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Investigating User Perceptions Of Ai Technology And Its Ethical Implications On Employment Dynamics And Bias

Author

Listed:
  • Saleh Ahmed Jalal Siam

    (American International University-Bangladesh)

  • Mubashshir Bin Mahbub

    (American International University-Bangladesh)

Abstract

The rapid advancement of Artificial Intelligence (AI) technology has catalyzed significant transformations across various sectors, notably impacting employment dynamics and raising concerns about bias and fairness. This qualitative research aims to delve into user perceptions regarding AI technology and its ethical implications on employment dynamics and bias. Through in-depth interviews and thematic analysis, this study explores the multifaceted dimensions of how users perceive AI’s impact on employment patterns, potential biases embedded within AI systems, and the ethical considerations surrounding its implementation. Findings suggest a complex interplay between technological advancements, societal values, and ethical dilemmas, underscoring the need for comprehensive policies and frameworks to address emerging challenges. By shedding light on user perspectives, this research contributes to a deeper understanding of the ethical implications of AI technology on employment dynamics and bias.

Suggested Citation

  • Saleh Ahmed Jalal Siam & Mubashshir Bin Mahbub, 2024. "Investigating User Perceptions Of Ai Technology And Its Ethical Implications On Employment Dynamics And Bias," Acta Informatica Malaysia (AIM), Zibeline International Publishing, vol. 8(1), pages 22-25, April.
    • Handle: RePEc:zib:zbnaim:v:8:y:2024:i:1:p:22-25
    DOI: 10.26480/aim.01.2024.22.25
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    References listed on IDEAS

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    1. Lee, Neil & Clarke, Stephen, 2019. "Do low-skilled workers gain from high-tech employment growth? High-technology multipliers, employment and wages in Britain," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    2. Dwivedi, Yogesh K. & Hughes, Laurie & Ismagilova, Elvira & Aarts, Gert & Coombs, Crispin & Crick, Tom & Duan, Yanqing & Dwivedi, Rohita & Edwards, John & Eirug, Aled & Galanos, Vassilis & Ilavarasan, , 2021. "Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy," International Journal of Information Management, Elsevier, vol. 57(C).
    3. Seamus McGuinness & Konstantinos Pouliakas & Paul Redmond, 2023. "Skills-displacing technological change and its impact on jobs: challenging technological alarmism?," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 32(3), pages 370-392, April.
    4. Michael R.M. Abrigo & Sang-Hyop Lee & Donghyun Park, 2018. "Human Capital Spending, Inequality, and Growth in Middle-Income Asia," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(6), pages 1285-1303, May.
    5. Jong-Wha Lee & Hanol Lee, 2018. "Human capital and income inequality," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 23(4), pages 554-583, October.
    6. Saori Shibata, 2020. "Gig Work and the Discourse of Autonomy: Fictitious Freedom in Japan’s Digital Economy," New Political Economy, Taylor & Francis Journals, vol. 25(4), pages 535-551, June.
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