Implementing mechanisms for collecting and analyzing user feedback is a pragmatic approach to uncovering hidden biases in AI systems. Users experiencing the output of these systems can often identify unfair or biased results that developers and testers might not catch. By systematically collecting, analyzing, and acting on this feedback, developers can iteratively improve the fairness of their systems.
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