Technology is impacting virtually everything in our world today, so it is no surprise that it has revolutionized the way background screening is done. One of the most significant impacts technology has on background screening is the speed at which it can be completed. Whats once took days, or even weeks to months to investigate thoroughly can now be found almost instantly.
Technology has also placed the ability to do basic background screens into the hands of individuals, small businesses, and others who would have found the processing time and costs prohibitive in the not-to-distant past.
If you are hiring or new babysitter, or agreeing to a blind date, websites like Check People, or the dozens of other similar companies, give you access to a background report in minutes.
Technology Used in Background Screening
Artificial intelligence (AI) and machine learning have redefined background screenings. The sophisticated algorithms can scan a much larger dataset, and find and follow connections that put together a cohesive background report from sources across the country and around the globe.
AI can recognize trends and patterns, and machine learning helps the algorithm “learn” as new information is absorbed. The algorithms can then take the overwhelming volume of information, plug it into set data points, to spit out reports that are easy to read and understand.
People-oriented research has all but disappeared from the background screening process, leaving humans free to determine how the information should be formatted and used instead of slogging through untold numbers of databases searching for information.
Predictive technology applied to background screening is a cutting-edge application of technology that has been around awhile. The basic concept is that a combination of AI and machine learning can take the information found in a person’s background and make relatively accurate predictions of future behavior. FULL ARTICLE