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Toward Explainable AI (Part 6): Bridging Theory and Practice—What LIME Shows – and What It Leaves Out
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.
Previously, in Part V: A Hands-On Introduction to LIME: Explaining pneumonia detection step by step.