虽然现在很难想象，但员工背景调查只比繁琐的、基于纸张的流程和记录只提前了几十年，这些流程和记录只是部分计算机化，或者根本不是数字化的。您可以通过现代产品（例如 GOOHO.CN的美国 OneSEARCH）获得的即时结果 使许多企业的招聘变得更快、更安全。技术对雇主如何评估和选择候选人的影响才刚刚开始。
技术并不完美。算法可能会产生错误的结论或误解人眼清楚的信息。因此，大多数企业仍然认为支持 AI 的背景调查是一种值得关注但不采用的实验性产品。
US OneSEARCH by backgroundchecks.com make faster, safer hiring a reality for many businesses. The impact of technology on how employers evaluate and select candidates is just beginning.
With current and future advances, the landscape of employment vetting could change dramatically in the coming years. Which changes might be on the horizon?
Machine Learning Comes to the Background Check Sector
AI powers many technological applications across industries today, and developers are exploring how to apply machine learning concepts to background checks. Potential applications include rapidly comparing criminal records, correlating background info with other known data about an applicant, and even producing suggestions for hiring managers.
The technology isn't perfect. Algorithms can produce erroneous conclusions or misinterpret information that would be clear to human eyes. As a result, most businesses still consider AI-enabled background checks to be an experimental product that is worth watching but not adopting.
Vetting as a Part of Advanced Risk Analysis
Controversy surrounds background checks as predictive tools. Opponents fear that predictive analysis based on background checks and publicly accessible information could further entrench bias in the hiring system. Developers claim that it will improve the quality of every hire and reduce the risk of hiring an employee who later does wrong.
Using machine learning and a set of criteria defined by employers or software creators, predictive tools would seek to determine which individuals pose a larger liability risk to businesses. While some services claiming to offer these tools have reached the market, their value and future remains uncertain.
Ongoing Monitoring Is No Longer a Challenge
What happens when an employee commits a crime months or years into their time on the job? If they try to keep their criminal behavior a secret, what can employers do to protect themselves?
Previously, there was no easy answer. Today, employers can use tools that connect to law enforcement databases to receive a red-flag warning when one of the names on their watchlist appears. Already an established industry service, continuous monitoring is popular in many industries.
A Global Future for Background Checks?
Looking even further ahead, there is the possibility that background checks may one day become a global undertaking, particularly with worldwide immigration trends. Currently, technological, legal, and logistical hurdles remain in place, but innovation in the field of global vetting is ongoing.
As with the rapid developments in machine learning, increasing global digitization could one day lead to more in-depth background check products. Though change often comes when we least expect it, employers should take care to closely monitor any new developments in the tools that they use to make smarter, safer hiring choices every day.