Series reminder: This series explores how explainability in AI helps build trust, ensure accountability, and align with real-world needs, from foundational principles to practical use cases.
In this Part: We lay the groundwork for explainable AI: what it means, why it matters, and what’s at stake when AI systems remain opaque.