Year: 2024
Type: article
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.
Author: Shankar Subramanian Iyer
Institution: Westford University College
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4403045674