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Explainable AI: Methods and Importance by shkhafsa2101 is a document available to read on EtoBox.

The document discusses Explainable Artificial Intelligence (XAI), which aims to enhance the transparency and interpretability of AI systems, particularly in high-stakes fields like healthcare and finance. It outlines the history of XAI, its significance in fostering trust and accountability, and various methods used to achieve explainability, including model-agnostic techniques like LIME and inherently interpretable models like decision trees. The paper emphasizes the importance of understanding and explain

Author

shkhafsa2101

Language

EN