AI and automation are gaining traction for use in background screening, according to a new report.
- Over 90% of businesses in EMEA express comfort with AI in screening processes.
- 83% believe AI reduces human error, enhancing accuracy in screening reports.
- Speed of process and candidate experience see improvements with AI integration.
- ‘Human in the Loop’ systems balance AI with human oversight, promoting secure practices.
AI and automation are increasingly accepted as tools in the background screening process. A recent report reveals that more than 90% of businesses in the EMEA (Europe, Middle East, and Africa) region are comfortable with their use in researching or compiling screening reports. This acceptance underscores a growing confidence in technology to enhance traditional methods.
The report, released by a leading global employment background screening service, reflects the views of over 1,250 HR, risk, and talent acquisition professionals worldwide. Amongst them, 83% in the EMEA region acknowledge AI’s efficacy in reducing human error. They believe that this technological integration could potentially streamline operations and add precision to employee assessments.
Enhancing the speed of the screening process is another significant advantage highlighted by 79% of respondents. Improvements in the candidate experience through reduced processing times and increased efficiency are key benefits that encourage AI’s adoption in EMEA.
The survey also points to the importance of a hybrid approach combining AI with human oversight, known as ‘Human in the Loop’ systems. As Marc Sharma, Director of Engineering in Applied Machine Learning at the survey-conducting firm, noted, this combination ensures that security and efficiency are upheld without compromising human control over sensitive data.
Furthermore, accuracy in results has become the top priority for employers, with 72% considering it most critical, surpassing considerations like speed and cost. This shift indicates a targeted focus on delivering reliable and error-free screening results. In EMEA, discrepancies in employment history and educational credentials are prevalent, while in North America, undisclosed criminal convictions pose significant challenges.
The increasing comfort with AI and automation in screening processes highlights a shift towards innovative and efficient practices in employment assessments.
