Reinforcement through Iterative Feedback Loops

When AI systems with existing gender biases are used to generate new data or labels (e.g., through semi-supervised learning), the initial biases can be amplified over time. This feedback loop makes it increasingly challenging to correct biases in data collection and labeling.

When AI systems with existing gender biases are used to generate new data or labels (e.g., through semi-supervised learning), the initial biases can be amplified over time. This feedback loop makes it increasingly challenging to correct biases in data collection and labeling.

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AI and Bias: How Gender Affects Algorithms

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