Are There Challenges in Implementing XAI in Catalysis?
Implementing XAI in catalysis comes with its own set of challenges: 1. Complexity: Catalytic processes are often complex and involve numerous variables, making it difficult to create models that are both accurate and explainable. 2. Data Quality: High-quality, comprehensive datasets are required to train effective AI models. Incomplete or biased data can lead to misleading explanations. 3. Interdisciplinary Knowledge: Effective implementation of XAI requires knowledge in both AI and catalysis, necessitating collaboration between data scientists and chemists.
