Addressing Interviewer Bias: Training and Technology Solutions

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One of the most common forms of interviewer bias is confirmation bias, which occurs when interviewers seek out information that confirms their preconceived notions about a candidate. For example, if an interviewer believes that candidates from a certain university are more qualified, they may subconsciously look for evidence to support that belief during the interview.

Another form of interviewer bias is similarity bias, which occurs when interviewers are more likely to favour candidates who are similar to themselves in terms of demographics or background. This can result in a lack of diversity in the company’s workforce, as candidates who are different from the interviewers may be overlooked.

Interviewer bias can also manifest in the form of halo or horns effects, where interviewers are unduly influenced by one positive or negative trait of a candidate and base their overall evaluation on that single trait. This can lead to overlooking other important qualifications or overestimating the impact of a minor flaw.

So, how can companies address interviewer bias? One way is to provide interview training to ensure that all interviewers are aware of potential biases and how to avoid them. Companies can also implement structured interviews with predetermined questions and evaluation criteria to ensure consistency and fairness in the hiring process.

Additionally, using technology such as applicant tracking systems and AI-powered recruitment tools can help remove bias from the initial screening process by focusing on objective criteria such as skills and experience.

By addressing interviewer bias, companies can create a more inclusive and diverse workforce, leading to better decision-making, increased innovation, and a stronger company culture. Interviewer bias is a real issue that can impact the hiring process, but with awareness and proactive steps, companies can work towards a more fair and equitable recruitment process.

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