Artificial Intelligence Myths, what’s true and what’s false?. The growing need to increase our daily productivity has led to the creation and evolution of Artificial Intelligence. And, like any other important technology, some misconceptions must be corrected, as well as urban legends and other myths that turn out to be false. In this article, we will try to shed some light on this issue.
The most widespread myths about Artificial Intelligence
Artificial Intelligence is simply an imitation of human intelligence reproduced by machines. One of its objectives is that the machines are capable of reasoning, and not only of extracting conclusions and logical hypotheses from diverse variables.
The products that use Artificial Intelligence are quite evident in the modern consumer market, and we find them in smartphones, computers, and IoT devices without going any further. A quite promising scenario is, however, industry and astronomy; for example, it has played a very important role in the discovery of the planet Kepler-90i in 2017 by NASA/Google, and in fact, it was the debut of this technology in astronomy.
However, misconceptions about AI have created some concern over the years, and many people think that the potential of AI is unlimited and that we could experience a situation like the one seen in the famous Terminator movies, with Skynet. Let’s see how much of this is a lie and what truths are in these beliefs and myths.
Machines will replace humans at work
This is one of the most controversial myths about Artificial Intelligence. It holds a notion that there is a competition between workers and machines, and surprisingly this is a myth that seems to be more popular among the younger population.
According to Fox Business, despite the more than 200,000 robots currently working in Amazon’s retail stores since 2019, its human hiring rate increased by 23% between 2019 and 2020, and in fact, continues to rise. Given this, what is the importance of robots? One obvious answer to this question is that companies are looking for ways to reduce the workload of their employees; not to replace them completely, as this is considered impossible.
In fact, the “collaboration” between humans and machines comes from very far away, and another example is found in courier companies, where an automated system catalogs packages by weight and size, with the machines taking care of transporting the heaviest packages automatically to free humans from this effort. So, in a practical sense this is more of an alliance than a replacement since as we mentioned before, no AI can replace a human being.
Artificial Intelligence will dominate the world
We must be careful to deal with this myth logically. While some notable AI experts have warned of the imminent dangers of a machine’s ability to reason, do we really understand their views?
The idea of creating machines that are smarter than men and women is controversial. People like Stephen Hawking and Nick Bilton believe that AI could get out of control in the future, increasing the fear of an imminent machine apocalypse as shown in many science fiction movies.
It is clear that Artificial Intelligence now influences decision making processes at the business level, astronomy, medicine, and pharmacy, but the fact is that it does not matter how well you “train” a machine (because in the end, its learning depends on the training it is given) since it cannot think for itself in the end.
This is a limitation of AI that will take many, many years to overcome, and in fact, there are many who believe that it is a barrier that will never be overcome. As such, most processes that use AI will always depend on a final verdict from individuals to make decisions.
Therefore, to think that the potential of AI can create superhumans or dominate the world is currently ridiculous and unthinkable. It makes more sense to portray AI as modern servers performing tasks that would be overwhelming to humans accurately and efficiently, but no more intelligently than we do.
AI and Machine Learning are the same
Another myth about Artificial Intelligence is to think that it is the same as Machine Learning, and although they are related terms, they are not the same. The origin of Artificial Intelligence and Machine Learning comes from the decade of 1950 (in fact the term Machine Learning was coined for the first time by Arthur Samuel, of IBM, in 1952) after developing satisfactorily a program able to play chess.
In short, AI is a machine capable of imitating human reasoning, while Machine Learning is a subset of AI where people “train” machines to recognize data-based patterns and make predictions, no more and no less.
Robots are the only products of Artificial Intelligence
Again, we owe this false myth to science fiction movies and series. Because of how they make this concept appear in our imagination, the words Artificial Intelligence make images of robots come to mind. However, AI applies to all spheres of technology. Beyond the concept of robotics, AI offers much more complex creations, such as the facial and fingerprint recognition system of smartphones, the “smart” devices that many people have in their homes, intelligent equipment for health care and business intelligence, etc.
Robotics is only one of the aspects that can depend on AI. In some cases, we can separate the term robotics to refer to machines capable of performing physical (and necessarily physical) tasks automatically, which is why robotics and AI are often used together as if they were the same thing.
In essence, robots do not necessarily have to be AI products, as they can sometimes be simply a combination of mechanical and electrical components (for example, the robotic arm on an assembly line that simply welds one component to another). The IA can influence how they are behaving these robots when it is applied, but a robot not necessarily has to be endowed with IA.
These are 5 of the myths on Artificial Intelligence more extended in actuality, and we hope this article has helped to dissipate some of the doubts or fears that could have in this respect.
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