Editorial

Artificial intelligence (AI) has rapidly transitioned from a conceptual innovation to an integral component of scientific practice. In recent years, AI-based tools have been increasingly incorporated into research workflows, particularly in tasks related to writing, editing, translation, and data interpretation [1, 2]. In engineering disciplines—where clarity, precision, and reproducibility are essential, this technological shift presents both significant opportunities and critical challenges for authors, reviewers, and editors.