Keyword: «chatgpt»

ChatGPT (Generative Pre-trained Transformer) is artificial intelligence that can answer any user's question in the manner of a constructed text. It is already widespread and popular with most students. ChatGPT is able to write dissertations, pass medical tests or even make court decisions. However, it is worth noting that the appearance of this chatbot shocked the academic and university world: there was a scandal in one of the Russian universities in February 2023 because of a graduate qualification work written by ChatGPT neural network. The relevance of this research is due to the fact that this chatbot simultaneously attracts and worries the world pedagogical community by raising some ethical questions. Can ChatGPT clarify complex concepts and structure ideas in addition to creating smart mentors and teaching assistants? Is there any risk to create unoriginal, inaccurate or misleading content, as well as decrease creativity and skills? Will this tool be able to support pedagogical practice and successful studies, or will it endanger the fundamental education? What are the ways to reduce the risks by using ChatGPT in education? The authors of this research answered these questions. The scientific merit of the work is to consider trends in the development of artificial intelligence technologies in education, as well as possible scenarios for the application and impact of ChatGPT. Today, there are no clear rules in educational institutions regarding the use of artificial intelligence for educational purposes. The academic novelty of the study is that the authors identified and described the negative and positive aspects of using ChatGPT in education, and also formulated certain conditions to use painlessly the text generator in training. The methodological basis of the study is the analysis of Russian and foreign scientific literature on the development of artificial intelligence, in general, and the use of ChatGPT, in particular, as well as the synthesis and generalization of the results obtained.

The article analyzes the advantages and disadvantages of using neural networks as part of a marketing course. Several examples of the use of artificial intelligence by students to solve marketing problems are given. The main conclusion is that the integration of neural networks into the educational process can significantly enrich student learning, improve understanding of complex topics and increase educational effectiveness, provided that the assessment system is modified.

The relevance of the study is due to the demand for introducing an algorithm devel-oped on the basis of artificial intelligence, ChatGPT, into the modern translation pro-cess. The purpose of the study is to consider the prospects for using a natural language processing algorithm in the context of the modern translation process. The article provides an analysis of the operation of the ChatGPT model and the effectiveness of its use in practice, which includes an assessment of the advantages and disadvantages that influence the subsequent expansion of the scope of its application in translation activities. As a result, it was found that ChatGPT as a translation tool brings significant benefits in terms of professional translation due to its ability to analyze context and create phrases taking into account given parameters. It is especially noted that this algorithm today is the most striking example of the use of artificial intelligence as an auxiliary tool on a level with other types of translation programs, since it provides prompt and high-quality access to translations and information, as demonstrated by examples in the article.

The use of artificial intelligence technologies and neural networks for educational purposes is a current trend. Since the launch of the Chat-GPT chatbot in November 2022 by OpenAI, which is a large language model as a type of generative artificial intelligence, educational researchers, psychologists and representatives of other fields of humanities and natural sciences from different countries have turned to the analysis of technological functions, didactic potential, advantages, disadvantages and risks of its practical application. The number of studies on this topic is steadily increasing every year. The aim of the publication is to identify pedagogical, linguodidactic and psychological conditions for the effective and safe use of Chat-GPT in the higher education system. The leading methodological approaches that the authors relied on are a systemic approach, an express review and critical analysis of scientific sources, as well as elements of bibliometric analysis. 150 publications of Russian and foreign authors covering a variety of issues and the scale of use of this chatbot in the field of education gave the material for the review. As a result, the strengths and weaknesses, opportunities and threats of using Chat-GPT as an educational technology were identified. The novelty of the study lies in the fact that for the first time, based on the analysis of a large volume of the latest scientific sources (2023-2024), the opinions of foreign and Russian educators regarding the risks of using neural networks in education were systematized, and recommendations were proposed for optimizing educational activities through the use of chatbots with generative artificial intelligence in university practice. The theoretical significance of the study lies in the generalization and classification of key problems associated with the implementation and testing of Chat-GPT in the educational process, as well as in the description of a number of significant pedagogical, linguodidactic and psychological factors that can prevent or eliminate the negative consequences of using chatbots and other neural networks in higher education. From a practical point of view, the article is of interest to educational researchers and representatives of the management level in the field of education, as well as to a wide pedagogical and academic audience interested in the implementation of the latest information and communication technologies and the promotion of the digital transformation of education and science.