Some Crucial and Major Changes in a Post-COVID-19 World as Seen by the AI System Mileva

Abstract

Why use an artificial intelligence (AI) system to determine crucial, major changes in a post-COVID-19 world? Globalisation is both a system and a process characterised by complexity, that is, a referential in which heterogeneous agents are constantly interacting. It therefore requires an integral and dynamic approach, and even more so a tool in tune with complexity. That is the case of the AI system Mileva, specifically designed for tackling complexity, highlighting the fabric of its reality, its core issues, and to forecast the probabilities of the different possible evolutions. In this chapter, the authors first briefly describe globalisation with regard to complexity, at the crossroads of computational complexity theory and sociological complexity theory (Edgar Morin). The authors then present the AI system Mileva, its key principles and the main lines of its architecture. Finally, the aforementioned points will be illustrated by two examples of analyses provided by Mileva on the issue of major changes in a post-COVID-19 world: the situation of the international organisations and that of the world of work in relation to health, environment, development, and democracy.

Citation

Fert, V., Lorho, T. and Raillon, C. (2023), "Some Crucial and Major Changes in a Post-COVID-19 World as Seen by the AI System Mileva", Chatterji, M., Luterbacher, U., Fert, V. and Chen, B. (Ed.) Globalisation and COVID-19 (Contributions to Conflict Management, Peace Economics and Development, Vol. 31), Emerald Publishing Limited, Leeds, pp. 119-139. https://doi.org/10.1108/S1572-832320230000031007