<ul><li>Explainable Artificial Intelligence (XAI) is crucial for fostering trust and detecting potential misbehavior of opaque models.</li><li>LIME (Local Interpretable Model-agnostic Explanations) is a popular model-agnostic approach for generating explanations of black-box models.</li><li>LIME faces challenges related to fidelity, stability, and applicability to domain-specific problems.</li><li>A survey has been conducted to comprehensively explore and collect LIME's foundational concepts and known limitations, categorize and compare its enhancements, and offer a structured taxonomy for future research and practical application.</li></ul>

Which LIME should I trust? Concepts, Challenges, and Solutions

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