This paper explores the societal impacts of generative AI by examining the intertwined dimensions of policy, ethics, and human-machine collaboration. It aims to highlight the ethical challenges and policy considerations necessary to foster responsible AI development while ensuring equitable benefits across society. Emphasizing the need for interdisciplinary approaches, this study investigates how generative AI reshapes human roles and interactions, advocating for frameworks that promote transparency, accountability, and trust in AI systems. Ultimately, it seeks to inform strategies that support sustainable and human-centered AI integration in the modern era.
Habib et al. (Sat,) studied this question.