• Dr. Namita Sinha

Artificial Intelligence (AI) has turned out to be one of the most revolutionary technologies of the 21st century, transforming industries, economies, and societies. Current trends in AI are centered on the development of machine learning techniques, natural language processing, computer vision, and generative AI systems with the ability to execute creative as well as analytical processes. The trend of increasing AI usage in healthcare, education, business, and governance identifies its potential to improve productivity, decision-making, and accessibility. But these developments also pose fundamental questions about ethics, privacy, job losses, and security threats. Future prospects envision AI continuing to transform the global workforce, speeding up scientific discovery, and affecting human conduct through smart systems. Ethical AI development, clear policies, and global cooperation will be critical to reconcile innovation with moral protections. This paper critically assesses the latest trends in AI, including generative AI models, autonomous systems, and AI in big data analytics, and discusses future implications such as prospects for sustainable growth and challenges such as algorithmic bias and socio-economic inequality. The argument is that the path of AI will be determined by how well humanity treats these challenges and utilizes the technology for sustainable and inclusive development.

Machine Learning, Artificial Intelligence, Generative AI, Ethics, Future Implications

"ARTIFICIAL INTELLIGENCE: RECENT TRENDS AND FUTURE IMPLICATIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 10, page no.d216-d220, October-2025, Available :http://www.jetir.org/papers/JETIR2510331.pdf

"ARTIFICIAL INTELLIGENCE: RECENT TRENDS AND FUTURE IMPLICATIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 10, page no. ppd216-d220, October-2025, Available at : http://www.jetir.org/papers/JETIR2510331.pdf