Evaluating Explainable AI to Combat Cyber Threats

This presentation delves into Explainable AI (XAI), focusing on addressing adversarial threats and improving system interpretability. It explores challenges posed by deep learning's "black box" nature and the vital need for trust in AI systems. Using a mixed-methods research approach, the study aims to reduce Mean Time to Respond (MTTR) while examining trust calibration in analysts. Real-world applications, such as critical infrastructure management and adversarial threat scenarios, are...