Editors' statement on the responsible use of generative AI technologies in scholarly journal publishing.

Generative artificial intelligence (AI) has the potential to transform many aspects of scholarly publishing. Authors, peer reviewers, and editors might use AI in a variety of ways, and those uses might augment their existing work or might instead be intended to replace it. We are editors of bioethics and humanities journals who have been contemplating the implications of this ongoing transformation. We believe that generative AI may pose a threat to the goals that animate our work but could also be valuable for achieving those goals. In the interests of fostering a wider conversation about how generative AI may be used, we have developed a preliminary set of recommendations for its use in scholarly publishing. We hope that the recommendations and rationales set out here will help the scholarly community navigate toward a deeper understanding of the strengths, limits, and challenges of AI for responsible scholarly work.

The public impact of academic and print media portrayals of TMS: shining a spotlight on discrepancies in the literature.

BACKGROUND: Transcranial magnetic stimulation (TMS) is an FDA approved treatment for major depression, migraine, obsessive compulsive disorder, and smoking addiction. TMS has gained popular media support, but media coverage and commercial reporting of TMS services may be contributing to the landscape of ethical issues. METHODS: We explore the differences between the academic and print media literature portrayals of TMS to evaluate their ethical impact for the public. We performed a comprehensive literature review using PubMed and NexisUni databases to evaluate the literature available on TMS from 2014 to 2019. Our sample consisted of 1632 academic articles and 468 print media articles for a total of 2100 articles. We then coded each article for seven specific top-level codes: (1) type of source, (2) year of publication, (3) purpose of TMS application, (4) age of subjects, (5) population, (6) overall tone, and (7) specification of TMS parameters. We also made some additional notes of the TMS parameters where specified and the breakdown of mental health applications. RESULTS: Our results indicated several discrepancies between the academic and the print media reporting about TMS technology, particularly with regards to tone and specificity. Namely, the academic sample was largely neutral and specific about the parameters under which TMS was being applied, while the print media sample was heavily optimistic and presented the application of TMS with far less specificity. There was some convergence between the two samples, such as the focus of both on therapy as the predominant TMS application. CONCLUSIONS: We call upon the academic community to increase scrutiny of TMS services in order to ensure that people's knowledge of health technologies is not unduly influenced by sensational claims and a general lack of adequate information.

The complex nature of willpower and conceptual mapping of its normative significance in research on stress, addiction, and dementia.

Willpower (as suppression, resolve, and habit) has ramifications for autonomy and mental time-travel. Autonomy presupposes mature powers of volition and the capacity to anticipate future events and consequences of one's actions. Ainslie's study is useful to clarify basic autonomy in addiction and dementia. Furthermore, we show how our study on coping with stress can be applied to suppression and resolve.

Toward Implementing the ADC Model of Moral Judgment in Autonomous Vehicles.

Autonomous vehicles (AVs)-and accidents they are involved in-attest to the urgent need to consider the ethics of artificial intelligence (AI). The question dominating the discussion so far has been whether we want AVs to behave in a 'selfish' or utilitarian manner. Rather than considering modeling self-driving cars on a single moral system like utilitarianism, one possible way to approach programming for AI would be to reflect recent work in neuroethics. The agent-deed-consequence (ADC) model (Dubljevic and Racine in AJOB Neurosci 5(4):3-20, 2014a, Behav Brain Sci 37(5):487-488, 2014b) provides a promising descriptive and normative account while also lending itself well to implementation in AI. The ADC model explains moral judgments by breaking them down into positive or negative intuitive evaluations of the agent, deed, and consequence in any given situation. These intuitive evaluations combine to produce a positive or negative judgment of moral acceptability. For example, the overall judgment of moral acceptability in a situation in which someone committed a deed that is judged as negative (e.g., breaking a law) would be mitigated if the agent had good intentions and the action had a good consequence. This explains the considerable flexibility and stability of human moral judgment that has yet to be replicated in AI. This paper examines the advantages and disadvantages of implementing the ADC model and how the model could inform future work on ethics of AI in general.

Moral Enhancement Meets Normative and Empirical Reality: Assessing the Practical Feasibility of Moral Enhancement Neurotechnologies.

Moral enhancement refers to the possibility of making individuals and societies better from a moral standpoint. A fierce debate has emerged about the ethical aspects of moral enhancement, notably because steering moral enhancement in a particular direction involves choosing amongst a wide array of competing options, and these options entail deciding which moral theory or attributes of the moral agent would benefit from enhancement. Furthermore, the ability and effectiveness of different neurotechnologies to enhance morality have not been carefully examined. In this paper, we assess the practical feasibility of moral enhancement neurotechnologies. We reviewed the literature on neuroscience and cognitive science models of moral judgment and analyzed their implications for the specific target of intervention (cognition, volition or affect) in moral enhancement. We also reviewed and compared evidence on available neurotechnologies that could serve as tools of moral enhancement. We conclude that the predictions of rationalist, emotivist, and dual process models are at odds with evidence, while different intuitionist models of moral judgment are more likely to be aligned with it. Furthermore, the project of moral enhancement is not feasible in the near future as it rests on the use of neurointerventions, which have no moral enhancement effects or, worse, negative effects.

Can Neuroscience Contribute to Practical Ethics? A Critical Review and Discussion of the Methodological and Translational Challenges of the Neuroscience of Ethics.

Neuroethics is an interdisciplinary field that arose in response to novel ethical challenges posed by advances in neuroscience. Historically, neuroethics has provided an opportunity to synergize different disciplines, notably proposing a two-way dialogue between an 'ethics of neuroscience' and a 'neuroscience of ethics'. However, questions surface as to whether a 'neuroscience of ethics' is a useful and unified branch of research and whether it can actually inform or lead to theoretical insights and transferable practical knowledge to help resolve ethical questions. In this article, we examine why the neuroscience of ethics is a promising area of research and summarize what we have learned so far regarding its most promising goals and contributions. We then review some of the key methodological challenges which may have hindered the use of results generated thus far by the neuroscience of ethics. Strategies are suggested to address these challenges and improve the quality of research and increase neuroscience's usefulness for applied ethics and society at large. Finally, we reflect on potential outcomes of a neuroscience of ethics and discuss the different strategies that could be used to support knowledge transfer to help different stakeholders integrate knowledge from the neuroscience of ethics.

Media Portrayal of a Landmark Neuroscience Experiment on Free Will.

The concept of free will has been heavily debated in philosophy and the social sciences. Its alleged importance lies in its association with phenomena fundamental to our understandings of self, such as autonomy, freedom, self-control, agency, and moral responsibility. Consequently, when neuroscience research is interpreted as challenging or even invalidating this concept, a number of heated social and ethical debates surface. We undertook a content analysis of media coverage of Libet's et al.'s (Brain 106(Pt 3):623-642, 1983) landmark study, which is frequently interpreted as posing a serious challenge to the existence of free will. Media descriptions of Libet et al.'s experiment provided limited details about the original study. Overall, many media articles reported that Libet et al.'s experiments undermined the existence of free will, despite acknowledging that several methodological limitations had been identified in the literature. A propensity to attribute greater credibility than warranted to neurobiological explanations could be at stake.

A single cognitive heuristic process meets the complexity of domain-specific moral heuristics.

The inherence heuristic (a) offers modest insights into the complex nature of both the is-ought tension in moral reasoning and moral reasoning per se, and (b) does not reflect the complexity of domain-specific moral heuristics. Formal and general in nature, we contextualize the process described as "inherence heuristic" in a web of domain-specific heuristics (e.g., agent specific; action specific; consequences specific).

Prohibition or coffee shops: regulation of amphetamine and methylphenidate for enhancement use by healthy adults.

This article analyzes appropriate public policies for enhancement use of two most important stimulant drugs: Ritalin (methylphenidate) and Adderall (mixed amphetamine salts). The author argues that appropriate regulation of cognition enhancement drugs cannot be a result of a general discussion on cognitive enhancements as such, but has to be made on a case-by-case basis. Starting from the recently proposed taxation approach to cognition enhancement drugs, the author analyzes available, moderately permissive models of regulation. After a thorough analysis of relevant characteristics of methylphenidate and amphetamine, the author concludes that a moderately liberal permissive regulation of enhancement use by healthy adults might be appropriate for extended release forms of methylphenidate. However, due to their danger profile, amphetamine and instant release forms of methylphenidate should not be made readily available to healthy adults and would need to be prohibited.

The ubiquity of the fallacy of composition in cognitive enhancement and in education.

Research into cognitive enhancement is highly controversial, and arguments for and against it have failed to identify the logical fallacy underlying this debate: the fallacy of composition. The fallacy of composition is a lesser-known fallacy of ambiguity, but it has been explored and applied extensively to other fields, including economics. The fallacy of composition, which occurs when the characteristics of the parts of the whole are incorrectly extended to apply to the whole itself, and the conclusion is false, should be addressed in the debate on cognitive enhancement and within education. Within cognitive enhancement, the premise that individual distinct cognitive processes can be enhanced by cognitive enhancers leads to the conclusion that they must enhance cognition overall, and this idea is pervasive in the literature. If the goal of cognitive enhancement is to enhance cognition or learning, and not merely individual cognitive processes, then this is a clear example of the fallacy of composition. The ambiguity of "cognitive," "cognition," and "enhancement" only perpetuates this fallacy and creates more confusion surrounding the purposes and goals of enhancement. Identifying this fallacy does not threaten the existing body of research; however, it provides a novel framework to explore new avenues for research, education, and enhancement, particularly through education reform initiatives. Education enhances and facilitates learning, and improvements to education could be considered cognitive enhancements. Furthermore, the same fallacy is ubiquitous in education; educators commit it by "teaching to the test" and prioritizing memorization over generalizable skills such as critical thinking and problem solving. We will explore these new avenues for research and highlight principles of learning success from other disciplines to create a clearer understanding of the means and ends of cognitive enhancement. Recognizing the pervasiveness of composition fallacy in cognitive enhancement and education will lead to greater clarity of normative positions and insights into student learning that steer away from fallacious reasoning.

Editors' Statement on the Responsible Use of Generative AI Technologies in Scholarly Journal Publishing.

Generative artificial intelligence (AI) has the potential to transform many aspects of scholarly publishing. Authors, peer reviewers, and editors might use AI in a variety of ways, and those uses might augment their existing work or might instead be intended to replace it. We are editors of bioethics and humanities journals who have been contemplating the implications of this ongoing transformation. We believe that generative AI may pose a threat to the goals that animate our work but could also be valuable for achieving those goals. In the interests of fostering a wider conversation about how generative AI may be used, we have developed a preliminary set of recommendations for its use in scholarly publishing. We hope that the recommendations and rationales set out here will help the scholarly community navigate toward a deeper understanding of the strengths, limits, and challenges of AI for responsible scholarly work.

Editors' Statement on the Responsible Use of Generative AI Technologies in Scholarly Journal Publishing.

Generative artificial intelligence (AI) has the potential to transform many aspects of scholarly publishing. Authors, peer reviewers, and editors might use AI in a variety of ways, and those uses might augment their existing work or might instead be intended to replace it. We are editors of bioethics and humanities journals who have been contemplating the implications of this ongoing transformation. We believe that generative AI may pose a threat to the goals that animate our work but could also be valuable for achieving those goals. In the interests of fostering a wider conversation about how generative AI may be used, we have developed a preliminary set of recommendations for its use in scholarly publishing. We hope that the recommendations and rationales set out here will help the scholarly community navigate toward a deeper understanding of the strengths, limits, and challenges of AI for responsible scholarly work.