Cost-equivalence and Pluralism in Publicly-funded Health-care Systems

AI and the need for justification (to the patient)

This paper argues that one problem that besets black-box AI is that it lacks algorithmic justifiability. We argue that the norm of shared decision making in medical care presupposes that treatment decisions ought to be justifiable to the patient. Medical decisions are justifiable to the patient only if they are compatible with the patient's values and preferences and the patient is able to see that this is so. Patient-directed justifiability is threatened by black-box AIs because the lack of rationale provided for the decision makes it difficult for patients to ascertain whether there is adequate fit between the decision and the patient's values. This paper argues that achieving algorithmic transparency does not help patients bridge the gap between their medical decisions and values. We introduce a hypothetical model we call Justifiable AI to illustrate this argument. Justifiable AI aims at modelling normative and evaluative considerations in an explicit way so as to provide a stepping stone for patient and physician to jointly decide on a course of treatment. If our argument succeeds, we should prefer these justifiable models over alternatives if the former are available and aim to develop said models if not.

Which Vaccine? The Cost of Religious Freedom in Vaccination Policy

We discuss whether and under what conditions people should be allowed to choose which COVID-19 vaccine to receive on the basis of personal ethical views. The problem arises primarily with regard to some religious groups' concerns about the connection between certain COVID-19 vaccines and abortion. Vaccines currently approved in Western countries make use of foetal cell lines obtained from aborted foetuses either at the testing stage (Pfizer/BioNTech and Moderna vaccines) or at the development stage (Oxford/AstraZeneca vaccine). The Catholic Church's position is that, if there are alternatives, Catholic people have a moral obligation to request the vaccine whose link with abortion is more remote, which at present means that they should refuse the Oxford/AstraZeneca vaccine. We argue that any consideration regarding free choice of the vaccine should apply to religious and non-religious claims alike, in order to avoid religion-based discrimination. However, we also argue that, in a context of limited availability, considering the significant differences in costs and effectiveness profile of the vaccines available, people should only be allowed to choose the preferred vaccine if: 1) this does not risk compromising vaccination strategies; and 2) they internalize any additional cost that their choice might entail. The State should only subsidize the vaccine that is more cost-effective for any demographic group from the point of view of public health strategies.

Should we have a right to refuse diagnostics and treatment planning by artificial intelligence?

Should we be allowed to refuse any involvement of artificial intelligence (AI) technology in diagnosis and treatment planning? This is the relevant question posed by Ploug and Holm in a recent article in Medicine, Health Care and Philosophy. In this article, I adhere to their conclusions, but not necessarily to the rationale that supports them. First, I argue that the idea that we should recognize this right on the basis of a rational interest defence is not plausible, unless we are willing to judge each patient's ideology or religion. Instead, I consider that the right must be recognized by virtue of values such as social pluralism or individual autonomy. Second, I point out that the scope of such a right should be limited at least under three circumstances: (1) if it is against a physician's obligation to not cause unnecessary harm to a patient or to not provide futile treatment, (2) in cases where the costs of implementing this right are too high, or (3) if recognizing the right would deprive other patients of their own rights to adequate health care.