Artificial Intelligence in scientific writing: Responsibility, transparency, and the future of authorship

Abstract

Artificial intelligence (AI) is increasingly influencing how clinical research is written, edited, and prepared for publication. Its integration into scientific practice is inevitable, yet its effects on the quality, reliability, and ownership of academic work remain far from fully understood. Journals must be clear in setting standards early, maintaining transparency, responsibility, and critical oversight, accepting that such guidance will likely remain behind real world, routine use.