Prospects of development of artificial intelligence in the context of information security
DOI:
https://doi.org/10.18372/2225-5036.26.14965Keywords:
artificial intelligence, machine learning, information security, machine learning systems, humansAbstract
Artificial intelligence is a concept in which machines are capable of performing some intellectual activity that is inherent in humans or animals. In other words, this concept includes any device that has the ability to perceive its environment and take actions that increase the chance of successfully achieving goals. However, despite ongoing progress in computer processing speed and memory, there are still no programs that can match human flexibility in broader areas or in tasks that require extensive daily knowledge. On the other hand, some programs have reached the level of productivity of human experts and professionals in performing certain specific tasks, so that artificial intelligence in this limited sense can be found in such diverse applications as medical diagnostics, computer search engines and voice or handwriting recognition. The purpose of this work is, in fact, to determine the positive and negative aspects of the use of artificial intelligence systems in the field of information security. It is determined that such systems have an important role in the current and future data security, as well as a number of shortcomings of such systems for their future consideration. The paper discusses that artificial intelligence was developed by studying how the human brain thinks, learns, and makes decisions, and then applies these biological mechanisms to computers. Unlike classical computing, where encoders provide accurate inputs, outputs, and logic, artificial intelligence is based on giving the machine input and the desired result, allowing the machine to develop its own path to achieve its goal. Artificial intelligence is a technology that transforms all spheres of life. It is a broad tool that allows people to rethink how we integrate information, analyze data, and use the results to improve decision-making. They change the way we look for information, how we communicate with each other, even how we behave. This transformation affects many areas, including education. The main purpose of this article is to review the solution of problems using artificial technologies. In the presented literature review, we considered four categories: individual educational content, innovative teaching methods, advanced assessment technology, communication between student and teacher. Having considered publications on this topic, we present here a possible picture of how artificial intelligence will change the landscape of education. Starting with a brief history of artificial intelligence, this article provides an overview of this technology.
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