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Explainable AI (XAI) is an emerging field of research and development that seeks to demystify the complex inner workings of AI systems, allowing humans to understand the rationale behind the AI’s decisions or predictions. This exploration delves into the methodologies, challenges, and implications of achieving transparency and comprehensibility in the realm of artificial intelligence, in bot management and beyond. Advanced technologies like machine learning and AI can be used to automate the detection and blocking of malicious bots, reducing the manual effort required to monitor and detect them.