How does user feedback contribute to making AI systems more transparent?
User feedback helps identify biases and areas for improvement, enhancing the clarity of AI decision-making.
Can you give examples of how feedback has changed AI behavior?
Sure! For instance, feedback on biased outputs can lead to retraining models to ensure fairer results.
What methods are used to collect user feedback?
Common methods include surveys, direct user interactions, and monitoring user behavior to gather insights.
Is there a risk of negative feedback affecting AI performance?
Yes, if not managed properly, negative feedback can lead to overcorrection or misinterpretation of user needs.
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