<ul><li>Explainable AI (XAI) helps in understanding machine learning decisions, promoting trust and accountability in AI systems.</li><li>XAI techniques make complex machine learning models transparent and interpretable, unlike naturally understandable models.</li><li>XAI focuses on revealing the inner workings of 'black box' systems, improving the understanding of algorithms' decision-making processes.</li><li>Experience in a healthcare project highlighted the importance of XAI in explaining AI model predictions to ensure accountability and trust.</li></ul>

Explainable AI: How Transparency in Machine Learning Builds Trust and Accountability

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