I. L. Savelev, A. L. Ivannikov, S. V. Solodov, L. A. Maryushin, A. A. Valova, T. V. Korenkova
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引用次数: 0
Abstract
This is an English-language abstract. The article is devoted to evaluating the effectiveness of existing systems for identifying AI-generated text in scientific papers. The study analyzed six systems for their ability to detect AI-generated text in academic works. The probability scores for AI generation varied from 5 to 67% for the same text, depending on the system, method, and conditions of the check. The key factors leading to false results were the stylistic features of academic writing. The research calls into question the objectivity of current tools and emphasizes the need to develop specialized methods adapted to the scientific style of writing.
期刊介绍:
The journal Fizika Elementarnykh Chastits i Atomnogo Yadr of the Joint Institute for Nuclear Research (JINR, Dubna) was founded by Academician N.N. Bogolyubov in August 1969. The Editors-in-chief of the journal were Academician N.N. Bogolyubov (1970–1992) and Academician A.M. Baldin (1992–2001). Its English translation, Physics of Particles and Nuclei, appears simultaneously with the original Russian-language edition. Published by leading physicists from the JINR member states, as well as by scientists from other countries, review articles in this journal examine problems of elementary particle physics, nuclear physics, condensed matter physics, experimental data processing, accelerators and related instrumentation ecology and radiology.