Recently, Jardas _et al_ have convincingly defended the patient preference predictor (PPP) against a range of autonomy-based objections. In this response, I propose a new autonomy-based objection to the PPP that is not explicitly discussed by Jardas _et al_. I call it the ‘objection from higher-order preferences’. Even if this objection is not sufficient reason to reject the PPP, the objection constitutes a pro tanto reason that is at least as powerful as the ones discussed by Jardas _et al._.

BackgroundHealthcare providers have to make ethically complex clinical decisions which may be a source of stress. Researchers have recently introduced Artificial Intelligence (AI)-based applications to assist in clinical ethical decision-making. However, the use of such tools is controversial. This review aims to provide a comprehensive overview of the reasons given in the academic literature for and against their use.MethodsPubMed, Web of Science, Philpapers.org and Google Scholar were searched for all relevant publications. The resulting set of publications was title and abstract (...) screened according to defined inclusion and exclusion criteria, resulting in 44 papers whose full texts were analysed using the Kuckartz method of qualitative text analysis.ResultsArtificial Intelligence might increase patient autonomy by improving the accuracy of predictions and allowing patients to receive their preferred treatment. It is thought to increase beneficence by providing reliable information, thereby, supporting surrogate decision-making. Some authors fear that reducing ethical decision-making to statistical correlations may limit autonomy. Others argue that AI may not be able to replicate the process of ethical deliberation because it lacks human characteristics. Concerns have been raised about issues of justice, as AI may replicate existing biases in the decision-making process.ConclusionsThe prospective benefits of using AI in clinical ethical decision-making are manifold, but its development and use should be undertaken carefully to avoid ethical pitfalls. Several issues that are central to the discussion of Clinical Decision Support Systems, such as justice, explicability or human–machine interaction, have been neglected in the debate on AI for clinical ethics so far.Trial registrationThis review is registered at Open Science Framework (https://osf.io/wvcs9). (shrink)

The current legal status and medical ethics of routine or religious penile circumcision of minors is a matter of ongoing controversy in many countries. We focus on the United Kingdom as an illustrative example, giving a detailed analysis of the most recent British Medical Association guidance from 2019. We argue that the guidance paints a confused and conflicting portrait of the law and ethics of the procedure in the UK context, reflecting deeper, unresolved moral and legal tensions surrounding child genital (...) cutting practices more generally. Of particular note is a lack of clarity around how to apply the “best interests” standard—ordinarily associated with time-sensitive proxy decision making regarding therapeutic options for a medically unwell patient—to a parental request for a medically unnecessary surgery to be carried out on the genitalia of a healthy child. Challenges arise in measuring and assigning weights to intended sociocultural or religious/spiritual benefits, and even to health-related prophylactic benefits, and in balancing these against potential physical, functional, and psychosexual risks or harms. Also of concern are apparently inconsistent safeguarding standards being applied to children based on their birth sex categorization or gender of rearing. We identify and discuss recent trends in British and international medical ethics and law, finding gradual movement toward a more unified standard for evaluating the permissibility of surgically modifying healthy children's genitals before they can meaningfully participate in the decision. (shrink)