Bias in technology often starts with biased data. To code against bias, it’s crucial to use inclusive and diverse data sets that accurately reflect the diversity of the population. This involves collecting data from a wide range of sources and ensuring that minority groups are adequately represented, helping to prevent algorithmic biases from taking root.
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