Journal of Advanced Robotics, Autonomous Systems and Human-Machine Interaction
Generative AI: Impact on Societyâs Growth
Abstract
Diya Nirankari
Generative Artificial Intelligence (AI) represents one of the most transformative technological innovations of the 21st century. Unlike traditional algorithms, generative AI systems are not limited to classification or prediction tasks—they create new content in the form of text, images, software code, music, and even scientific hypotheses. This paper critically examines the societal implications of generative AI through an interdisciplinary Open Forum approach, focusing on its influence on economic growth, education, healthcare, cultural production, and governance. By integrating ethical theory frameworks—including utilitarianism, deontology, Rawlsian justice, and virtue ethics—this study evaluates the moral legitimacy of AI applications. Case studies are drawn from education (AI tutors in South Korea and accessibility gaps in Africa), healthcare (protein folding, AI diagnostics), governance (deepfakes and elections), and cultural industries (AI-driven music and digital idols in K-pop). The discussion engages with existing academic debates surrounding AI ethics and governance, particularly issues of transparency, fairness, intellectual property, misinformation, and global inequality. Visual data analysis complements qualitative research, using charts on GDP contributions, adoption rates, investment growth, education impacts, and ethical concern severity. The paper argues that while generative AI presents extraordinary opportunities for inclusive growth and innovation, it also raises pressing challenges that require proactive governance, ethical safeguards, and global cooperation. The conclusion emphasizes that the trajectory of generative AI must be shaped by societal values, equitable access, and accountable institutions to ensure its benefits are widely distributed.