What are the main challenges of collecting feedback for AI systems?
Some challenges include data quality, user engagement, and interpreting subjective feedback.
How can we improve user engagement when collecting feedback?
Improving user engagement can be achieved by simplifying the feedback process and offering incentives.
What role does data quality play in feedback collection?
Data quality is crucial; poor quality data can lead to misleading insights and ineffective improvements.
Can you give examples of subjective feedback issues?
Subjective feedback can vary widely between users, making it hard to quantify and analyze effectively.
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