Overview

Artificial intelligence (AI) has come a long way since its beginnings in the 1950s, when early researchers aimed to simulate human reasoning using logical rules and symbolic algorithms. This phase, known as symbolic AI, relied on explicit knowledge bases and was useful for well-defined tasks such as solving mathematical problems or playing chess.

Over time, new approaches emerged based on machine learning, where algorithms began to learn patterns from data instead of following preprogrammed rules. This led to major breakthroughs in areas like speech recognition, computer vision, and automatic translation.

In the past decade, AI has taken an exponential leap with the development of deep learning models and, more recently, generative models like ChatGPT. These models not only process information but can also generate text, images, music, and code, mimicking human language and creativity with remarkable fluency.

Today, AI is not just a technical tool but also a cultural, ethical, and educational phenomenon. Its evolution raises new questions about the role of humans in creation, thinking, and decision-making, opening a fertile field for critical reflection and responsible innovation.