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Factors Affecting Artificial Intelligence and Management of Institutional Response to the Event of Coronavirus in Pakistan.

Authors :
Sumra, Kalsoom B.
Alam, Mehtab
Noor, Khairul Baharein Mohd
Hali, Shafei Moiz
Iftikhar, Hamza
Source :
Pertanika Journal of Social Sciences & Humanities; Dec2022, Vol. 30 Issue 4, p1451-1472, 22p
Publication Year :
2022

Abstract

With millions of people segregating around the globe, Coronavirus stands truly a global event. It ranges to the trajectories of states with miserable and wrecked health care systems. The transmission is aided by the wide-ranging response from the policy planning and state organizations. Experts are aware of the sternness and contamination of the infectious disease and its disastrous consequences that desire for inoculation of Artificial Intelligence (AI). The absence of an AI policy rejoinder may lead to increased fatalities for weathering the storm. Despite the wide range of responses, the up-to-date policy needs an organized way to track the inflexibility of state-run organizations' frameworks to attain the objectives of AI organizational policy response. The study's objectives include including key national institutions to understand perceptions and motivations to challenge the event of COVID-19 through common grounds of Artificial Intelligence. The data is obtained through an online survey from the foreign office, health care services, inter-coordination ministries, and science and technology ministry. The paper has unfolded the useless directions, impractical steps, uncertainty, ineffective communication, and social protection, which led to the rapid spread of infection. Refining each health indicator and reducing the progression of the pandemic through the AI archetype is conceivable only when officialdoms employ the AI-based approach. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01287702
Volume :
30
Issue :
4
Database :
Complementary Index
Journal :
Pertanika Journal of Social Sciences & Humanities
Publication Type :
Academic Journal
Accession number :
161022670
Full Text :
https://doi.org/10.47836/pjssh.30.4.01