonstrating how reform succeeds only when it enlists the primal human sense of honor. When it comes to morality, honor is the lever arm that connects what (...) we know to what we do. (shrink)

Michael J. Zimmerman offers a conceptual analysis of the moral ‘ought’ that focuses on moral decision-making under uncertainty. His central case, originally presented by Frank Jackson, concerns a doctor who must choose among three treatments for a minor ailment. Her evidence suggests that drug B will partially cure her patient, that one of either drug A or C would cure him completely, but that the other drug would kill him. Accepting the intuition that the doctor ought to choose drug B, (...) Zimmerman argues that moral obligation consists in performing the action that is ‘prospectively best,’ that is ‘that which, from the moral point of view, it is most reasonable for the agent to choose’ given the evidence available to her at the time.Zimmerman defends his Prospective View of moral obligation against two main competitors in the long, first chapter of the book. According to the Objective View, a person ought to choose what is, in fact, the best option. The doctor ought to give her patient whichever drug will actually cure him. The fact that the doctor cannot know whether this is drug …. (shrink)

Critical Data Studies explore the unique cultural, ethical, and critical challenges posed by Big Data. Rather than treat Big Data as only scientifically empirical and therefore largely neutral phenomena, CDS advocates the view that Big Data should be seen as always-already constituted within wider data assemblages. Assemblages is a concept that helps capture the multitude of ways that already-composed data structures inflect and interact with society, its organization and functioning, and the resulting impact on individuals’ daily lives. CDS questions the (...) many assumptions about Big Data that permeate contemporary literature on information and society by locating instances where Big Data may be naively taken to denote objective and transparent informational entities. In this introduction to the Big Data & Society CDS special theme, we briefly describe CDS work, its orientations, and principles. (shrink)

A central question in philosophical and sociological accounts of technology is how the agency of technologies should be conceived, that is, how to understand their constitutive roles in the actions performed by assemblages of humans and artifacts. To address this question, I build on the suggestion that a helpful perspective can be gained by amalgamating “actor-network theory” and “postphenomenological” accounts. The idea is that only a combined account can confront both the nuances of human experiential relationships with technology on which (...) postphenomenology specializes, and also the chains of interactions between numerous technologies and humans that actor-network theory can address. To perform this amalgamation, however, several technical adjustments to these theories are required. The central change I develop here is to the postphenomenological notion of “multistability,” i.e., the claim that a technology can be used for multiple purposes through different contexts. I expand the postphenomenological framework through the development of a method called “variational cross-examination,” which involves critically contrasting the various stabilities of a multistable technology for the purpose of exploring how a particular stability has come to dominate. As a guiding example, I explore the case of the everyday public bench. The agency of this “mundane artifact,” as actor-network theorist Bruno Latour would call it, cannot be accounted for by either postphenomenology or actor-network theory alone. (shrink)

Stephen Campbell, Connie Ulrich, and Christine Grady argue that we need to a broader understanding of moral distress – broader, that is, than the one commonly used within nursing-ethics and, more recently, healthcare ethics in general. On their proposed definition, moral distress is any self-directed negative attitude we might have in response to viewing ourselves as participating in a morally undesirable situation. While being in general agreement with much of what Campbell et al. say, I make two suggestions. First, in (...) order to distinguish moral distress that is specifically related to the roles and responsibilities of healthcare-workers from other kinds of moral distress, it would be useful for the broadened definition to contain an explicit reference to the distinctive situation and challenges faced by healthcare-workers. Second, whereas Campbell et al. write in a manner that suggests that there is very little that is positive or redeeming about moral distress, we should also ask if there is anything morally good about such distress. I suggest that the disposition to respond with moral distress to situations that call for it can plausibly be seen as a virtue on the part of healthcare-workers. The moral value of responses of appropriate moral distress is positive (because it is a display of virtue on the part of the healthcare-worker), whereas the state of affairs that moral distress is called for is bad and regrettable. (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)

Some philosophers have recently argued that decision-makers ought to take normative uncertainty into account in their decisionmaking. These philosophers argue that, just as it is plausible that we should maximize expected value under empirical uncertainty, it is plausible that we should maximize expected choice-worthiness under normative uncertainty. However, such an approach faces two serious problems: how to deal with merely ordinal theories, which do not give sense to the idea of magnitudes of choice-worthiness; and how, even when theories do give (...) sense to magnitudes of choice-worthiness, to compare magnitudes of choice-worthiness across different theories. Some critics have suggested that these problems are fatal to the project of developing a normative account of decision-making under normative uncertainty. The primary purpose of this article is to show that this is not the case. To this end, I develop an analogy between decision-making under normative uncertainty and the problem of social choice, and then argue that the Borda Rule provides the best way of making decisions in the face of merely ordinal theories and intertheoretic incomparability. (shrink)

We are often uncertain how to behave morally in complex situations. In this controversial study, Ted Lockhart contends that moral philosophy has failed to address how we make such moral decisions. Adapting decision theory to the task of decision-making under moral uncertainly, he proposes that we should not always act how we feel we ought to act, and that sometimes we should act against what we feel to be morally right. Lockhart also discusses abortion extensively and proposes new ways to (...) deal with the ethical and moral issues which surround it. (shrink)

How should deontologists concerned with the ethics of killing apply their moral theory when we don’t know all the facts relevant to the permissibility of our action? Though the stakes couldn’t be higher, and uncertainty is endemic where killing is concerned, few deontologists have an answer to this question. In this paper I canvass two possibilities: that we should apply a threshold standard, equivalent to the ‘beyond a reasonable doubt’ standard applied for criminal punishment; and that we should fit our (...) deontological ethical theory into the apparatus of decision theory. I show that the first approach faces insurmountable obstacles, while the second holds much more promise for deontologists than they might first have assumed. (shrink)

In this essay, we explore an issue of moral uncertainty: what we are permitted to do when we are unsure about which moral principles are correct. We develop a novel approach to this issue that incorporates important insights from previous work on moral uncertainty, while avoiding some of the difficulties that beset existing alternative approaches. Our approach is based on evaluating and choosing between option sets rather than particular conduct options. We show how our approach is particularly well-suited to address (...) this issue of moral uncertainty with respect to agents that have credence in moral theories that are not fully consequentialist. (shrink)

In this volume, Feinberg focuses on the meanings of "interest," the relationship between interests and wants, and the distinction between want-regarding and ideal-regarding analyses on interest and hard cases for the applications of the concept of harm. Examples of the "hard cases" are harm to character, vicarious harm, and prenatal and posthumous harm. Feinberg also discusses the relationship between harm and rights, the concept of a victim, and the distinctions of various quantitative dimensions of harm, consent, and offense, including the (...) magnitude, probability, risk, and "importance" of harm. (shrink)

Some luck, in a decision of Gauguin's kind, is extrinsic to his project, some intrinsic; both are necessary for success, and hence for actual justification, but only the latter relates to un- justification. If we now broaden the range of cases slightly, ...

Every choice we make is set against a background of massive ignorance about our past, our future, our circumstances, and ourselves. Philosophers are divided on the moral significance of such ignorance. Some say that it has a direct impact on how we ought to behave - the question of what our moral obligations are; others deny this, claiming that it only affects how we ought to be judged in light of the behaviour in which we choose to engage - the (...) question of what responsibility we bear for our choices. Michael Zimmerman claims that our ignorance has an important bearing on both questions, and offers an account of moral obligation and moral responsibility that is sharply at odds with the prevailing wisdom. His book will be of interest to a wide range of readers in ethics. (shrink)