The adoption of new technological disruptions requires a process and a certain time. New advances are acquired with increasing speed.
Just a few years ago, Artificial Intelligence (AI) seemed like a futuristic affair that could hardly alter our daily lives in the short term.
What is Artificial Intelligence?
It seems to many of us that the concept of ‘Artificial Intelligence’ may be something futuristic.
However, we see it already present in our day today. AI could be considered one of the most important technological revolutions in recent times.
The large amount of data that we have, the increase in computing capacity, advances in technology and the increased need for digitization by companies make it play a very important role in today’s society.
In this new technological era, companies and developers use the concepts of Artificial Intelligence, Machine Learning (ML) and Deep Learning (DL).
Still, they generally do so concisely and mix the terms. It is important to know the differences between these concepts to know what techniques they use and the properties related to them.
How does Artificial Intelligence work?
Artificial intelligence (AI) is a series of investigations and methods capable of giving technology the appearance of intelligence.
There is a lot of debate about what artificial intelligence is and what it is not since there is a fine line between a system that gives the answer it has been told to give and the one that has been told how to solve it.
When we talk about artificial intelligence, we are not talking about identifying new knowledge for which there is almost no data or using it in applications where we need total accuracy, but about going through a large amount of data and using static data analysis to show correlations.
Suppose we do not include more information than they contain in the artificial intelligence models that exist and are already created.
In that case, they will not extrapolate the information to cover new variables. Likewise, it cannot transform this information into a custom action without external input or a new design.
Importance of Artificial Intelligence (AI)
There is a tendency to think that machines are more efficient than humans, and these can be operational 24/7 without the need to sleep or take breaks.
This feature allows us to trust its performance in certain situations where a human would be affected by fatigue. In addition, in the event of any problem, the integrated notification systems can keep us informed of what is happening at all times.
This ability of systems to work is a good example of their importance and the benefit they can achieve.
Thanks to the computing power that exists today, a system can process large amounts of data in a matter of seconds, perform analysis and make decisions based on that data.
If a human performs these tasks, the time it would take would be much longer, and in the long run, the human would end up making a higher percentage of errors. Adding all these characteristics, we can see that intelligent systems allow us to optimize and improve tasks so that costs and time are reduced.
So it is very important to understand that although artificial intelligence is very interesting and a new area of technology that we can use for many advances, it can only replicate conditions that already exist in our society, so it cannot be ethical.
Just as artificial intelligence cannot be ethical, it cannot think creatively, empathize, or use logical reasoning to solve problems.