Description: The XAI (Explainable Artificial Intelligence) Model refers to AI models designed to be interpretable and provide insights into their decision-making processes. As artificial intelligence has integrated into various applications, the need to understand how and why models make decisions has become crucial. This is especially important in sectors like healthcare, finance, and the legal system, where automated decisions can significantly impact people’s lives. XAI models aim to demystify the inner workings of algorithms, allowing users and developers to understand the reasons behind the decisions made by AI. This not only increases trust in technology but also helps identify biases and errors in models, promoting a more ethical and responsible use of artificial intelligence. Key features of these models include transparency, interpretability, and the ability to provide understandable explanations for end-users. In a world where AI is increasingly present, the development of XAI models becomes a fundamental pillar to ensure that technology operates fairly and responsibly.
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