Artificial Intelligence (AI) is transforming industries, but its increasing complexity has raised concerns about trust, ethics, and accountability. Explainable AI (XAI) addresses these concerns by making AI systems transparent and understandable. This article explores the importance of transparency in machine learning, its benefits, challenges, and strategies for implementation.
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