Organizations should start by conducting a thorough audit of their existing datasets to identify any inherent biases. Understanding the demographics, sources, and collection methodologies of the data can help highlight underrepresented groups or skewed perspectives. This foundational step is critical in strategizing how to mitigate biases in future training data.
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