The increasing application of artificial intelligence (AI) to healthcare raises both hope and ethical concerns. Some advanced machine learning methods provide accurate clinical predictions at the expense of a significant lack of explainability. Alex John London has defended that accuracy is a more important value than explainability in AI medicine. In this article, we locate the trade-off between accurate performance and explainable algorithms in the context of distributive justice. We acknowledge that accuracy is cardinal from outcome-oriented justice because it helps (...) to maximize patients’ benefits and optimizes limited resources. However, we claim that the opaqueness of the algorithmic black box and its absence of explainability threatens core commitments of procedural fairness such as accountability, avoidance of bias, and transparency. To illustrate this, we discuss liver transplantation as a case of critical medical resources in which the lack of explainability in AI-based allocation algorithms is procedurally unfair. Finally, we provide a number of ethical recommendations for when considering the use of unexplainable algorithms in the distribution of health-related resources. (shrink)

Volume 20, Issue 7, July 2020, Page 106-109.

The COVID-19 (SARS-CoV-2) pandemic dealt a severe blow to society as a whole and required countries to confront a situation that exceeded the limits of their borders. In this paper, we analyze how these countries as well as supranational organizations responded to this unprepared global emergency. We also explore what alternative models have been proposed in the wake of this crisis and propose some changes—other ways of acting—so that in future pandemics or global emergencies, we can deal with the situation (...) more effectively. (shrink)

Disability has been traditionally understood as a medical condition. However, people with disabilities have claimed in recent decades for a dephatologized social model of disability—i.e. the functi...

Background: This research explores how public awareness and attitudes toward donation and transplantation policies may contribute to Spain's success in cadaveric organ donation. Materials and Methods: A representative sample of 813 people residing in Andalusia (Southern Spain) were surveyed by telephone or via Internet between October and December 2018. Results: Most participants trust Spain's donation and transplantation system (93%) and wish to donate their organs after death (76%). Among donors, a majority have expressed their consent (59%), and few nondonors have (...) expressed their refusal (14%). Only a minority are aware of the presumed consent system in force (28%) and feel sufficiently informed regarding the requirements needed to be an organ donor (16%). Participants mainly consider that relatives should represent the deceased's preferences and be consulted when the deceased's wishes are unknown, as is the case in Spain. Conclusion: Public trust in the transplant system may contribute to Spain's high performance in organ donation. High levels of societal support toward organ donation and transplantation do not correspond with similar levels of public awareness of donation and transplantation policies in Spain. (shrink)