Reinforcement of Existing Inequities

Gender bias in AI systems used in recruitment can perpetuate and even amplify existing gender disparities. If an AI model is trained on historical hiring data that favors one gender, it may continue to prefer candidates of that gender, thereby reinforcing inequities and limiting diversity within organizations.

Gender bias in AI systems used in recruitment can perpetuate and even amplify existing gender disparities. If an AI model is trained on historical hiring data that favors one gender, it may continue to prefer candidates of that gender, thereby reinforcing inequities and limiting diversity within organizations.

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AI and Bias: How Gender Affects Algorithms

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