Automation can help eliminate unconscious bias in hiring decisions, such as favoring people who seem similar, gender bias, or just confirming what we already think. Automation does not replace human eyes but adds data-based help to make uniform steps more uniform and less personal. Automated applicant tracking systems scan for key words, past jobs, and abilities matching the job description. Some tools can remove personal details such as the name, image, and graduation year before the file reaches a person, which may lower the chance of an early, gut feeling. Structured interviews can also reduce personal bias. However, regular checks and open-source logic are recommended to keep the system ethical. As more firms promote diversity, equity, and inclusion, automation could help shape recruitings future.
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