The section GenAI in Science will provide a venue for discussion of potential applications of GenAI in scientific research, the advantages and disadvantages of modern approaches to AI use, current cases of successful implementation, and regulatory issues.

Generative Artificial Intelligence (GenAI) has rapidly become an integral part of scientific research, transforming methods of data analysis, modeling complex systems, hypothesis generation, and presentation of new knowledge. The widespread application of artificial intelligence technologies and large language models (LLMs) in science is changing the organization of scientific activity, shortening the time of transfer from fundamental to applied research. This technological breakthrough opens up additional opportunities for accelerating scientific research and reducing its costs, while simultaneously presenting new challenges to the scientific community, e.g., demand for computing power, verified datasets, and quality assessment tools.