The devastating impacts of coronavirus have recently shaken up the world. This pandemic has changed every individual's life, forcing them to adapt to a new normal to survive the deadly disease. With these adjustments, technology has never been more needed than today to stay connected, stay productive, and receive important news. Though people are getting used to the new normal, it is essential to understand technology's role. Resiliency is an important concept to look at during the pandemic. It is crucial to understand how technology has helped individuals, communities, and infrastructures become more resilient. The purpose of this paper is to gain a deeper understanding of resiliency through previous literature. Though resiliency has become a study over the years, it is relatively new in artificial intelligence (AI). By reviewing different resilient models and systems from preceding literature and their impact on various kinds of situations, there will be an understanding of the term resilience and how various frameworks and scales will help create a pandemic management model. Discussing how the various kinds of resilience have helped people and Infrastructure during the pandemic will allow researchers and other professionals to understand resiliency and prepare for future disturbances. (c) 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the Complex Adaptive Systems Conference, June 2021.
Resilience: Some Conceptual Considerations in the Case of AI