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Understanding AI Decisions

AI systems often operate as black boxes, making it challenging to comprehend their decision-making processes. The emergence of explainable AI (XAI) aims to shed light on how these systems arrive at their conclusions, addressing critical questions about their actions and reliability. With organizations like DARPA leading the charge, the focus is on enhancing prediction accuracy, fostering trust, and ensuring humans can effectively oversee AI decisions.