Hazem Zohny

There are a number of premises underlying much of the vigorous debate on pharmacological cognitive enhancement. Among these are claims in the enhancement literature that such drugs exist and are effective among the cognitively normal. These drugs are deemed to enhance cognition specifically, as opposed to other non-cognitive facets of our psychology, such as mood and motivation. The focus on these drugs as cognitive enhancers also suggests that they raise particular ethical questions, or perhaps more pressing ones, compared to those raised by other kinds of neuroenhancement. Finally, the use of these drugs is often claimed to be significant and increasing. Taken together, these premises are at the heart of the flurry of debate on pharmacological cognitive enhancement. In this article, it is argued that these are presumptions for which the evidence does not hold up. Respectively, the evidence for the efficacy of these drugs is inconsistent; neurologically it makes little sense to distinguish the cognitive from non-cognitive as separate targets of pharmacological intervention; ethically, the questions raised by cognitive enhancement are in fact no different from those raised by other kinds of neuroenhancement; and finally the prevalence rates of these drugs are far from clear, with the bulk of the claims resting on poor or misrepresented data. Greater conceptual clarity along with a more tempered appreciation of the evidence can serve to deflate some of the hype in the associated literature, leading to a more realistic and sober assessment of these prospective technologies

Birks and Buyx (2018) claim that, at least in the foreseeable future, nonconsensual neurointerventions will almost certainly suppress some valuable mental states and will thereby impose an objectionable harm to mental integrity—a harm that it is pro tanto wrong to impose. Of course, incarceration also interferes with valuable mental states, so might seem to be objectionable in the same way. However, Birks and Buyx block this result by maintaining that the negative mental effects of incarceration are merely foreseen, whereas those of neurointerventions are intended. We dispute Birks and Buyx’s characterization of the descriptive difference between these effects. In both cases, the negative effects are caused, not constituted, by the act in question.

Artificial intelligence (AI) and its introduction into clinical pathways presents an array of ethical issues that are being discussed in the JME. 1–7 The development of AI technologies that can produce text that will pass plagiarism detectors 8 and are capable of appearing to be written by a human author 9 present new issues for medical ethics. One set of worries concerns authorship and whether it will now be possible to know that an author or student in fact produced submitted work. That seems likely to be a general worry for secondary and higher education, as well as for all academic journals. Thus far generative AI chatbots do not seem to be able to produce a fully referenced and well-argued ethics article, but they probably could generate a blog or student essay that would...

This article is about the potential justification for deploying some form of affirmative action (AA) in the context of healthcare, and in particular in relation to the pandemic. We call this Affirmative Action in healthcare Resource Allocation (AARA). Specifically, we aim to investigate whether the rationale and justifications for using prioritization policies based on race in education and employment apply in a healthcare setting, and in particular to the COVID-19 pandemic. We concentrate in this article on vaccines and ventilators because these are both highly scarce resources in the pandemic, and there has been a need to develop policies for allocating them. However, as will become clear, the ethical considerations relating to them may diverge. We first set out two rationales for AAs and what they might entail in a healthcare setting. We then consider some disanalogies between AA and AARA, as well as the different implications of AARA for allocating ventilators as opposed to vaccines. Finally, we consider some of the practical ways in which AARA could be implemented, and conclude by responding to some key objections.

Transgender healthcare faces a dilemma. On the one hand, access to certain medical interventions, including hormone treatments or surgeries, where desired, may be beneficial or even vital for some gender dysphoric trans people. But on the other hand, access to medical interventions typically requires a diagnosis, which, in turn, seems to imply the existence of a pathological state—something that many transgender people reject as a false and stigmatizing characterization of their experience or identity. In this paper we argue that developments from the human enhancement debate can help clarify or resolve some of the conceptual and ethical entanglements arising from the apparent conflict between seeking medicine while not necessarily suffering from a pathology or disorder. Specifically, we focus on the welfarist account of human enhancement and argue it can provide a useful conceptual framework for thinking about some of the more contentious disagreements about access to transgender healthcare services.

Since their public launch, a little over a year ago, large language models (LLMs) have inspired a flurry of analysis about what their implications might be for medical ethics, and for society more broadly. 1 Much of the recent debate has moved beyond categorical evaluations of the permissibility or impermissibility of LLM use in different general contexts (eg, at work or school), to more fine-grained discussions of the criteria that should govern their appropriate use in specific domains or towards certain ends. 2 With each passing week, it seems more and more inevitable that LLMs will be a pervasive feature of many, if not most, of our lives. It would not be possible—and would not be desirable—to prohibit them across the board. We need to learn how to live with LLMs; to identify and mitigate the risks they pose to us, to our fellow creatures, and the...

There is a burgeoning scientific and ethical literature on the use of biomarkers—such as genes or brain scan results—and biological interventions to predict and prevent crime. This literature on biopredicting and biopreventing crime focuses almost exclusively on crimes that are physical, violent, and/or sexual in nature—often called blue-collar crimes—while giving little attention to less conventional crimes such as economic and environmental offences, also known as white-collar crimes. We argue here that this skewed focus is unjustified: white-collar crime is likely far costlier than blue-collar crime in money, health, and lives lost. Moreover, attempts to biopredict and bioprevent blue-collar crime may entail adopting potentially unfair measures that target individuals who are already socio-economically disadvantaged, thus compounding pre-existing unfairness. We argue, therefore, that we ought to extend the study of bioprediction and bioprevention to white-collar crime as a means of more efficiently and fairly responding to crime. We suggest that identifying biomarkers for certain psychopathic traits, which appear to be over-represented among senior positions in corporate and perhaps political organisations, is one avenue through which this research can be broadened to include white-collar crime.

The welfarist account of enhancement and disability holds enhanced and disabled states on a spectrum: the former are biological or psychological states that increase the chances of a person leading a good life in the relevant set of circumstances, while the latter decrease those chances. Here, I focus on a particular issue raised by this account: what should we count as part of an individual’s relevant set of circumstances when thinking about enhanced and disabled states? Specifically, is social prejudice relevant to an individual’s circumstances in regards to how disabled or enhanced they are? For instance, if an individual is discriminated against on the basis of their skin colour, and this leads to a reduction in their well-being, the welfarist account suggests that their skin colour is a disability. To avoid such a seeming mislabel, Savulescu and Kahane have argued for excluding social prejudice from counting as a relevant circumstance to their welfarist definition of disability. I argue, however, that this exclusion of social prejudice is unsatisfactory and incompatible with the goals of this account.

One approach to defining enhancement is in the form of bodily or mental changes that tend to improve a person’s well-being. Such a “welfarist account”, however, seems to conflict with moral enhancement: consider an intervention that improves someone’s moral motives but which ultimately diminishes their well-being. According to the welfarist account, this would not be an instance of enhancement—in fact, as I argue, it would count as a disability. This seems to pose a serious limitation for the account. Here, I elaborate on this limitation and argue that, despite it, there is a crucial role for such a welfarist account to play in our practical deliberations about moral enhancement. I do this by exploring four scenarios where a person’s motives are improved at the cost of their well-being. A framework emerges from these scenarios which can clarify disagreements about moral enhancement and help sharpen arguments for and against it.

The concept of mental integrity is currently a significant topic in discussions concerning the regulation of neurotechnologies. Technologies such as deep brain stimulation and brain-computer interfaces are believed to pose a unique threat to mental integrity, and some authors have advocated for a legal right to protect it. Despite this, there remains uncertainty about what mental integrity entails and why it is important. Various interpretations of the concept have been proposed, but the literature on the subject is inconclusive. Here we consider a number of possible interpretations and argue that the most plausible one concerns neurotechnologies that bypass one’s reasoning capacities, and do so specifically in ways that reliably lead to alienation from one’s mental states. This narrows the scope of what constitutes a threat to mental integrity and offers a more precise role for the concept to play in the ethical evaluation of neurotechnologies.

A growing number of technologies are currently being developed to improve and distribute thinking and decision-making. Rapid progress in brain-to-brain interfacing and swarming technologies promises to transform how we think about collective and collaborative cognitive tasks across domains, ranging from research to entertainment, and from therapeutics to military applications. As these tools continue to improve, we are prompted to monitor how they may affect our society on a broader level, but also how they may reshape our fundamental understanding of agency, responsibility, and other key concepts of our moral landscape.In this paper we take a closer look at this class of technologies – Technologies for Collective Minds – to see not only how their implementation may react with commonly held moral values, but also how they challenge our underlying concepts of what constitutes collective or individual agency. We argue that prominent contemporary frameworks for understanding collective agency and responsibility are insufficient in terms of accurately describing the relationships enabled by Technologies for Collective Minds, and that they therefore risk obstructing ethical analysis of the implementation of these technologies in society. We propose a more multidimensional approach to better understand this set of technologies, and to facilitate future research on the ethics of Technologies for Collective Minds.

Animal ethics committees typically focus on the welfare of animals used in experiments, neglecting the potential welfare impact of that animal use on the animal laboratory personnel. Some of this work, particularly the killing of animals, can impose significant psychological burdens that can diminish the well-being of laboratory animal personnel, as well as their capacity to care for animals. We propose that AECs, which regulate animal research in part on the basis of reducing harm, can and ought to require that these harms to researchers are reduced as well. The paper starts by presenting evidence of these burdens and their harm, giving some examples showing how they may be mitigated. We then argue that AECs are well placed to account for these harms to personnel and ought to use their power to reduce their occurrence. We conclude by responding to four potential objections: that this problem should be addressed through health and safety administration, not research ethics administration; that the proposal is unjustifiably paternalistic; that these harms to laboratory animal personnel ought to occur, given their treatment of animals; and that mitigating them may lead to worse treatment of research animals.

LANGUAGE NOTE | Document text in English; abstract also in Chinese. 腦機介面 (BCIs) 是大腦和電腦無需人工交互即可直接交流的一系列技術。隨著人工智能 (AI) 時代的到來，我們需要更多地關注腦機介面和人工智能的融合所帶來的倫理問題。那麼，與機器一起思考會帶來什麼樣的倫理問題？在本文中，圍繞這一主題，我們將重點關注以下問題：自主性、完整性、身分認同、隱私，以及作為一種增強的方式，該技術在兒科領域的應用會帶來怎樣的風險和潛在收益。我們的結論是，雖然該技術存在多種令人擔憂的問題，同時也有可能帶來好處，但仍存在很大的不確定性。如果生命倫理學家想在這一領域有所建樹，他們就應該做好準備來迎接我們對醫學和醫療保健領域中一些我們視為核心價值的理解的重大轉變。 Brain-Computer Interfaces – BCIs – are a set of technologies with which brains and computers can communicate directly, without the need for manual interaction. As we are witnessing the dawn of an era in which Artificial Intelligence (AI) quite possibly will come to dominate the technological innovation landscape, we are compelled to ask questions about the ethical issues which the convergence of BCIs and AI is poised to bring about. What are the ethics of thinking with machines? In this paper, we explore this question, focusing on some of the main arenas of ethical debate and contention, ranging from autonomy and integrity to identity and privacy, and discuss the risks and potential benefits of the technology in the domains of paediatric populations, and as a means of human enhancement. We conclude that, while there are multiple concerns as well as possibilities for the technology to do good, there are great uncertainties at play. If bioethicists want to stay relevant in this field, they ought to prepare themselves for seismic shift in how we conceptualise much of what we take to be core values in medicine and healthcare.

Mainstream bioethics takes after a competitive, individualistic understanding of biology and is ultimately rooted in libertarian 19th-century values. These in turn drive much of the enthusiasm for transhumanism and explain why disability in bioethics is often characterised as a lamentable deficiency. That, at least, is the concern raised by Tom Koch in his paper Disabling disability amid competing ideologies.1 He contrasts this paradigm with a cooperative, communal understanding of biology, and in turn, of bioethics—one which entails generally prioritising a socially cooperative and accommodating response to the fact that different humans have different capacities. It is tempting to defensively nit-pick Koch’s criticisms; to conservatively argue that bioethics is fine as it is, thank you very much. That would be the wrong response, I think. His paper raises a crucial and often neglected issue, which is how the notion of human flourishing is implicitly characterised in these discussions. Nevertheless, I think there is a false dichotomy at the heart of this paper—one between the individualistic/competitive and the communal/cooperative—which overestimates the level of disagreement in bioethics. Koch argues that at least some of the elements of a Darwinian competition have been smuggled into bioethics as unquestioned suppositions that inform much of the domain’s …

Background In the early stages of the COVID-19 pandemic, many health systems, including those in the UK, developed triage guidelines to manage severe shortages of ventilators. At present, there is an insufficient understanding of how the public views these guidelines, and little evidence on which features of a patient the public believe should and should not be considered in ventilator triage. Methods Two surveys were conducted with representative UK samples. In the first survey, 525 participants were asked in an open-ended format to provide features they thought should and should not be considered in allocating ventilators for COVID-19 patients when not enough ventilators are available. In the second survey, 505 participants were presented with 30 features identified from the first study, and were asked if these features should count in favour of a patient with the feature getting a ventilator, count against the patient, or neither. Statistical tests were conducted to determine if a feature was generally considered by participants as morally relevant and whether its mean was non-neutral. Results In Survey 1, the features of a patient most frequently cited as being morally relevant to determining who would receive access to ventilators were age, general health, prospect of recovery, having dependents, and the severity of COVID symptoms. The features most frequently cited as being morally irrelevant to determining who would receive access to ventilators are race, gender, economic status, religion, social status, age, sexual orientation, and career. In Survey 2, the top three features that participants thought should count in favour of receiving a ventilator were pregnancy, having a chance of dying soon, and having waited for a long time. The top three features that participants thought should count against a patient receiving a ventilator were having committed violent crimes in the past, having unnecessarily engaged in activities with a high risk of COVID-19 infection, and a low chance of survival. Conclusions The public generally agreed with existing UK guidelines that allocate ventilators according to medical benefits and that aim to avoid discrimination based on demographic features such as race and gender. However, many participants expressed potentially non-utilitarian concerns, such as inclining to deprioritise ventilator allocation to those who had a criminal history or who contracted the virus by needlessly engaging in high-risk activities.

The rapidly advancing field of brain-computer (BCI) and brain-to-brain interfaces (BBI) is stimulating interest across various sectors including medicine, entertainment, research, and military. The developers of large-scale brain-computer networks, sometimes dubbed ‘Mindplexes’ or ‘Cloudminds’, aim to enhance cognitive functions by distributing them across expansive networks. A key technical challenge is the efficient transmission and storage of information. One proposed solution is employing blockchain technology over Web 3.0 to create decentralised cognitive entities. This paper explores the potential of a decentralised web for coordinating large brain-computer constellations, and its associated benefits, focusing in particular on the conceptual and ethical challenges this innovation may pose pertaining to (1) Identity, (2) Sovereignty (encompassing Autonomy, Authenticity, and Ownership), (3) Responsibility and Accountability, and (4) Privacy, Safety, and Security. We suggest that while a decentralised web can address some concerns and mitigate certain risks, underlying ethical issues persist. Fundamental questions about entity definition within these networks, the distinctions between individuals and collectives, and responsibility distribution within and between networks, demand further exploration.

This paper explores the dilemma faced by mental healthcare professionals in balancing treatment of mental disorders with promoting patient well-being and flourishing. With growing calls for a more explicit focus on patient flourishing in mental healthcare, we address two inter-related challenges: the lack of consensus on defining positive mental health and flourishing, and how professionals should respond to patients with controversial views on what is good for them. We discuss the relationship dynamics between healthcare providers and patients, proposing that ‘liberal’ approaches can provide a pragmatic framework to address disagreements about well-being in the context of flourishing-oriented mental healthcare. We acknowledge the criticisms of these approaches, including the potential for unintended paternalism and distrust. To mitigate these risks, we conclude by suggesting a mechanism to minimize the likelihood of unintended paternalism and foster patient trust.

Large language models (LLMs) have demonstrated potential in enhancing various aspects of healthcare, including health provider–patient communication. However, some have raised the concern that such communication may adopt implicit communication norms that deviate from what patients want or need from talking with their healthcare provider. This paper explores the possibility of using LLMs to enable patients to choose their preferred communication style when discussing their medical cases. By providing a proof-of-concept demonstration using ChatGPT-4, we suggest LLMs can emulate different healthcare provider–patient communication approaches (building on Emanuel and Emanuel’s four models: paternalistic, informative, interpretive and deliberative). This allows patients to engage in a communication style that aligns with their individual needs and preferences. We also highlight potential risks associated with using LLMs in healthcare communication, such as reinforcing patients’ biases and the persuasive capabilities of LLMs that may lead to unintended manipulation.

Advances in brain–brain interface technologies raise the possibility that two or more individuals could directly link their minds, sharing thoughts, emotions, and sensory experiences. This paper explores conceptual and ethical issues posed by such mind-merging technologies in the context of clinical neuroethics. Using hypothetical examples along a spectrum from loosely connected pairs to fully merged minds, the authors sketch out a range of factors relevant to identifying the degree of a merger. They then consider potential new harms like loss of identity, psychological domination, loss of mental privacy, and challenges for notions of autonomy and patient benefit when applied to merged minds. While radical technologies may seem to necessitate new ethical paradigms, the authors suggest the individual-focus underpinning clinical ethics can largely accommodate varying degrees of mind mergers so long as individual patient interests remain identifiable. However, advanced decisionmaking and directives may have limitations in addressing the dilemmas posed. Overall, mind-merging possibilities amplify existing challenges around loss of identity, relating to others, autonomy, privacy, and the delineation of patient interests. This paper lays the groundwork for developing resources to address the novel issues raised, while suggesting the technologies reveal continuity with current healthcare ethics tensions.