Even computer programs designed to eliminate human subjectivity sometimes fail. Bias in the hiring process is prevalent and hard to eradicate. Scientists have found evidence that data-driven recruitment algorithms have the potential to learn our prejudices. Unless carefully monitored, their filters detect patterns of underrepresentation and reproduce them, perpetuating biases against already disadvantaged groups such as older and disabled workers, women and ethnic minorities.
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