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
- Shankar Subramanian Iyer
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