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4 Myths About Artificial Intelligence You Should Not Believe

Every new technology that sees the light or that people hear about it starts misconceptions about it due to gossip and the transmission of conversations from one person to another, everything that is said or seen does not necessarily have to be true. Watching science fiction movies does not have to affect reality, it is not necessary that everything turns out In fiction into reality!

And our example today is one of the technologies around which many illogical myths revolve, namely the artificial intelligence that humans have created with their hands to serve humanity and facilitate life instead of making it difficult and complicated, and it is also possible that we depend on it more and more over time, so let’s take a look together at some of these myths that You must stop believing it.

A summary of the impact of artificial intelligence

Artificial intelligence (AI) is simply an imitation of human intelligence in machines, one of its goals is to raise the level of cognitive thinking in computers with greater accuracy and less bias. Artificial intelligence products are manifested in smartphones, computers and IoT devices, one of the promising scenarios is its use in industries and astronomy, where He played an important role in some studies and discoveries.

The capabilities of artificial intelligence raise a lot of misconceptions and fears over time, for some people think that it has a great negative impact on human life, ignoring all possible positives. If you have a great interest in this field, I invite you to read the article “What is artificial intelligence and how to start learning it”, Let us now turn to a critical look at some of these myths and search for the facts about them.

  1. Machines will replace humans at work

One of the most controversial myths carries the idea that there is competition between employees and machines, and surprisingly, this myth appears to be more common among young people, according to a survey conducted in 2019 by CNBC / SurveyMonkey that 37% of young people are concerned that artificial intelligence will replace them in Work, but what is the truth in it? Let’s take a look at some facts and figures.

According to Fox Business, despite the presence of more than 200,000 robots working in Amazon’s retail warehouses as of 2019, the rate of manpower employment jumped to 23% between 2019 and 2020, meaning that Amazon continues to hire, so what is the importance of robots then ?

The answer to this question is that companies around the world are constantly looking for ways to reduce the workload of their employees and not completely replace them as is often believed, for people and machines in many trades and industries to collaborate, such as the DHL mail delivery system where drones lift heavy parcels to reduce the load on delivery personnel. .

  1. Artificial intelligence will take over the entire world

The idea of ​​creating machines that are smarter and more powerful than men and women is a controversial idea, and the likes of Stephen Hawking and Nick Bilton believe that artificial intelligence can get out of human control in the future just as science fiction movies make things worse, as Tesla CEO Elon Musk asserted that it does not Foolishness must be committed and what we do should be controlled.

Although efficiency and accuracy are one of the strong points of artificial intelligence, it is still taken for granted that artificial intelligence can never reach the level of a person’s intuition and emotions, so their mysterious reversal which is illogical will be affected by what we make, and AI may fail much. Of things because he does not have what a person has.

  1. Artificial intelligence and machine learning are synonymous

Artificial intelligence and machine learning are sometimes equated, but these terms are not the same although they are interrelated. The origins of artificial intelligence and machine learning go back to the 1950s. Arthur Samuel of IBM coined the term “machine learning” in 1952 – after he succeeded in Develop a computer program to play checkers that has mastered all the previous stages.

However, the need to develop machines with artificial brains came into the spotlight in the late 1940’s, and because it was necessary to have a broader term for everything that a machine does, including learning, artificial intelligence became a discipline in 1956, as a result, the use of both terms synonymously is not Absolutely correct.

Machine learning is a process in which a machine learns by experience based on information that it has previously seen in the form of data, whether distinct or not, while on the other hand, artificial intelligence includes all processes, including machine learning, that led to the outcome that we know today.

  1. Robots are the only products of artificial intelligence

Given how the concept appears in our imaginations, every time the word artificial intelligence echoes, it is natural for robots to come to mind, yet artificial intelligence applies to all areas of technology, and if robots are the only products of artificial intelligence they will appear everywhere.

Besides the concept of robots, artificial intelligence offers more complex innovations, such as facial recognition system, fingerprints for smartphones, smart healthcare equipment, etc. are all artificial intelligence, so robots are only one aspect that may depend on artificial intelligence.

In some cases, we can separate the term robotics to mean machines that can automatically perform specific physical and complex tasks. For this reason, the term “robotics and artificial intelligence” is used together in some cases, but in essence, robots are not necessarily artificial intelligence products.

Sometimes robots may be just a combination of mechanical and electrical components, artificial intelligence can only affect how these robots behave when applied, but a robot can still exist independently of artificial intelligence.

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