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Explaining AI explainability

Practical AI

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Understanding AI Explainability and Model Reliability

This chapter explores the intricacies of AI explainability in natural language processing models, particularly focusing on their performance during testing. It highlights failures in commercially available systems and emphasizes the significance of model decision transparency, using a disease detection case study to illustrate the benefits of explainable AI.

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