Big data and AI in employment: The dual challenge of workforce replacement and protecting customer privacy in biometric data usage
1 Department of Electrical & Electronics Engineering, University of Ibadan, Ibadan, Nigeria.
2 Department of Procurement, Clarissa Dynamic Links Ltd, Makurdi.
3 College of Architecture Construction and Planning, Department of Architecture, The University of Texas at San Antonio, Texas, USA.
4 C.T. Bauer College of Business, Department of Decision and Information Sciences, University of Houston, Texas, USA.
5 Department of Public Health, Kogi State Ministry of Health, Lokoja, Kogi State, Nigeria.
6 Production Department, Von Food and Farms Limited, Nimo, Anambra, Nigeria.
Research Article
Global Journal of Engineering and Technology Advances, 2024, 19(02), 089–106.
Article DOI: 10.30574/gjeta.2024.19.2.0080
Publication history:
Received on 04 April 2024; revised on 12 May 2024; accepted on 14 May 2024
Abstract:
The integration of Artificial Intelligence (AI) and Big Data is ushering in profound transformations across various industries, with biometric data usage standing out due to its deep implications for workforce dynamics and customer privacy. This review article critically examines the dual challenges presented by AI-driven automation and the extensive use of biometric data analytics, focusing on the resultant job displacement and escalating privacy concerns. Biometric technologies such as facial recognition, fingerprint identification, and voice analysis are increasingly deployed across sectors including finance, healthcare, and retail. These technologies aim to enhance security measures, improve user experience, and optimize operational efficiencies. However, they also bring to light substantial ethical dilemmas, particularly concerning the privacy of individuals and the security of the data being collected. The pervasive collection and analysis of biometric data can lead to invasive surveillance and profiling, exacerbating risks to personal privacy. Moreover, the use of AI in automating tasks that were traditionally performed by human workers is leading to significant shifts in employment structures. While AI can increase efficiency and reduce costs, it also raises the specter of widespread job displacement. This potential for automation-driven unemployment is especially pronounced in sectors that heavily utilize routine, repetitive tasks, posing critical socio-economic challenges. This article also explores the regulatory and technological frameworks currently in place, and those that are needed to address these challenges. The effectiveness of existing data protection laws, such as the General Data Protection Regulation (GDPR) in the European Union, and the California Consumer Privacy Act (CCPA) in the United States, is assessed in the context of AI and biometric data. We discuss the role of policy in shaping the ethical use of AI and protecting workers, along with the technological safeguards that could be implemented to secure biometric data and ensure privacy. By synthesizing insights from recent research, case studies, and expert analyses, this article provides a comprehensive overview of how AI and Big Data are reshaping the landscape of work and privacy. It critically discusses the need for a balanced approach that harnesses the benefits of technological advancements while safeguarding individual rights and employment security.
Keywords:
Big Data; Artificial Intelligence; Workforce Replacement; Biometric Data Usage.
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0