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![[인공지능(AI)과 인간 지능은 무엇이 다른가? 작동 원리로 본 AI 가이드] 인공지능의 기본 원리는 결국 기계가 데이터를 통해 지식을 획득하고 지능적인 의사결정을 내리도록 훈련시키는 것이다.](http://www.ainet.link/data/ainet_link/bigimg/2026031441385598.png)
Understanding AI: Differences from Human Intelligence and Operating Principles
Core Concepts of AI and Its Everyday Applications
Artificial Intelligence (AI) is a technology that allows machines to perform tasks typically requiring human intelligence. It trains computer systems using algorithms and vast amounts of data, improving performance and prediction capabilities over time. In modern society, AI has become a core technology in various daily activities, including voice assistants, content recommendations on streaming services, and optimizing web search engine results.
AI System Learning and Decision-Making Process
AI systems learn by processing data, identifying patterns, and solving problems, but they do not think in the same way as humans. Instead, they derive knowledge from information by processing and analyzing extensive datasets. The learning and decision-making process of AI systems is broadly divided into two main stages. First, the data collection stage involves gathering information in various formats such as text, images, and audio, where the quality and quantity of data are crucial for determining learning precision. Second, the data preparation stage involves cleaning the collected data by removing errors, duplicates, or missing information, typically separating it into training and testing datasets to evaluate system performance.
*Source: AI넷 (2026-03-14)*
