One effective way to reduce gender and racial bias in digital assessments is to anonymize candidate information. By removing names, photos, and any identifiable demographic data from the evaluation process, assessors can focus solely on the skills and competencies demonstrated, minimizing unconscious biases related to gender or race.

One effective way to reduce gender and racial bias in digital assessments is to anonymize candidate information. By removing names, photos, and any identifiable demographic data from the evaluation process, assessors can focus solely on the skills and competencies demonstrated, minimizing unconscious biases related to gender or race.

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