The explainable AI market is expected to grow significantly due to ethical and regulatory considerations, with governments and regulatory agencies implementing laws to ensure transparency and accountability in AI systems. This is driven by the need to avoid risks such as bias and discrimination, as well as to improve model performance and debugging. Explainable AI methods help identify and fix biases and mistakes, leading to more precise, reliable, and fair models.
