Explainable AI: Bridging the Gap Between Complexity and Transparency

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Professor Javier Rodriguez focuses on the critical issue of transparency in AI systems with his research on Explainable AI (XAI). Prof. Rodriguez presents an innovative framework that not only achieves high performance in complex tasks but also provides transparent explanations for the decision-making process. This research contributes significantly to overcoming the ‘black-box’ problem in AI, promoting trust and understanding between AI systems and their human users. The work holds promise for applications in sensitive domains, such as healthcare and finance.

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