CHAPTER F-5 COVID-19 and Accountable Artificial Intelligence in a Global Context
Céline Castets-Renard, Éléonore Fournier-Tombs · University of Ottawa Press eBooks · 2020
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 that were already in humanitarian crises, such as food insecurity and conflict, explaining how these play into the way that 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. Résumé La COVID-19 et l'intelligence artificielle responsable dans un contexte mondialCe chapitre aborde deux des principaux éléments d'une infrastructure d'intelligence artificielle responsable à l'échelle mondiale : la * Full Professor of Law at the Faculty Law (Civil Law Section) of the University of Ottawa, and member of the Center of Law, Technology and Society.** Senior data scientist focusing on anticipatory financing of humanitarian crisis, on joint appointment at UNOCHA's Centre for Humanitarian Data and the World Bank's Disaster Risk Financing Unit.