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AI in software testing represents the future of quality assurance, leveraging machine learning algorithms and automated processes to enhance testing efficiency, accuracy, and coverage. By analyzing vast amounts of data, AI can identify patterns, predict defects, and optimize testing strategies, leading to higher-quality software products.