What Is Artificial Intelligence?

Artificial Intelligence (AI) refers to the development of computer systems capable of performing tasks that typically require human intelligence. These tasks include understanding language, recognizing patterns, making decisions, and solving problems.

The concept of AI dates back to the 1950s, when mathematician Alan Turing proposed the famous "Turing Test" — a benchmark for machine intelligence. Early AI systems relied on hand-coded rules, but modern AI uses statistical learning from vast datasets.

Three Types of AI

Narrow AI (Weak AI) is designed for a specific task — like playing chess, translating languages, or recognizing faces. This is the AI we interact with today. General AI (Strong AI) would perform any intellectual task a human can — this remains theoretical. Superintelligent AI would surpass human intelligence across all domains — a concept explored in science fiction and long-term research.

How Modern AI Works

Today's most powerful AI systems are built on machine learning — algorithms that improve automatically through experience. A subset called deep learning uses neural networks with many layers to process complex data like images, audio, and text. Large Language Models (LLMs) like GPT-4 are trained on trillions of words to understand and generate human language.

Understanding what AI is — and what it isn't — is the essential first step in your learning journey.