What are the limitations of using AI and chatbots in catalysis?
One limitation of AI in catalysis is the need for large and high-quality datasets to train models effectively. Incomplete or biased data can lead to inaccurate predictions. Additionally, the interpretability of AI models can be a challenge; understanding why a model makes a certain prediction is crucial for scientific validation. Chatbots, while useful, are only as good as the databases they are connected to. If the underlying data is outdated or incorrect, the chatbot's responses will be unreliable.
