To continue reading please register or login to your OHW+ account.
Background screening is an area ripe for automation and technological innovation. Conal Thompson looks at some of the emerging trends in this area.
Employment background screening will always be heavily dependent on technology. It impacts nearly everything the screening industry does, including the products we offer, the way our operations teams work and the delivery of the candidate experience.
And, as new technologies are being developed, it’s of paramount importance that screening providers are at the forefront of tracking and applying these technologies to ensure that we can continue to innovate how we work to best support our customers.
A number of emerging technologies are influencing the background screening industry around the world – and ultimately are helping to lay the foundation for the future of screening in 2021 and beyond:
AI will fulfil machine learning
When fulfilling background screening requests, machine learning has great potential for application in several areas, including natural language processing (NLP), text classification, and quality assurance.
We have already begun using deep learning models for all three of these purposes and our investment in this technology will continue to grow.
If we look at text classification, for example, in the US each local court may use its own vocabulary and free-form text when documenting criminal activity. This could result in inconsistent documentation of the same classification of crime and could ultimately result in two candidates with identical criminal records being handled differently.
Text classifications can be used to standardise free-form text containing different terminology into a consistent set of responses, which can also help to improve turnaround times for these checks and may reduce