ARTIFICIAL INTELLIGENCE AS A DIGITAL COLLEAGUE: OPPORTUNITIES, CHALLENGES, AND PROSPECTS IN EDUCATION

Authors

DOI:

https://doi.org/10.32999/ksu2413-1865/2025-111-6

Keywords:

artificial intelligence, digital colleague, academic integrity, digital competence, interdisciplinarity

Abstract

This article explores the integration of generative artificial intelligence (AI) into scientific and educational activities as a full-fledged “digital colleague.” Purpose.The primary aim of the study is to analyze the transformation of research practices under the influence of AI and to identify both the benefits and potential risks of human-AI collaboration. Methods.The methodological framework combines a systematic and comparative analysis of contemporary scholarly publications, case study methodology to examine specific applications of AI in academia, and the synthesis of international experiences in human-AI cooperation. This approach provides a comprehensive overview of emerging research cultures, in which algorithms function not only as tools for data processing but also as active participants in idea generation and intellectual exchange. Results. The findings demonstrate the significant advantages of AI integration in research, including enhanced scholarly productivity, acceleration of big data analysis, optimization of repetitive tasks, and expanded opportunities for interdisciplinary collaboration. However, the study also reveals critical risks, such as challenges to academic integrity, difficulties in attributing authorship, ethical dilemmas concerning responsibility, and the risk of overreliance on algorithms. Particular emphasis is placed on the necessity of strengthening researchers’ digital competence, as effective collaboration with AI depends on their ability to critically evaluate and refine AI-generated outputs. Conclusions. The study concludes that the concept of a “digital colleague” offers new horizons for advancing scientific inquiry, yet its successful implementation requires a balance between technological innovation and clear ethical and legal frameworks. A promising direction lies in the development of hybrid human-AI teams, capable of combining the analytical capacities of machines with the creative and critical thinking of humans. Such collaboration ensures not only research efficiency but also the preservation of the humanistic dimension of science.

Published

2025-09-30