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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM46681

AI-Driven Workforce Transformation with Pandemic Acceleration and Ethical Governance

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM46681

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM46681

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

1LS

1M L Sharma

2K

2Sunil Kumar

3KS

3Alok Kumar Sharma

4D

4Yug Dhawan

5S

5Nikhil Singh

6S

6Akshay Sachdeva

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Abstract

This study examines how artificial intelligence (AI) is revolutionizing the global workforce, particularly with regard to the acceleration of digital referrals to the Covid-19 pandemic. This study will determine how AI technology will open up new opportunities in all industries by changing employment structures, promoting automation, and examining work trends before and after the pandemic. This study evaluates both short-term disruptions and long-term changes, qualification demands, and organizational dynamics based on mixed-method approaches in Job role’s field. The results show the two track story. Routine tasks will be replaced by automation of AI control, but AI-centric jobs that require highly developed digital and cognitive skills are also becoming increasingly common. In addition to treating important ethical issues through bias, surveillance and fair access, this paper deals with tactical framework conditions for responsible integration of AI and comprehensive workers. This study concludes with several future recommendations to help political decision makers and businessmen control the changing work of jobs in the A- operation economy.

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Cite This Article

1M L Sharma, 2Sunil Kumar, 3Alok Kumar Sharma, 4Yug Dhawan, 5Nikhil Singh, 6Akshay Sachdeva, "AI-Driven Workforce Transformation with Pandemic Acceleration and Ethical Governance," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/IJSREM46681

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Publication Date

2/4/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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