COMPARISON OF AI TOOLS FOR CREATION OF SCIENTIFIC TEXTS IN BIOLOGY: BALANCING INNOVATION WITH INTEGRITY AND TRANSPARENCY

Abstract

Artificial intelligence (AI) tools are gaining popularity in the scientific community, including all areas of biology. This study evaluates and compares leading AI tools that specialise in supporting scientific and publishing activities. These tools can assist in writing scientific papers, forming hypotheses and enhancing understanding of complex topics such as complex biological processes and patterns. Although these tools increase productivity and make various aspects of our work more efficient, their integration raises concerns and critical questions about transparency in their use, ethical issues and data integrity - especially in our field where accuracy and reproducibility are essential variables. This study explores how these modern tools can be used in complex biological research while maintaining scientific rigor and avoiding ethical issues such as unintended misrepresentation of data or questions of plagiarism. The findings provide a framework for the responsible use of AI in biological research that balances innovation with the integrity and transparency that underpin the scientific process.