Bias Reduction through Objective Data Processing

By relying on algorithmic evaluation rather than human intuition alone, machine learning can reduce unconscious biases in the hiring process. Techniques such as anonymizing applicant data and focusing on measurable competencies help promote diversity and inclusion across candidate pools.

By relying on algorithmic evaluation rather than human intuition alone, machine learning can reduce unconscious biases in the hiring process. Techniques such as anonymizing applicant data and focusing on measurable competencies help promote diversity and inclusion across candidate pools.

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