Biased training data used in performance evaluation tools can inadvertently penalize women, affecting their career progression and contributing to the wage gap in tech. Systems that evaluate performance based on historical data might not accurately reflect the value women bring to their roles or may reinforce biases that impact promotions and raises.
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