Advantages and threats of artificial intelligence in the digital economy

Автор: Danilova L.G., Kostenko A.V., Panasenko K.I.

Журнал: Вестник Алтайской академии экономики и права @vestnik-aael

Рубрика: Экономические науки

Статья в выпуске: 3-2, 2025 года.

Бесплатный доступ

Artificial intelligence is a fundamental area of research activity, the focus of which is represented by the creation of intelligent agents. These systems are capable of performing tasks that previously seemed exclusively the domain of the human mind, such as information processing and analysis, learning, decision-making and recognition of language structures, using algorithms that are trained based on the data obtained. The growing complexity of neural networks that create works of art and write poetry illustrates the ubiquity of AI in all aspects of daily life. The future of AI is a multifaceted and promising horizon, generating both opportunities and significant challenges. On the one hand, technology is a catalyst for innovation, widely used in everyday applications from virtual assistants to complex analytical systems. However, the question of ethics also arises - from the creation of artificial consciousness to the possible loss of jobs due to automation of processes. The use of AI by intruders can pose a serious threat, which creates the need for enhanced security measures and ethical programming. Discussions on the control and supervision of developments in this area in order to minimize the misuse of technology are becoming relevant. The development of AI requires not only implementation in applied fields, but also close attention to its regulation and management in order to maximize its potential for the benefit of humanity. In this article, we aim to understand how the transformational processes taking place under the influence of artificial intelligence are changing various industries. In addition, we will discuss strategies aimed at maximizing the positive effects of these changes while minimizing the associated risks to society.

Еще

Artificial intelligence, automation, optimization, trend forecasting, risks

Короткий адрес: https://sciup.org/142244350

IDR: 142244350   |   DOI: 10.17513/vaael.4048

Статья научная