Generative Artificial Intelligence and Scientific Publications: The Death and Triumph of the Author

Abstract

Contemporary scientific communication is undergoing fundamental transformations under the influence of generative artificial intelligence, challenging traditional models of academic publications. The authors analyse both empirical material and the broader changes occurring in scientific culture through the lens of Roland Barthes' philosophical concept of the «death of the author». The researchers propose an optimistic perspective on the phenomena and paradoxes arising in scientific creativity under the influence of artificial intelligence (AI). Contrary to widespread concerns about the degradation of the academic environment, the analysis demonstrates that the use of large language models in scientific work does not lead to the author 's disappearance, but rather contributes to their efficiency and triumph in new forms. An empirical study of publication practices using various AI models illustrates the ineffectiveness of traditional detection and anti-plagiarism methods. The article presents a substantiated position on the immutability of fundamental ethical principles of science and proposes specific formats for transforming publication practices: modular and dynamic publications, conceptual essays with expert markup. The authors suggest supplementing pre-publication evaluation practices with AI reviewers. The theoretical foundation of the research relies on the semiotic concepts of Yuri Lotman and the dialogism of Mikhail Bakhtin, allowing for the interpretation of AI as a tool for expanding the semiosphere of science.