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 reach conclusions based on the information), and self-correction. AI can be categorized into several types, such as:
Narrow AI: Also known as weak AI, this type is designed and trained for specific tasks. Examples include virtual assistants like Siri or Alexa, recommendation systems on platforms like Netflix, and image recognition software.
General AI: Also referred to as strong AI, this form aims to possess the ability to understand, learn, and apply knowledge in a way that is indistinguishable from a human being. General AI remains largely theoretical and has not been fully realized yet.
Superintelligent AI: This hypothetical form of AI would surpass human intelligence in virtually all fields, including creativity and social skills. Discussions surrounding superintelligent AI often involve philosophical and ethical considerations, along with potential risks and benefits.

AI technologies rely on various techniques and methods, such as Machine Learning, where algorithms learn from large sets of data, and neural networks that mimic the human brain’s structure. Applications of AI span across various industries, including healthcare, finance, automotive, and entertainment, impacting how businesses operate and enhancing everyday life. The development of AI raises significant ethical and social concerns, including issues of privacy, job displacement, and the need for transparent, fair algorithms.