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Saturday, April 1, 2023

What is artificial intelligence and how does it affect trust?


Learning, reasoning or solving problems are some of the characteristics of man. Today, thanks to artificial intelligence, there are computer applications suitable for performing such tasks. The speed of this technology brings with it a wealth of opportunities in different areas. In the banking sector it can be used to improve customer service, optimize credit approval processes or prevent delinquency, among other applications. In the same way, it is appropriate to identify the numerous challenges of artificial intelligence.

A few years ago, artificial intelligence (AI) was very much seen as the future. But now it is common to find tools and applications from AI algorithms in different fields of daily life and for different purposes: as generative content generative (which are generative AI and developed in programs like Chat GPT, Microsoft or Bard, cf. Google); computers playing chess and capable of beating humans; personal digital assistants, navigation indicating the best route and thousands of other examples.

More broadly, artificial intelligence refers to the development of systems capable of learning, planning or solving problems in a similar way that humans do. For an electronic device or software to have artificial intelligence, data and algorithms are needed to make decisions. It can be received through the Internet, large information applications or directly connecting with other devices to exchange information. On the other hand, the second series of instructions, by which they are programmed, to have behaviors or forms, according to which they receive various data.

The growth of artificial intelligence is mainly driven by disruptive technologies such as machine learning, deep learning, big data or quantitative computing. What differentiates AI from ordinary software is that it can improve its processes autonomously. That is, it learns from works done in the past without the need for human intervention. This feature is commonly used in machine learning or machine learning, in English.

Imagine you have a robot vacuum cleaner. The goal is to go through all the rooms of your house every day guided by the paper that he made and saved with his integrated navigation system on the first day (past work). But you decide to move some stuff around. The robot then starts bumping into them and automatically activates its browser to update the map (it decides what information it receives). This way, next time, you won’t stumble because you could think of a new way.

World Nation News Desk
World Nation News Deskhttps://worldnationnews.com/
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