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Continuous monitoring and evaluation of AI systems are necessary to identify and address biases from "summary" of Human-Centered AI by Ben Shneiderman
Continuous monitoring and evaluation of AI systems play a crucial role in ensuring their ethical use. By regularly examining the performance of AI systems, developers can detect and address biases that may arise during the system's operation. Bias in AI systems can have far-reaching consequences, affecting individuals' lives and perpetuating social inequalities. Identifying biases in AI systems requires a proactive approach that involves monitoring the system's outputs and evaluating its decision-making processes. By analyzing the data that the AI system processes and the results it produces, developers can gain insights into any biases that may be present in the system. This ongoing monitoring allows for the timely identification of biases and the implementation of corrective measures to mitigate their impact. Ad...
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