What are the main challenges of using AI in user testing?
Some challenges include data bias, lack of human intuition, and difficulty in interpreting AI results.
How does data bias affect AI in user testing?
Data bias can lead to skewed results, as AI may not accurately represent diverse user experiences.
Can AI replace human testers in user testing?
AI can assist but cannot fully replace human testers due to the need for empathy and nuanced understanding.
What are some solutions to these challenges?
Solutions include diverse data sets, continuous training, and combining AI insights with human feedback.
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