AI in quality assurance refers to the application of machine learning algorithms, neural networks, and other AI technologies to automate and enhance the software testing process. AI-driven QA aims to improve the accuracy, efficiency, and speed of identifying bugs and issues in software applications. By leveraging AI, QA processes can become more predictive, proactive, and adaptive, reducing human error and freeing up human testers to focus on more complex tasks.