What is Artificial Intelligence with Examples

Artifical intellegence

Artificial intelligence is a set of technologies designed to emulate properties or skills specific to the human intellect. The latest technological creations make us think about the destination of the world. In reality, from time to time, the technical-scientific discipline has triggered a great world revolution: artificial intelligence (AI).

While there is no accurate definition of what this means, artificial intelligence is the name of a range of technologies whose properties or capabilities were previously reserved exclusively for human intelligence. The term applies when a machine simulates the cognitive functions that humans associate with other human thoughts, such as B. learning or solving problems, etc.


  • What is artificial intelligence? History and origin
  • What are the categories of artificial intelligence?
  • What is conventional and computational artificial intelligence?
  • How does artificial intelligence work?
  • What is artificial intelligence used? Field and real-world applications
  • What are the risks of artificial intelligence?
  • What is artificial intelligence? History and source

In 1956, scientists Allen Newell, Herbert Simon, Arthur Samuel, and John McCarthy met at the Dartmouth meeting for a meeting that marked the creation of the discipline of artificial intelligence. They agreed that it would be easy to give machines the ability to think.

If we now return to the Greeks, the basic ideas about artificial intelligence lead us to Aristotle, who was the first to define a set of rules describing part of the workings of the mind to draw rational inferences. Sometime later, Ctesibio came from Alexandria to build the first self-guided machine rationally. Still, without justification in the late 1950s and early 1960s, Artificial Intelligence saw one of its primes when devices managed to play checkers, “learn” and solve English better than many people. Algebraic and logical problems.

Then the professor of computer science at Stanford University, Terry Winograd, developed the SHRDLU system between 1968 and 1970, with which a robot moving in a world full of blocks could be queried and commanded.


Already in the new century and after significant technological advances, multinational IBM has developed a supercomputer called Watson, which has awarded three of its best champions three times with the Jeopardy game (competition for television knowledge).

At present, artificial intelligence has revolutionized not only the business world but also the social field. Applications range from quickly detecting cancer to fighting deforestation in the Amazon.

What are the categories of artificial intelligence?

In their book “Artificial Intelligence: A Current Approach,” Stuart Russell and Peter Norvig distinguish four types of artificial intelligence. Systems That Think Like Humans: These are systems that try to mimic human thinking in terms of decision making, problem-solving, and learning.

Systems that act like people: they try to act like people. In other words, they mimic human conduct. A model of this system is automation.

Systems that think sensibly: try to imitate the rational, logical thinking of humans; For example, studying the calculations that allow us to perceive, argue, and action.

Systems that act wisely: this system tries to imitate human behaviour rationally. It has to do with smart actions in artifices.

What is conventional and computational artificial intelligence?

Conventional artificial intelligence, known as symbolic deductive AI, is based on the formal and statistical analysis of human behaviour on various problems. It helps in making decisions while solving some problems and requires its proper functioning.

It facilitates complex decision making and offers a solution to a specific obstacle. This information also contains autonomy and can be regulated and controlled.

Meanwhile, the computational AI, known as sub-symbolic inductive AI, involves interactive development or learning. This learning is base on empirical data.

How does artificial intelligence work?

AI developed from algorithms. These are math learning skills. The data needed to train these processes is observable data that is publicly available or generated in some companies. This data repeats the process to learn.

What is AI used? Field and real applications

Artificial intelligence has been used in a variety of areas, such as B. in robotics, understanding and translating languages, learning words, etc.

The main and most essential areas in which we can see remarkable development in AIare:

  • Computing
  • Finances
  • Hospitals and medicine
  • Heavy industry
  • Customer service
  • transport
  • Games

What are the risks associated with AI?

Although AI has many benefits in some regions of life, some experts believe that it can create new risks.

The financial market is the most vulnerable because the ability to process large amounts of data from computers can empower those who control it, and it can allow them to dominate the financial world internationally.

Another problem is the lack of global regulation.

But perhaps the most worrying and problematic risk is job loss. A study published in China in 2015 found that nearly 50% of current professions will be completely redundant by 2025 if AI continues to transform businesses as they already do.

In this context, experts began to imagine where the limits lie or how to approach them to ensure the safeguard of humans with every use of AI. What Are The Risks That AI Involves?

While the presence of AI has made a lot of progress in some areas of life, some experts believe it can create new dangers.

The financial market is most at risk as the ability to process huge amounts of data from computers can empower those in control, allowing them to guide investments around the world. Another challenge is the lack of global self-regulation.

But perhaps the most worrying and difficult risk is job failure.

A study issued in 2015 in China reported that almost 50% of current careers would be entirely redundant in 2025 if AI continues to transform companies in the way it is already doing.

Experts have begun to visualize in each of the uses AI what the limits are or how they should address to ensure the protection of human beings is maintained.