AI systems learn and function by analyzing vast amounts of data using algorithms, particularly machine learning models, to identify patterns, make predictions, and automate tasks that traditionally require human intelligence, such as image recognition or language processing. This learning process involves collecting data, using algorithms to identify correlations, adjusting parameters based on outcomes, and continually adapting to new information to enhance performance over time.