The history of artificial intelligence (AI) is fascinating, tracing back to the first half of the 20th century when science fiction began to familiarize the world with the concept of artificially intelligent robots. Figures like the "heartless" Tin Man from The Wizard of Oz and the humanoid robot impersonating Maria in Metropolis marked the beginning of this fascination. However, it wasn't until the 1950s that the idea of AI began to take shape in the minds of scientists, mathematicians, and philosophers, with Alan Turing being one of the pioneers by proposing that machines, just like humans, could use available information and reason to solve problems and make decisions.

The first practical demonstration of AI was presented at the Dartmouth conference in 1956, through the Logic Theorist, considered the first artificial intelligence program. This event catalyzed AI research for the next twenty years, leading to significant advancements such as the General Problem Solver and ELIZA, and convincing government agencies like DARPA to fund AI research.

Despite a period of stagnation due to the lack of computational power and funding in the 1970s and 1980s, AI experienced a renaissance thanks to the expansion of the algorithmic toolkit and an increase in funding. The introduction of deep learning techniques and expert systems opened new doors for AI application, culminating in achievements like IBM's Deep Blue defeating the world chess champion Gary Kasparov and the development of speech recognition software.

We currently live in the "big data" era, where the ability to collect and process vast amounts of information has led to significant advances in various industries thanks to AI. Looking forward, the expectation is that AI will continue to integrate into our society, eventually leading us to ethical and policy debates about its application and development.