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Recruitment software automatically rejects millions of qualified candidates

Zachary Pearce by Zachary Pearce
September 9, 2021
in Technology
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Les logiciels de recrutement, trop rigides, éliminent beaucoup de candidats qualifiés. © peshkov, Adobe Stock
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Recruitment software has become very widespread in recent years. However, rather than making the system more efficient, they created a population unable to find work because they did not fit into the boxes.

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Companies are increasingly using recruiting software to screen candidates for a position, and yet they often struggle to find profiles with required qualifications. A study published by the Harvard Business School discovered that millions of CV were automatically rejected by this software, when they could perfectly correspond to the position.

The study looked at recruitment in the United States, United Kingdom and Germany. 75% of American employers use this kind of software. This has the effect of creating a population of “hidden workers”, people who cannot find a job despite their qualifications. In the United States they would be 27 million, with a similar proportion in the United Kingdom and in Germany.

An automated system unable to take special cases into account

Researchers explain this phenomenon by software that focuses on negative elements. A six-month gap in CV is enough for a candidate to be automatically refused. The population of hidden workers is very diverse, including caregivers, veterans, immigrants, people with disabilities, disadvantaged populations as well as people with criminal records.

Software also rejects those who have the skills but not the degree or certificate specific requested. Also, because of the rapid evolution of new technologies, a growing number of skills can only be acquired at work … To solve this problem, researchers advise employers to no longer search for the perfect candidate, but rather to adapt their recruitment to take into account hidden workers.

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Tags: automaticallyAutomatingcandidatescandidatureEmployermillionsqualifiedrecruitmentrejectssoftwareTechnologyUse
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