• Dr. Sabahuddin ahmad

Abstract: This paper presents a critical study on the language of Artificial Intelligence (AI), focusing on the exploration of its vocabulary. With an ever-expanding lexicon, understanding the nuances and evolution of AI terminology is crucial for researchers, practitioners, and educators. The study delves into historical overviews, trends, and patterns in AI vocabulary, alongside previous research on AI lexicon. Methodologically, data collection, lexical analysis techniques, and criteria for categorization are outlined. Categorization encompasses core concepts, emerging terms, domain-specific vocabulary, and jargon within AI discourse. Analysis reveals frequency distributions, semantic shifts, and cultural variations in vocabulary usage, emphasizing the language's impact on knowledge transmission and collaboration. Discussion highlights implications for research and practice, challenges in vocabulary standardization, and opportunities for interdisciplinary collaboration. Future directions include predicting trends, managing linguistic changes, and leveraging AI lexica in education. This paper contributes to understanding AI vocabulary, fostering effective communication, and advancing responsible AI development.

Key words: Algorithm, Automation, Clustering, Cognition, Data Mining, Deep Learning, Explainable AI (XAI), Fuzzy Logic, Genetic Algorithms, Meta-Learning, Neural Networks, Optimization, Robotics, Swarm Intelligence, Turing Test

" AI Lexica: Exploring the Vocabulary of Artificial Intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.i123-i137, April-2024, Available :http://www.jetir.org/papers/JETIR2404817.pdf

" AI Lexica: Exploring the Vocabulary of Artificial Intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppi123-i137, April-2024, Available at : http://www.jetir.org/papers/JETIR2404817.pdf