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Abstract: Artificial intelligence is a fast-expanding subject. The aim of artificial intelligence is to use machine learning and algorithms to build intelligent computers that have human-like thought and behavior. Statistics plays a pivotal role in the development and advancement of Artificial Intelligence. Statistics is a branch of science which deals with study of Collection, Presentation, Analysis and Interpretation of data. Statistical techniques enhance the reliability of Artificial intelligence models and ensure informed decision-making. Combining statistical approaches with Artificial intelligence not only tackles practical issues like bias prevention, uncertainty quantification, and ethical considerations, but also enriches the foundations of theory. This paper aims to investigate the significance of statistics in the field of artificial intelligence. The paper aims to explore the theoretical foundations of Artificial intelligence and Statistics, the statistical methods used in Artificial intelligence, the applications of Statistics in Artificial intelligence, the key points including Statistics in Artificial intelligence, the challenges and limitations, and the prospective path.
Ashwini Kale (Sat,) studied this question.