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.
- Log in or register to contribute
Contribute to three or more articles across any domain to qualify for the Contributor badge. Please check back tomorrow for updates on your progress.