Description: The ‘Explanatory Power’ refers to the ability of an artificial intelligence model to provide clear and understandable explanations for its decisions and predictions. This concept is fundamental in the field of explainable artificial intelligence (XAI), where transparency and interpretability are essential for building trust in automated systems. A model with high explanatory power not only delivers results but also allows users to understand the reasoning behind those results. This is particularly important in critical applications, such as medicine, justice, and finance, where automated decisions can significantly impact people’s lives. The main characteristics of explanatory power include clarity, coherence, and relevance of the explanations provided. A model that achieves good explanatory power can break down its internal processes, showing how a specific conclusion was reached, which facilitates the identification of biases or errors. In a world where artificial intelligence is increasingly integrated into decision-making, explanatory power becomes an essential pillar to ensure that these technologies are used ethically and responsibly.
