Scientific Ethics and Integrity in the Context of Artificial Intelligence

Abstract

The article examines the issue of the active implementation of generative artificial intelligence in scientific and research activities. It explores the advantages and risks of artificial intelligence in carrying out research tasks by scientists and analyses the attitudes of young researchers toward the use of AI. It is noted that the application of AI tools in scientific research requires a clear definition of new requirements for researchers and their scientific contributions, as well as the adjustment and supplementation of scientific ethics norms. Furthermore, the development of a new institutional policy on academic integrity is necessary at both the state and higher education institution levels. In an era where AI tools such as ChatGPT, Gemini, and Copilot are widely used to process large datasets, generate text, and assist in the design of scholarly publications, new ethical challenges emerge that require reflection and adaptation of existing academic norms. The study analyses attitudes of young researchers toward the use of AI in the preparation of academic texts and investigates the implications of AI-generated content for the principles of academic integrity, such as originality, transparency, and authorship. Methodologically, the research is grounded in both theoretical approaches (analysis, synthesis, classification, generalisation) and empirical data collected through a questionnaire distributed among postgraduate students majoring in Educational Sciences at Borys Grinchenko Kyiv Metropolitan University. Findings reveal that while a significant portion of respondents actively use AI tools for information retrieval, idea generation, and data visualization, they remain cautious about relying on AI for full-text production. Furthermore, concerns were raised regarding the potential for AI to contribute to unintentional plagiarism, data fabrication, and erosion of individual accountability. The article highlights the necessity of revising national and institutional ethical codes to include clear guidelines on responsible AI use in research. It also emphasizes the importance of fostering critical thinking, human oversight, and ethical transparency when incorporating AI technologies. In this context, the concept of academic integrity is redefined not only as adherence to existing values — honesty, trust, fairness, respect, responsibility, and courage — but also as the ability to navigate emerging technologies ethically. The paper concludes by recommending policy updates, educational initiatives, and the creation of regulatory frameworks that address the ethical dimensions of AI-assisted research. The article attempts to develop recommendations and principles for the use of generative AI in education and research activities and highlights the neeneed for the establishment of a legal framework in Ukraine to regulate the use of generative artificial intelligence.

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