What is often a critical factor to consider in ensuring the adaptability of an AI system across different domains or applications?

Transfer Learning is a critical factor in ensuring the adaptability of AI systems across different domains or applications. It allows models trained on one task or dataset to be fine-tuned or reused for another related task, reducing the need for extensive training data in each new domain.