Interpretable AI Models

This article explores the growing demand for interpretable AI in high-stakes decision-making, where transparency and accountability are critical. It discusses the importance of human-understandable models, the technical methods used to achieve interpretability, and real-world applications across healthcare, finance, and justice. With ethical implications and regulatory pressure rising in 2025, building AI systems that users can trust and understand is no longer optional—it’s essential to ensure responsible, equitable, and effective decision support.