Artificial Intelligence (AI) refers to the simulation of human intelligence processes by machines, particularly computer systems. These processes include learning (the acquisition of information and rules for using it), reasoning (the ability to use rules to reach approximate or definite conclusions), and self-correction. AI is broadly categorized into two types: narrow AI, which is designed to perform a narrow task (like facial recognition or internet searches), and general AI, which aims to understand and reason in a manner similar to human cognitive abilities across a wide range of tasks.

AI systems utilize various techniques, including Machine Learning (ML), where computers are trained on large data sets to recognize patterns and make decisions, and Deep Learning, which involves neural networks with multiple layers that can learn from vast quantities of data. Applications of AI are diverse, encompassing fields such as healthcare (for diagnostics and treatment recommendations), finance (for fraud detection and algorithmic trading), robotics, natural language processing (for applications like chatbots and language translation), and autonomous vehicles.

As AI technology continues to evolve, its implications raise ethical considerations, including concerns about privacy, job displacement, and decision-making transparency. Overall, AI has the potential to transform industries and improve efficiency, but it also challenges society to navigate the complexities that accompany its integration into everyday life.