AI Summary
The article discusses the importance of combining both data and expert knowledge in the use of artificial intelligence for retrosynthetic planning. It highlights the need for a hybrid approach that leverages the strengths of both data-driven algorithms and human expertise to improve the accuracy and efficiency of synthetic route design in chemistry. This combination is seen as essential for overcoming the limitations of purely data-driven methods in complex chemical synthesis processes. By integrating data and expert knowledge, AI can better navigate the vast space of possible reactions and optimize synthetic routes.