Big data refers to extremely large data generated at high volume, velocity, variety, and veracity. The nurse scientist is uniquely positioned to leverage big data to suggest novel hypotheses on patient care and the healthcare system. The purpose of this paper is to provide an introductory guide to understanding the use and capability of big data for nurse scientists. Herein, we discuss the practical, ethical, social, and educational implications of using big data in nursing research. Some practical challenges with the (...) use of big data include data accessibility, data quality, missing data, variable data standards, fragmentation of health data, and software considerations. Opposing ethical positions arise with the use of big data, and arguments for and against the use of big data are underpinned by concerns about confidentiality, anonymity, and autonomy. The use of big data has health equity dimensions and addressing equity in data is an ethical imperative. There is a need to incorporate competencies needed to leverage big data for nursing research into advanced nursing educational curricula. Nursing science has a great opportunity to evolve and embrace the potential of big data. Nurse scientists should not be spectators but collaborators and drivers of policy change to better leverage and harness the potential of big data. (shrink)

This paper presents an overview of the risks and benefits of Social AI, understood as conversational AI systems that cater to human social needs like romance, companionship, or entertainment. Section 1 of the paper provides a brief history of conversational AI systems and introduces conceptual distinctions to help distinguish varieties of Social AI and pathways to their deployment. Section 2 of the paper adds further context via a brief discussion of anthropomorphism and its relevance to assessment of human-chatbot relationships. Section (...) 3 of the paper provides a survey of potential and in some cases demonstrated harms associated with user interactions with Social AI systems. Finally, Section 4 discusses how the benefits and harms of Social AI can best be addressed, with a primary focus on how frameworks from AI ethics can inform their development. (shrink)

This book is both a critique of the concept of the rights-holding, free, autonomous individual and attendant ideology dominant in the contemporary West, and an account of an alternative view, that of the role-bearing, interrelated responsible person of classical Confucianism, suitably modified for addressing the manifold problems of today.

In light of recent breakneck pace in machine learning, questions about whether near-future artificial systems might be conscious and possess moral status are increasingly pressing. This paper argues that as matters stand these debates lack any clear criteria for resolution via the science of consciousness. Instead, insofar as they are settled at all, it is likely to be via shifts in public attitudes brought about by the increasingly close relationships between humans and AI users. Section 1 of the paper I (...) briefly lays out the current state of the science of consciousness and its limitations insofar as these pertain to machine consciousness, and claims that there are no obvious consensus frameworks to inform public opinion on AI consciousness. Section 2 examines the rise of conversational chatbots or Social AI, and argues that in many cases, these elicit strong and sincere attributions of consciousness, mentality, and moral status from users, a trend likely to become more widespread. Section 3 presents an inconsistent triad for theories that attempt to link consciousness, behaviour, and moral status, noting that the trends in Social AI systems will likely make the inconsistency of these three premises more pressing. Finally, Section 4 presents some limited suggestions for how consciousness and AI research communities should respond to the gap between expert opinion and folk judgment. (shrink)

Book reviewed in this article: Clinical Ethics: A Practical Approach to Ethical Decisions in Clinical Medicine. By Albert R. Jonsen, Mark Siegler, and William J. Winslade.

There is compelling evidence that pain experience is influenced by cognitive states. We explore one specific form of such influence, namely placebo analgesia, and examine its relevance for the cognitive penetration debate in philosophy of mind. We single out as important a form of influence on experience that we term radical cognitive penetration, and argue that some cases of placebo analgesia constitute compelling instances of this phenomenon. Still, we urge caution in extrapolating from this to broader conclusions about cognitive penetration (...) in perceptual experience. Instead, we suggest that the cognitive penetration of pain raises distinctive psychological, epistemological, and ethical issues. (shrink)

A picture of the world as chiefly one of discrete objects, distributed in space and time, has sometimes seemed compelling. It is however one of the main targets of Henry Laycock's book; for it is seriously incomplete. The picture, he argues, leaves no space for "stuff" like air and water. With discrete objects, we may always ask "how many?," but with stuff the question has to be "how much?" Laycock's fascinating exploration also addresses key logical and linguistic questions about (...) the way we categorize the many and the much. (shrink)

There is growing interest in machine ethics in the question of whether and under what circumstances an artificial intelligence would deserve moral consideration. This paper explores a particular type of moral status that the author terms psychological moral patiency, focusing on the epistemological question of what sort of evidence might lead us to reasonably conclude that a given artificial system qualified as having this status. The paper surveys five possible criteria that might be applied: intuitive judgments, assessments of intelligence, the (...) presence of desires and autonomous behavior, evidence of sentience, and behavioral equivalence. The author suggests that despite its limitations, the latter approach offers the best way forward, and defends a variant of that, termed the cognitive equivalence strategy. In short, this holds that an artificial system should be considered a psychological moral patient to the extent that it possesses cognitive mechanisms shared with other beings such as nonhuman animals whom we also consider to be psychological moral patients. -/- . (shrink)

Martha Nussbaum has powerfully argued in Frontiers ofJustice and elsewhere that John Rawls’s sort of social-contract theory cannot usefully be deployed to deal with issues pertaining to justice for the disabled. To counter this claim, this article deploys Rawls’s sort of social-contract theory in order to deal with issues pertaining to justice for the disabled—or, since, as Nussbaum stresses, we all have some degree of disability—for the severely disabled. In this way, rather than questioning one by one Nussbaum’s interpretive claims (...) about Rawls’s view, one can simply see how the Rawlsian framework can work in application to this issue. Following Rawls’s lead, the paper utilizes the idealized “initial choice situation” as an analytic and comparative device for examining alternative principles of justice, developing three different interpretations of the initial choice situation that each correspond to a different set of principles that apply to people of all levels of disability. One of these sets of principles is a simple extension of Rawls’s, one is very close to what Nussbaum herself recommends, and the third is a kind of hybrid. In this way, it is shown not only that Rawls’s social-contract device can usefully be applied to these issues, but also that it is helpful for exploring the deep commitments underlying each of these competing sets of principles. (shrink)

Financial and prosocial biases in favor of attractive adults have been documented in the labor market, in social transactions in everyday life, and in studies involving experimental economic games. According to the taste-based discrimination model developed by economists, attractiveness-related financial and prosocial biases are the result of preferences or prejudices similar to those displayed toward members of a particular sex, racial, ethnic, or religious group. Other explanations proposed by economists and social psychologists maintain that attractiveness is a marker of personality, (...) intelligence, trustworthiness, professional competence, or productivity. Evolutionary psychologists have argued that attractive adults are favored because they are preferred sexual partners. Evidence that stereotypes about attractive people are causally related to financial or prosocial biases toward them is weak or nonexistent. Consistent with evolutionary explanations, biases in favor of attractive women appear to be more consistent or stronger than those in favor of attractive men, and biases are more consistently reported in interactions between opposite-sex than same-sex individuals. Evolutionary explanations also account for increased prosocial behavior in situations in which attractive individuals are simply bystanders. Finally, evolutionary explanations are consistent with the psychological, physiological, and behavioral changes that occur when individuals are exposed to potential mates, which facilitate the expression of courtship behavior and increase the probability of occurrence of mating. Therefore, multiple lines of evidence suggest that mating motives play a more important role in driving financial and prosocial biases toward attractive adults than previously recognized. (shrink)

The science of consciousness has made great strides in recent decades. However, the proliferation of competing theories makes it difficult to reach consensus about artificial consciousness. While for purely scientific purposes we might wish to adopt a ‘wait and see’ attitude, we may soon face practical and ethical questions about whether, for example, agents artificial systems are capable of suffering. Moreover, many of the methods used for assessing consciousness in humans and even non-human animals are not straightforwardly applicable to artificial (...) systems. With these challenges in mind, I propose that we look for ecumenical heuristics for artificial consciousness to enable us to make tentative assessments of the likelihood of consciousness arising in different artificial systems. I argue that such heuristics should have three main features: they should be (i) intuitively plausible, (ii) theoretically-neutral, and (iii) scientifically tractable. I claim that the concept of general intelligence — understood as a capacity for robust, flexible, and integrated cognition and behavior — satisfies these criteria and may thus provide the basis for such a heuristic, allowing us to make initial cautious estimations of which artificial systems are most likely to be conscious. -/- . (shrink)

Triviality arguments against the computational theory of mind claim that computational implementation is trivial and thus does not serve as an adequate metaphysical basis for mental states. It is common to take computational implementation to consist in a mapping from physical states to abstract computational states. In this paper, I propose a novel constraint on the kinds of physical states that can implement computational states, which helps to specify what it is for two physical states to non-trivially implement the same (...) computational state. (shrink)

In our day-to-day lives, we form responsibility judgements about one another – but we are imperfect beings, and our judgments can be mistaken. This paper suggests that we get things wrong not merely by chance, but predictably and systematically. In particular, these miscues are common when we are dealing with large gaps in social status and power. That is, when we form judgements about those who are much more or less socially powerful than ourselves, it is increasingly likely that “epistemic (...) distorters” will reliably disrupt our reasoning. In response to this situation, I argue for the introduction of a new norm concerning blame and social status: “Powerful Restraint.” This norm suggests that the socially powerful ought to blame the socially dispossessed less frequently, and that social pressure be applied to achieve that compliance. I argue that such a norm is justified given the pernicious down-stream moral effects of the up-stream epistemic distortion I describe. I defend it against objections that it suggests a normative solution to an epistemic problem, that it is paternalistic, and that it involves a kind of disrespect to the less socially powerful. (shrink)

Traces the decentered formulation of self at the heart of Paul Ricoeur's philosophy from his earliest works to his most recent.

Despite there being little consensus on what intelligence is or how to measure it, the media and the public have become increasingly preoccupied with the concept owing to recent accomplishments in machine learning and research on artificial intelligence (AI). Governments and corporations are investing billions of dollars to fund researchers who are keen to produce an ever‐expanding range of artificial intelligent systems. More than 30 countries have announced such research initiatives over the past 3 years 1. For example, the EU (...) Commission pledged to increase the investment in AI research to €1.5 billion by 2020 (from €500 million in 2017), while China has committed $2.1 billion towards an AI technology park in Beijing alone 1. This global investment in AI is astonishing and prompts several questions: What are the true possibilities and limitations of AI? What do AI researchers and developers mean by “intelligence”? How does this compare to the everyday concept of intelligence and how the term is other branches of cognitive science? And can machine learning produce anything that is truly “intelligent”? (shrink)

The study examines the relative merits of a noncompatibility and a restructuring explanation of the recurrent empirical finding that a prominent attribute looms larger in choices than in judgments. Pairs of equally attractive options were presented to 72 undergraduates who were assigned to six conditions in which they performed (1) only preference judgments or choices, (2) preference judgments or choices preceded by judgments of attractiveness of attribute levels, or (3) preference judgments or choices accompanied by think-aloud reports. The results replicated (...) the prominence efTect for choices, but a prominence effect was also found for preference judgments. In accordance with the restructuring explanation, the think-aloud protocols indicated that options were more often restructured in choices than in preference judgments. However, restructuring could not explain the prominence effect observed for preference judgments. A modified compatibility hypothesis is offered as an alternative explanation. (shrink)

In the face of limited resources during the COVID-19 pandemic response, public health experts and ethicists have sought to apply guiding principles in determining how those resources, including vaccines, should be allocated.

Certified nursing assistants (CNAs) provide up to 80% of the direct care to older adults in long‐term care facilities.CNAs are perceived as being at the bottom of the hierarchy among healthcare professionals often negatively affecting their job satisfaction. However, manyCNAs persevere in providing quality care and even reporting high levels of job satisfaction. The aim of the present investigation was to identify primary themes that may helpCNAs make meaning of their chosen career; thus potentially partially explaining increases in job satisfaction (...) among this group. Focus groups were conducted withCNAs at three long‐term care facilities. Four themes emerged from the data:CNAwork is good or special;CNAas relationship builder;CNAas expert;CNAas team member. These themes reflect the perceptions that theseCNAs held in regard to themselves and their relationships to others in the work environment and, when present, can contribute to intrinsic job satisfaction. Our meaning‐making themes support the premise thatCNAs do not passively accept the evaluations of others but instead actively frame identities that validate their importance to residents and the institution. (shrink)

Several studies have shown that preference is not necessarily synonymous with choice. In particular, the most preferred object from a set of objects presented in a non—choice context is not necessarily chosen when the same objects are options in a choice situation (Lichtenstein & Slovic, 1971, 1973; Tversky, Sattah, & Slovic, 1988) . Our research on the choice—preference discrepancy replicates these findings and thus bears some resemblance to the study by Tversky, Sattah, and Slovic (1988). Two competing explanations are tested.

Direct-to-Consumer genomics has been a controversial topic for over a decade. Much work has been done on the legal issues it raises. This article asks a different question: What will DTC genomics and its legal issues look like in ten to twenty years? After discussing the five current uses of DTC genomics, it describes three current legal issues: medical uses, privacy of genomic information, and privacy in collection and analysis of human DNA. It then suggests that changes in human genomics (...) and how it is used will make the first of those DTC genomics legal issues less important in the future, but that the third will be increasingly significant. (shrink)

In her reply to Gershom Scholem’s criticism of Eichmann in Jerusalem: A Report on the Banality of Evil, Hannah Arendt writes.

In this discussion I respond to some of the criticisms raised by Béatrice Longuenesse and Hannah Ginsborg to my account of Kant's aesthetic theory presents in Kant's Theory of Taste.

The Nyāya school of classical Indian epistemology defended (by today’s standards) a radical version of epistemic externalism. They also gave arguments from their epistemological positions to an early version of disjunctivism about perceptual experience. In this paper I assess the value of such an argument, concluding that a modified version of the Nyāya argument may be defensible.