Neural networks trained on big **data** can now be used in a variety of healthcare-related domains, for instance to issue recommendations regarding resource management in hospitals (bed allocation, ventilators and PPE availability, etc.), transplant waitlists, and more [3]. Some surgeries and exploratory exams can now be performed by high-precision robots aided by machine learning ( [16,19], and AI systems that issue medical diagnoses and suggest treatments have been around for a while [11,18]. Some have explicitly argued that machine learning and computational AI more generally are transforming psychiatry by changing the conceptual categories the field relies on, and might soon transform the very definition of mental disorder [42]. Finally, machine learning is also used in architecture and building engineering to create safer, more affordable, and more sustainable housing (e.g., [20,22,23].