Deni Sugaipov, a research fellow at the Laboratory for Mathematical Modeling of Economic Processes at the Gaidar Institute Deni Sugaipov, commented for Nezavisimaya Gazeta on the results of a study on the use of artificial intelligence by Russian scientists and explained why the widespread adoption of AI does not yet mean an increase in the effectiveness of scientific work.
The expert noted that the statistic indicating that 85% of Russian researchers use artificial intelligence technologies primarily reflects the availability of such tools. However, this figure alone does not allow us to draw conclusions about the extent to which AI actually helps produce new scientific results.
tasks, but its use is accompanied by a number of serious challenges. These include dependence on foreign digital services, the risk of data leaks, the likelihood of errors made by generative models, and the potential loss of research skills among young scientists due to overreliance on AI.
“85% is a measure of reach, not effectiveness. It indicates that scientists are trying to use artificial intelligence, but it does not show to what extent it improves the quality of research. So far, we have not observed a statistically significant effect from the implementation of AI: it will either become apparent later or remains uneven across different fields of science. Therefore, today it is important to assess not the number of users, but the actual contribution of these technologies to the generation of new scientific knowledge,” noted Deni Sugaipov.