Designing Fair Representation Learning

Fairness frameworks encourage the development of embedding or feature representations that obfuscate gender-related information when it is irrelevant to the task. This prevents AI models from leveraging explicit or implicit gender cues, minimizing biased decision-making.

Fairness frameworks encourage the development of embedding or feature representations that obfuscate gender-related information when it is irrelevant to the task. This prevents AI models from leveraging explicit or implicit gender cues, minimizing biased decision-making.

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AI and Bias: How Gender Affects Algorithms

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