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"Explainability" is a category for books whose primary aim is to make complex ideas, systems, or processes understandable and usable by non‑experts and specialists alike. These books focus on clear exposition—using analogies, step‑by‑step walkthroughs, visualizations, annotated examples and plain‑language explanations—to reveal underlying logic, assumptions, limitations and practical implications. They span subjects from science, technology and mathematics to law, medicine, economics and AI (including interpretability and transparency in machine learning), and come in forms such as primers, annotated case studies, how‑to guides and popular science narratives. The unifying goal is not encyclopedic depth but intelligibility: empowering readers to grasp, critique, apply, or teach the topic with confidence.

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