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Modern Hire Launches Automated Interview Scoring

Modern Hire is making it easier for you to conquer bias in your hiring process. Today, Modern Hire launched Automated Interview Scoring.

Modern Hire Automated Interview Scoring is an on-demand interview feature that uses AI to evaluate candidate responses and provide recruiters and hiring managers with recommended scores. Automated Interview Scoring has been proven to be three times less biased than human interview scorers.  

Interviewing is a subjective endeavor. Interviewers may incorporate factors not related to the job into their evaluation of candidates rather than using a consistent, standardized, and objective evaluation methodology that results in less biased and more accurate hiring decisions. 

Even worse, everyone holds unconscious bias, and these beliefs inevitably influence how interviewers rate candidates, as by favoring those who are like them over candidates with a different background or interests.

Recruiting technology makes getting a high volume of candidates through your interview stage faster and easier, but high-quality evaluation of such a large number of candidates at the same pace remains a challenge.

In today’s hiring landscape, as interviewers are challenged to do more with less, they need solutions to help them keep pace with the demands of high-volume hiring. With a sharp spike in hiring needs and fewer TA resources to evaluate candidates, interviewers need a solution that helps them assess candidate interviews more objectively, consistently, and fairly.

That’s where Automated Interview Scoring comes in.

 AI-enabled Automated Interview Scoring is game–changing technology and science designed to help ensure a fair, complete, and objective hiring experience. Modern Hire Automated Interview Scoring has been proven to be three times less biased than human interview scorers. 

Automated Interview Scoring is an innovation that advances the hiring technology industry. It uses cutting–edge AI known as natural language processing (NLP) and deep learning. NLP and deep learning allow us to replicate the judgment of professionally trained experts reliably.

Modern Hire used an internal team of professionally trained experts to rate tens of thousands of candidate responses. The experts rated the responses on job-relevant competencies that have been shown to predict success on the job. These tens of thousands of ratings were used to train the NLP and deep learning models used in Automated Interview Scoring.

Automated Interview Scoring is a feature built on CognitIOn by Modern Hire™, the science engine that powers Modern Hire’s industry-leading platform, products, and innovation.

Automated Interview Scoring is ready for implementation across a number of job families. Interview questions have been developed for the following job families:

  • Healthcare
  • Retail
  • Banking/Financial Services
  • Insurance
  • Telecommunications

Interested in learning more? You can find more information about Automated Interview Scoring here.