Discrimination in Hiring Algorithms

When AI systems are used for screening applicants or matching candidates with job opportunities, biased training data can lead to discrimination against women. If the data on which these systems are trained reflects a historical preference for male candidates in certain roles, women may be unfairly overlooked or rated lower by such automated systems, perpetuating gender disparities in the tech industry.

When AI systems are used for screening applicants or matching candidates with job opportunities, biased training data can lead to discrimination against women. If the data on which these systems are trained reflects a historical preference for male candidates in certain roles, women may be unfairly overlooked or rated lower by such automated systems, perpetuating gender disparities in the tech industry.

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Training Data Bias

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