Covid-19 accelerating the dynamics of Artificial Intelligence disruption
Publication Type
Book Chapter
Publication Date
1-2021
Abstract
Covid-19 has probably been not only one of the largest social experiments ever, but also the trigger that unleashed the full potential of the ongoing digital transformations, overcoming social resistances to the technology that before seemed unsurmountable. Suddenly, remote work became the new normal, as did remote teaching. With it began a transformation of urban activity, the scope of which we have not yet even glimpsed.Traditionally, the debate around the impact of artificial intelligence revolved around two complementary but opposite views: augmentation and automation. Much work has been devoted to drawing the line between the two and estimating how many existing jobs are likely to be replaced, and how many will need to relearn new skills to cope with augmentation.However, a discourse focused on the factors that trigger this disruption and, in its consequences, leaves little room to understand the new dynamics that emerged and drive internal transformation in the structure of organizations and society itself. We will adopt this perspective to elucidate these dynamics and the new paths they are charting.
Keywords
Covid-19, social experiment, digital transformations, remote work, remote teaching, urban activity transformation, artificial intelligence impact, augmentation, automation, job displacement, skills relearning, disruption factors, internal transformation, organizational structure, societal change
Discipline
Artificial Intelligence and Robotics
Publication
Leveraging Artificial Intelligence in Global Epidemics
Editor
Gruenwald, Le; Jain, Sarika; and Groppe, Sven
First Page
223
Last Page
237
ISBN
978-0-323-89777-8
Identifier
10.1016/B978-0-323-89777-8.00004-X
Publisher
Academic Press (imprint of Elsevier)
City or Country
United Kingdom
Citation
ALMIRALL, Esteve and Feichin Ted TSCHANG (or F. Ted TSCHANG).
Covid-19 accelerating the dynamics of Artificial Intelligence disruption. (2021). Leveraging Artificial Intelligence in Global Epidemics. 223-237.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/7403
Additional URL
https://doi.org/10.1016/B978-0-323-89777-8.00004-X