Digital identities can contribute to reducing gender bias in artificial intelligence (AI) systems by ensuring that datasets used for machine learning are representative of all genders. By anonymizing data or controlling for gender, developers can prevent biases from being introduced into AI systems. This is crucial for creating technology that serves everyone equally and for ensuring that gender inequalities are not perpetuated through tech solutions.
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