The Future of Work: A Human-centric Approach to AI, Robotics, and Cloud Computing

This study investigates the impact of artificial intelligence (AI), robotics, and cloud computing on the future of work, focusing on adoption trends, productivity gains, and ethical challenges. Using a mixed-method approach, data were sourced from the OECD AI Policy Observatory, Pew Research Center, and European Union Open Data Portal. Quantitative analysis included K-Means clustering of industries based on technology adoption, with high adopters like North America and Europe leading in cloud computing (65.87%), and Africa showing stronger AI adoption (63.02%). The analysis also highlighted a 14.5% productivity increase in manufacturing, but a 19.3% risk of job displacement. Sentiment analysis revealed that 75% of public sentiment on algorithmic bias was negative, correlating strongly (0.74) with reported violations. The study affirms the need for improved AI governance and stronger GDPR compliance to address ethical challenges, while prioritizing human-centric strategies that ensure inclusive and sustainable outcomes for the workforce.

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Publication Details

Journal
Journal of Engineering Research and Reports
Published
2024-10-28
DOI
https://doi.org/10.9734/jerr/2024/v26i111315
Citations
21
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
7.33
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article

The Future of Work: A Human-centric Approach to AI, Robotics, and Cloud Computing

Oluwaseun Oladeji Olaniyi, Omobolaji Olufunmilayo Olateju, Anthony Obulor Olisa, Michael Olayinka Gbadebo et al.
21 citations
Journal of Engineering Research and Reports
Digital Transformation in Industry
7.33
article

The Future of Work: A Human-centric Approach to AI, Robotics, and Cloud Computing

Oluwaseun Oladeji Olaniyi, Omobolaji Olufunmilayo Olateju, Anthony Obulor Olisa, Michael Olayinka Gbadebo, Oluwatosin Selesi-Aina, Nseabasi Edet Obot
article en
21 citations

Abstract

This study investigates the impact of artificial intelligence (AI), robotics, and cloud computing on the future of work, focusing on adoption trends, productivity gains, and ethical challenges. Using a mixed-method approach, data were sourced from the OECD AI Policy Observatory, Pew Research Center, and European Union Open Data Portal. Quantitative analysis included K-Means clustering of industries based on technology adoption, with high adopters like North America and Europe leading in cloud computing (65.87%), and Africa showing stronger AI adoption (63.02%). The analysis also highlighted a 14.5% productivity increase in manufacturing, but a 19.3% risk of job displacement. Sentiment analysis revealed that 75% of public sentiment on algorithmic bias was negative, correlating strongly (0.74) with reported violations. The study affirms the need for improved AI governance and stronger GDPR compliance to address ethical challenges, while prioritizing human-centric strategies that ensure inclusive and sustainable outcomes for the workforce.

Journal of Engineering Research and ReportsVol. 26(11)
University of Port Harcourt (NG), University of Ibadan (NG), University of Lagos (NG), University of the Cumberlands (US), Cumberland University (US), Rivers State University (NG)
Decent work and economic growth
Openalex Percentile: Top 3%
Digital Transformation in Industry
7.33
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