How can I identify bias in data?
Identifying bias in data involves examining the data collection process, the sample size, and the representation of different groups.
What are some common types of bias I should look for?
Common types of bias include selection bias, confirmation bias, and measurement bias. Each can skew your results.
How can I mitigate bias in my dataset?
To mitigate bias, ensure diverse data sources, use random sampling, and apply techniques like re-weighting.
Are there tools that can help me analyze bias?
Yes, tools like Fairness Indicators, AI Fairness 360, and What-If Tool can help analyze and visualize bias in datasets.
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