David Magnus

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.

Institutional ethics consultation services for biomedical scientists have begun to proliferate, especially for clinical researchers. We discuss several models of ethics consultation and describe a team-based approach used at Stanford University in the context of these models. As research ethics consultation services expand, there are many unresolved questions that need to be addressed, including what the scope, composition, and purpose of such services should be, whether core competencies for consultants can and should be defined, and how conflicts of interest should be mitigated. We make preliminary recommendations for the structure and process of research ethics consultation, based on our initial experiences in a pilot program.

In transplant medicine, the use of normothermic regional perfusion (NRP) in donation after circulatory determination of death raises ethical difficulties. NRP is objectionable because it restores the donor's circulation, thus invalidating a death declaration based on the permanent cessation of circulation. NRP's defenders respond with arguments that are tortuous and factually inaccurate and depend on introducing extraneous concepts into the law. However, results comparable to NRP's—more and higher‐quality organs and more efficient allocation—can be achieved by removing organs from deceased donors and using normothermic machine perfusion (NMP) to support the organs outside the body, without jeopardizing confidence in transplantation's legal and ethical foundations. Given the controversy that NRP generates and the convoluted justifications made for it, we recommend a prudential approach we call “ethical parsimony,” which holds that, in the choice between competing means of achieving a result, the ethically simpler one is to be preferred. This approach makes clear that policy‐makers should favor NMP over NRP.

:Empirical work has shown that patients and physicians have markedly divergent understandings of treatability statements in the context of serious illness. Patients often understand treatability statements as conveying good news for prognosis and quality of life. In contrast, physicians often do not intend treatability statements to convey improvement in prognosis or quality of life, but merely that a treatment is available. Similarly, patients often understand treatability statements as conveying encouragement to hope and pursue further treatment, though this may not be intended by physicians. This radical divergence in understandings may lead to severe miscommunication. This paper seeks to better understand this divergence through linguistic theory—in particular, H.P. Grice’s notion of conversational implicature. This theoretical approach reveals three levels of meaning of treatability statements: the literal meaning, the physician’s intended meaning, and the patient’s received meaning. The divergence between the physician’s intended meaning and the patient’s received meaning can be understood to arise from the lack of shared experience between physicians and patients, and the differing assumptions that each party makes about conversations. This divergence in meaning raises new and largely unidentified challenges to informed consent and shared decision making in the context of serious illness, which indicates a need for further empirical research in this area.

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.