Abstract
This chapter identifies two of the key elements in accountable artificial intelligence infrastructure globally -ethical modelling and responsible data. The chapter takes a global perspective and highlights issues of particular relevance to countries which were already in humanitarian crises, such as food insecurity and conflict, explaining how these play into the way in which epidemiological models should be constructed. Furthermore, it examines vulnerability from the perspective of aid recipients and migrants, to evoke the type of guidelines and laws that should be taken into account for data protection and privacy.
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