Cambridge Quarterly of Healthcare Ethics最新文献

In this paper, the authors explore the question of whether cognitive enhancement via direct neurostimulation, such as through deep brain stimulation, could be reasonably characterized as a form of transformative experience. This question is inspired by a qualitative study being conducted with people at risk of developing dementia and in intimate relationships with people living with dementia (PLWD). They apply L.A. Paul's work on transformative experience to the question of cognitive enhancement and explore potential limitations on the kind of claims that can legitimately be made about individual well-being and flourishing, as well as limit the kind of empirical work-including the authors' own-that can hope to enlighten ethical discourse. In this paper, the authors advance the following theses: (1) it is sometimes reasonable to characterize cognitive enhancement as a transformative experience; (2) the testimonies of people intimately acquainted with dementia may still be relevant to evaluating cognitive enhancement even though cognitive enhancement may be a transformative experience; and (3) qualitative studies may still be useful in the ethical analysis of cognitive enhancement, but special attention may need to be given to how these are conducted and what kind of insights can be drawn from them.

This paper analyzes the use of public reason requirements in bioethical discourse and discusses when such requirements are warranted. By a "public reason requirement," I mean a requirement that those involved in a particular discourse or debate only use reasons that can properly be described as public reasons. The first part of the paper outlines the concept of public reasons as developed by John Rawls and others and discusses some of the general criticisms of the concept and its importance. The second part then distinguishes between two types of public reason requirements in bioethics. One type is what I will call the orthodox public reason requirement since it hews closely to the original Rawlsian conception. The second is what I will call the expansive public reason requirement, which departs quite radically from the Rawlsian conception and applies the requirement not to policy discourse or policymaking, but to the actions of individuals. Both types of requirements will be analyzed, and some problems in applying public reason requirements in bioethics will be identified. It will be argued that the expansive public reason requirement is misguided. The concluding part argues that requirements of civic civility and what Rawls terms an "inclusive view" of public reason should be important in bioethical discourse.

This article examines the idea of mind-reading technology by focusing on an interesting case of applying a large language model (LLM) to brain data. On the face of it, experimental results appear to show that it is possible to reconstruct mental contents directly from brain data by processing via a chatGPT-like LLM. However, the author argues that this apparent conclusion is not warranted. Through examining how LLMs work, it is shown that they are importantly different from natural language. The former operates on the basis of nonrational data transformations based on a large textual corpus. The latter has a rational dimension, being based on reasons. Using this as a basis, it is argued that brain data does not directly reveal mental content, but can be processed to ground predictions indirectly about mental content. The author concludes that this is impressive but different in principle from technology-mediated mind reading. The applications of LLM-based brain data processing are nevertheless promising for speech rehabilitation or novel communication methods.

In this case report, we describe a woman with advancing dementia who still retained decisional capacity and was able to clearly articulate her request for deactivation of her implanted cardiac pacemaker-a scenario that would result in her death. In this case, the patient had the autonomy to make her decision, but clinicians at an outside hospital refused to deactivate her pacemaker even though they were in unanimous agreement that the patient had capacity to make this decision, citing personal discomfort and a belief that her decision seemed out of proportion to her suffering. We evaluated her at our hospital, found her to have decision-making capacity, and deactivated her pacer resulting in her death about 9 days later. While some clinicians may be comfortable discussing patient preferences for device deactivation in patients who are imminently dying, we can find no reports in the literature of requests for device deactivation from patients with terminal diagnoses who are not imminently dying.

Despite progress, discrimination in public health remains a problem. A significant aspect of this problem relates to how medical resources are allocated. The paradigm of quality-adjusted-life-year (QALY) dictates that medical resources should be allocated on the basis of units measured as length of life and quality of life that are expected after the implementation of a treatment. In this article, I discuss some of the ethical shortcomings of QALY, by focusing on some of its flawed moral aspects, as well as the way it relates to discrimination on the basis of age, race, and disability status. I argue that while this approach seeks to maximize efficiency, it does not place sufficient value on the preservation of life itself. Even more concerning is the fact that the use of QALY disproportionately harms minorities. While QALY is a well-intentioned approach to the allocation of scarce healthcare resources, new alternatives must be sought.

In this paper I critically examine the implications of the uncodifiability thesis for principlism as a pluralistic and non-absolute generalist ethical theory. In this regard, I begin with a brief overview of W.D. Ross's ethical theory and his focus on general but defeasible prima facie principles before turning to 2) the revival of principlism in contemporary bioethics through the influential work of Tom Beauchamp and James Childress; 3) the widespread adoption of specification as a response to the indeterminacy of abstract general principles and the limitations of balancing and deductive approaches; 4) the challenges raised to fully specified principlism by the uncodifiability thesis and 5) finally offer a defense of the uncodifiability thesis against various critiques that have been raised.

In the ethics of algorithms, a specifically epistemological analysis is rarely undertaken in order to gain a critique (or a defense) of the handling of or trust in medical black box algorithms (BBAs). This article aims to begin to fill this research gap. Specifically, the thesis is examined according to which such algorithms are regarded as epistemic authorities (EAs) and that the results of a medical algorithm must completely replace other convictions that patients have (preemptionism). If this were true, it would be a reason to distrust medical BBAs. First, the author describes what EAs are and why BBAs can be considered EAs. Then, preemptionism will be outlined and criticized as an answer to the question of how to deal with an EA. The discussion leads to some requirements for dealing with a BBA as an EA.

It is a common view that artificial systems could play an important role in dealing with the shortage of caregivers due to demographic change. One argument to show that this is also in the interest of care-dependent persons is that artificial systems might significantly enhance user autonomy since they might stay longer in their homes. This argument presupposes that the artificial systems in question do not require permanent supervision and control by human caregivers. For this reason, they need the capacity for some degree of moral decision-making and agency to cope with morally relevant situations (artificial morality). Machine ethics provides the theoretical and ethical framework for artificial morality. This article scrutinizes the question how artificial moral agents that enhance user autonomy could look like. It discusses, in particular, the suggestion that they should be designed as moral avatars of their users to enhance user autonomy in a substantial sense.

Teaching ethics is crucial to health sciences education. Doing it well requires a willingness to engage contentious social issues. Those issues introduce conflict and risk, but avoiding them ignores moral diversity and renders the work of ethics education irrelevant. Therefore, when (not if) contentious issues and moral differences arise, they must be acknowledged and can be addressed with humility, collegiality, and openness to support learning. Faculty must risk moments when not everyone will "feel safe," so the candor implied in psychological safety can emerge. The deliberative and social work of ethics education involves generous listening, wading into difference, and wondering together if our beliefs and arguments are as sound as we once thought. By forecasting the need for candid engagement with contentious issues and moral difference, establishing ground rules, and bolstering due process structures for faculty and students, a riskier and more relevant ethics pedagogy can emerge. Doing so will prepare everyone for the moral diversity they can expect in our common life and in practice.