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

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.

Authors

Publication Details

Journal
Biomedical Journal of Scientific & Technical Research
Published
2024-09-20
DOI
https://doi.org/10.26717/bjstr.2024.58.009203
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.53
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article

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

Shankar Subramanian Iyer
1 citations
Biomedical Journal of Scientific & Technical Research
Big Data and Business Intelligence
0.53
article

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

Shankar Subramanian Iyer
article en
1 citations

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.

Biomedical Journal of Scientific & Technical ResearchVol. 58(5)
Openalex Percentile: Top 26%
Big Data and Business Intelligence
0.53
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