Understanding the Roots of AI Bias

AI bias is embedded through data that reflects historical patterns of discrimination and societal biases. These biases are then perpetuated as the AI systems learn from skewed datasets, leading to outcomes that can reinforce stereotypes or exclude certain groups. Women in tech can combat this by advocating for diverse teams that can identify and mitigate biases from the outset.

AI bias is embedded through data that reflects historical patterns of discrimination and societal biases. These biases are then perpetuated as the AI systems learn from skewed datasets, leading to outcomes that can reinforce stereotypes or exclude certain groups. Women in tech can combat this by advocating for diverse teams that can identify and mitigate biases from the outset.

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Fairness in AI Algorithms

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