Should AI allocate livers for transplant? Public attitudes and ethical considerations.

BACKGROUND: Allocation of scarce organs for transplantation is ethically challenging. Artificial intelligence (AI) has been proposed to assist in liver allocation, however the ethics of this remains unexplored and the view of the public unknown. The aim of this paper was to assess public attitudes on whether AI should be used in liver allocation and how it should be implemented. METHODS: We first introduce some potential ethical issues concerning AI in liver allocation, before analysing a pilot survey including online responses from 172 UK laypeople, recruited through Prolific Academic. FINDINGS: Most participants found AI in liver allocation acceptable (69.2%) and would not be less likely to donate their organs if AI was used in allocation (72.7%). Respondents thought AI was more likely to be consistent and less biased compared to humans, although were concerned about the "dehumanisation of healthcare" and whether AI could consider important nuances in allocation decisions. Participants valued accuracy, impartiality, and consistency in a decision-maker, more than interpretability and empathy. Respondents were split on whether AI should be trained on previous decisions or programmed with specific objectives. Whether allocation decisions were made by transplant committee or AI, participants valued consideration of urgency, survival likelihood, life years gained, age, future medication compliance, quality of life, future alcohol use and past alcohol use. On the other hand, the majority thought the following factors were not relevant to prioritisation: past crime, future crime, future societal contribution, social disadvantage, and gender. CONCLUSIONS: There are good reasons to use AI in liver allocation, and our sample of participants appeared to support its use. If confirmed, this support would give democratic legitimacy to the use of AI in this context and reduce the risk that donation rates could be affected negatively. Our findings on specific ethical concerns also identify potential expectations and reservations laypeople have regarding AI in this area, which can inform how AI in liver allocation could be best implemented.

Autonomy and the folk concept of valid consent.

Consent governs innumerable everyday social interactions, including sex, medical exams, the use of property, and economic transactions. Yet little is known about how ordinary people reason about the validity of consent. Across the domains of sex, medicine, and police entry, Study 1 showed that when agents lack autonomous decision-making capacities, participants are less likely to view their consent as valid; however, failing to exercise this capacity and deciding in a nonautonomous way did not reduce consent judgments. Study 2 found that specific and concrete incapacities reduced judgments of valid consent, but failing to exercise these specific capacities did not, even when the consenter makes an irrational and inauthentic decision. Finally, Study 3 showed that the effect of autonomy on judgments of valid consent carries important downstream consequences for moral reasoning about the rights and obligations of third parties, even when the consented-to action is morally wrong. Overall, these findings suggest that laypeople embrace a normative, domain-general concept of valid consent that depends consistently on the possession of autonomous capacities, but not on the exercise of these capacities. Autonomous decisions and autonomous capacities thus play divergent roles in moral reasoning about consent interactions: while the former appears relevant for assessing the wrongfulness of consented-to acts, the latter plays a role in whether consent is regarded as authoritative and therefore as transforming moral rights.

Analyzing debunking arguments in moral psychology: Beyond the counterfactual analysis of influence by irrelevant factors.

May assumes that if moral beliefs are counterfactually dependent on irrelevant factors, then those moral beliefs are based on defective belief-forming processes. This assumption is false. Whether influence by irrelevant factors is debunking depends on the mechanisms through which this influence occurs. This raises the empirical bar for debunkers and helps May avoid an objection to his Debunker's Dilemma.