In the rapidly evolving landscape of artificial intelligence and machine learning, a paradox has emerged: as AI systems become increasingly powerful and complex, they often become less understandable to humans. This opacity has given rise to the critical field of Explainable AI (XAI), which aims to shed light on the decision-making processes of these sophisticated algorithms.
Originally published at Explainable AI: Shedding Light on the Black Box of Machine Learning
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