The problem of using neural networks and artificial intelligence tools by university students: Ethical aspect

Background. The article is dedicated to the study of the problem of applied use of neural networks and related artificial intelligence tools by university students from the perspective of ethical dichotomy. The background of the research lies in the necessity to recognize the potential risks and opportunities associated with the use of AI in the educational process.

The purpose is to analyze the ethical aspects and implications of the use of neural networks by university students.

The materials and methods of the study include a review of existing scientific works and international experiences regarding the ethical regulation of AI tools in education has been conducted, alongside an examination of local interdictions.

The results of the study indicate that the application of neural networks in the educational process creates both opportunities and risks, including plagiarism and inequality in access to technology. In conclusion, the article emphasizes the necessity to develop ethical guidelines and regulations at both University and Governmental levels to enhance the effective application of new digital assistants in the educational processes, as well as integration of courses on the ethical use of neural networks and artificial intelligence tools into the curricula, which will prepare students for informed interactions with new technologies and help mitigate negative consequences.