Incorporating feedback mechanisms that allow users to report biases or unfair outcomes can help in dynamically addressing implicit biases in AI systems. This user-centric approach provides real-world insights into how AI decisions are perceived across diverse user groups, enabling continuous improvement and fairness adjustment of the AI systems based on direct feedback.
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