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Explainable AI Challenges

Relying solely on black box technology can undermine trust in AI systems, as users seek accountability and explanations for decisions. While deep learning offers powerful capabilities, it often lacks transparency. Opting for more explainable algorithms, like linear models or decision trees, can enhance understanding, but may sacrifice some predictive accuracy. It's crucial to choose the right algorithm based on the need for explainability in each application.