Abstract: Generative Artificial Intelligence (AI) represents one of the most significant breakthroughs in modern computer science. It enables machines to create original content—text, images, audio, video, and even code—that resembles human creativity. Over the past few years, rapid advancements in deep learning architectures have turned generative models into tools of automation, innovation, and exploration.
This paper explores how generative AI is revolutionizing industries such as education, healthcare, entertainment, and business analytics. Furthermore, it examines the ethical, social, and technical challenges associated with its implementation. The paper concludes that the long-term sustainability of generative AI depends on transparency, accountability, and the establishment of strict ethical frameworks.
Keywords: Generative AI, Deep Learning, Machine Learning, Automation, Ethics, Innovation, Creativity
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DOI:
10.17148/IJARCCE.2025.141125
[1] Mr. Sumit Shankar Bansode, Miss. Rajeshwari Nitin Ahire, Dr. Taware G.G, Dr. Bere S.S, "Generative Artificial Intelligence: Opportunities and Challenges," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.141125
