Diversify Data Sets

One of the roots of AI bias is in the data sets used for training. Ensuring that these data sets are diverse and representative of all user groups can significantly reduce algorithmic biases. This includes collecting and using data that reflects a variety of demographics, cultures, and languages.

One of the roots of AI bias is in the data sets used for training. Ensuring that these data sets are diverse and representative of all user groups can significantly reduce algorithmic biases. This includes collecting and using data that reflects a variety of demographics, cultures, and languages.

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Bias in AI and Algorithms

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