When Was Artificial Intelligence (AI) Invented?

Artificial Intelligence, commonly referred to as AI, is a branch of computer science that aims to create machines capable of performing tasks that would typically require human intelligence. The concept of AI has been around for centuries, but the history of AI can be traced back to the 1950s when the term “artificial intelligence” was first coined by John McCarthy.

The Beginning: 1950s

In 1956, McCarthy, a computer scientist, mathematician, and cognitive scientist, organized a conference at Dartmouth College where he and a group of researchers discussed the possibility of creating “thinking machines.”

“The science and engineering of making intelligent machines.”

John McCarty

This conference marked the official start of the field of AI, and it was at this conference that the term “Artificial Intelligence” was coined.

Early Developments in AI

After the Dartmouth conference, AI research began to gain momentum.

The field of AI was mainly focused on creating machines that could perform tasks that typically required human intelligence such as problem-solving and decision-making.

Researchers in the field of AI developed early AI programs and simulations that attempted to mimic human intelligence.

Advancements in the 1960s-1980s

In the 1960s, AI researchers focused on creating “expert systems“, which were designed to mimic the decision-making abilities of human experts in specific fields such as medicine and engineering.

These systems were able to make decisions based on a set of predefined rules and knowledge. In the 1970s and 1980s, AI research shifted towards creating “knowledge-based systems,” which used large amounts of data to make decisions.

These systems were able to make decisions based on the data they were provided with and were considered a significant advancement in the field of AI.

The advent of “machine learning” in the 1990s

The 1990s saw the advent of “machine learning“, which involved the use of algorithms to enable machines to learn from data, without being explicitly programmed.

Machine learning algorithms can learn from data and improve their performance over time.

This development has led to the creation of technologies such as self-driving cars and virtual assistants, which can perform tasks that were previously thought to be exclusive to humans.

Today, machine learning is one of the most active areas of AI research and has led to many advancements in the field of AI.

The current state of AI

Currently, AI research is focused on creating more advanced algorithms and models that can handle more complex tasks.

Researchers are also working on making AI systems more robust and reliable.

Additionally, the field of AI is also focusing on creating more human-like AI systems, known as General Artificial Intelligence (AGI).


It is important to note that the field of AI is constantly evolving, and new developments are being made all the time.

As such, it can be difficult to pinpoint a specific date when AI was “invented”.

However, it is clear that the concept of AI has been around for decades and has undergone significant advancements over time.

The term “Artificial Intelligence” was first coined by John McCarthy in 1956. The field of AI has undergone significant advancements since then, with the most recent being “machine learning” which is one of the most active areas of AI research today.

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