Light and Shadows of Generative AI for Individuals, Organizations and Society

Shankar Subramanian Iyer
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Shankar Subramanian Iyer: Westford University College, UAE

Biomedical Journal of Scientific & Technical Research, 2024, vol. 58, issue 5, 50824-50840

Abstract: The purpose of this paper is to explore the light and shadows of generative AI and its implications for individuals, organizations, and society. Generative AI, encompassing technologies such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), holds significant promise for creativity, innovation, and efficiency, yet it also raises concerns regarding ethics, privacy, and societal impact. Ultimately, exploring this topic enables stakeholders to harness the transformative potential of generative AI while mitigating its potential risks, thereby fostering a more equitable and sustainable future..

Keywords: Journals on Medical Drug and Therapeutics; Journals on Emergency Medicine; Physical Medicine and Rehabilitation; Journals on Infectious Diseases Addiction Science and Clinical Pathology; Open Access Clinical and Medical Journal; Journals on Biomedical Science; List of Open Access Medical Journal; Journals on Biomedical Engineering; Open Access Medical Journal; Biomedical Science Articles; Journal of Scientific and Technical Research (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:abf:journl:v:58:y:2024:i:5:p:50824-50840

DOI: 10.26717/BJSTR.2024.58.009203

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