The algorithms driving autonomous vehicles are not immune to biases, including gender biases, present in their training data. Women working in artificial intelligence and machine learning are crucial in identifying and addressing these biases. By ensuring diverse data sets and inclusive programming, the algorithms can be refined for fairness, promoting gender-neutral decision-making in autonomous driving systems.
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