Textual Intelligence

17Responsible AI: Ethical Considerations in Generative AI

Kamal Kumar* and Poonam

CDL State Institute of Engineering and Technology, Panniwala Mota, Sirsa (Haryana), India

Abstract

Recent developments in generative artificial intelligence (AI) have enabled ground-breaking breakthroughs in the autonomous synthesis of realistic content, including text, music, video, and graphics. However, recent developments in generative models—such as autoregressive techniques, adversarial networks, and diffusion models—have also raised important moral issues with regard to appropriate constraints. This study delves closely into a range of subjects related to generative artificial intelligence systems, including popular techniques, capabilities, and beneficial use cases, along with increasing risks and challenges. In-depth research is done on the issues of innate societal biases, false information, permission violations, attribution issues, and possible financial and psychological consequences. The paper highlights the intricate governance trade-offs associated with controlling generative technologies in the context of rapid innovation. In order to promote the equitable advancement of generative artificial intelligence through the implementation of comprehensive accountability frameworks, participatory discourse, and flexible, cooperation-based policy approaches that are centered on trust, the paper concludes with specific recommendations that are geared towards stakeholders across technology ...