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Algorithmic Conscience: An In-Depth Inquiry into Ethical Dilemmas in Artificial Intelligence

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  • Mohammed Yaseer Nazeer

    (North South University, Bangladesh)

Abstract

Artificial Intelligence (AI) stands at the forefront of technological innovation, promising to reshape industries and improve human lives. However, as AI technologies proliferate, so do the ethical dilemmas they pose. This paper presents a comprehensive review of the ethical considerations surrounding AI, delving into nuanced discussions on privacy, bias, job displacement, autonomous decision-making, and accountability. Drawing on an extensive body of literature, industry reports, and real-world examples, this review elucidates the intricate interplay between technological advancement and societal values. Privacy concerns loom large in the era of AI, as algorithms increasingly rely on vast troves of personal data to fuel their decision-making processes. From social media platforms to healthcare systems, the collection and analysis of sensitive information raise profound questions about consent, data ownership, and individual autonomy. For instance, a study by Acquisti and Grossklags (2006) found that individuals are often unaware of the extent to which their personal data is being used and shared, highlighting the need for robust privacy protections in AI systems.

Suggested Citation

  • Mohammed Yaseer Nazeer, 2024. "Algorithmic Conscience: An In-Depth Inquiry into Ethical Dilemmas in Artificial Intelligence," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(5), pages 725-732, May.
    • Handle: RePEc:bcp:journl:v:8:y:2024:i:5:p:725-732
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    References listed on IDEAS

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    1. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
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