Explainable AI Framework Uses 20 Questions Game for Cybersecurity Education

A new educational framework called 'Learning to Explain Cybersecurity with Q20 Game' leverages explainable AI (XAI) and a game-inspired approach to improve cybersecurity training. The framework, named Explainable Q20 Cybersecurity Recommender (EQ-20CR), treats the question 'Why should I execute this mitigation?' as a 20 Questions (Q20) game. A policy-based reinforcement-learning agent actively queries an environment to recommend optimal security education and explain its decision through concise dialogue. The approach addresses the lack of intuitive and adaptive learning in traditional methods, aiming to enhance interactivity and effectiveness in cybersecurity education. The research is detailed in arXiv:2604.26964.