"Just" accuracy? Procedural fairness demands explainability in AI-based medical resource allocations.

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.

[Feminist public health, another view on the pandemic.].

Theorists of the ethics and politics of care, with their feminist and intersectional analyses, have spent decades trying to leave their mark on clinical practice and political structures . In them, extensive processes of humanization of the relationship between professionals and people who need their care are required, without neglecting inequalities due to gender, social class or belonging to vulnerable minority groups that go through health and disease experiences in the community. society.