Advanced Technology and Background Screenings

Advanced Technology and Background Screenings

Compliance will continue to be front and center for businesses and organizations that conduct pre-employment screenings and background checks. More people file class-action lawsuits due to technical mistakes. As the years go by, we believe that more states will pass stricter laws and ban various screenings. There is also a belief that federal regulators and state regulators will place more attention toward the use of machine learning technology and artificial intelligence.

Machine Learning and Artificial Intelligence

The use of machine learning technology and artificial intelligence for employment screenings will be placed under a brighter spotlight. The use of automation solutions and assessments will continue to gain popularity. Humans make biased decisions, but automated decision-making can also be biased. Indeed, humans still have an impact on the final results at any point in the process.

Lawmakers are still trying to keep up with the pace of technological advancements. Machine learning and artificial intelligence may soon be used by more background screening firms to increase accuracy and effectiveness in their screenings. However, machine learning and artificial intelligence in background screenings have not reached the point where they are able to determine if an applicant has the right set of skills to be a perfect fit for the job opening.

Advanced Technology’s Impact on Background Screenings

If there is no human review available during the process, machine learning and AI will lead to concerns. However, if completed by humans, the chances of errors occurring increase. With the combination of advanced technology and manual processes, there will be room for common ground.

What impact do you think advanced technology will have on the way you handle your background checks, investigative screenings, and verification services?

Contact us today for more information on technology’s impact on background screenings.

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