Automated hiring systems are unnecessarily filtering out millions of highly skilled job candidates, according to a new report.
Researchers from Harvard Business School have a published report focussed on how leaders can improve hiring practices to uncover missed talent pools and close skills gaps.
The paper found that automated recruited systems, which are designed to “maximize the efficiency of the process” by “honing in on candidates” using very specific parameters, are excluding perfectly viable candidates in order to minimize the number of applicants being actively considered.
Around 75% of workforces in America currently use such systems, according to the HBS report, meaning that millions of job hopefuls could be unfairly stricken out of the recruitment process.
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