What are the challenges of using AI in user research?

What are the challenges of using AI in user research?

Some challenges include data quality, bias in algorithms, and the need for human oversight.

How can we ensure data quality when using AI?

Ensuring data quality involves rigorous data validation, continuous monitoring, and using diverse data sources.

What biases should we be aware of?

Common biases include selection bias, confirmation bias, and algorithmic bias, which can skew results.

How can we mitigate these biases?

Mitigating biases can be achieved through diverse training data, regular audits, and involving diverse teams in the research process.

Is human oversight still necessary?

Yes, human oversight is crucial to interpret AI findings accurately and ensure ethical considerations are met.