What are the main challenges of using AI in feedback systems?
Some challenges include data quality, bias in algorithms, and the need for human oversight.
How does data quality affect AI feedback?
Poor data quality can lead to inaccurate feedback, which undermines trust in the AI system.
What can be done to reduce bias in AI feedback systems?
Implementing diverse training data and regular audits can help mitigate bias in AI systems.
Is human oversight always necessary in AI feedback?
While not always necessary, human oversight is crucial for ensuring ethical and accurate outcomes.
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