Entities perform a background check before you can hire someone, before you open a bank account, make an investment, or make resources otherwise available. The screening process is dynamic and constantly changing, but the basic premise remains the same.
That said, artificial intelligence (AI) is transforming screening by making it faster, more accurate, and more efficient. This article will explore other ways AI makes background checks more effective than ever.
Limiting the Amount of Data
Traditional background screening generates an overwhelming number of reports because so much data is available. AI can help companies focus on relevant insight and actionable points from these piles of data. Huge volumes are no longer overwhelming this way.
Another way in which AI can help is by eliminating duplicate alerts in reports and reducing false positives.
Better Analysis
AI and machine learning (ML) enable users to run background checks with coverage of much vaster datasets and much greater effectiveness than was possible in the past. What’s more, AI makes it possible to analyze and match many more data points than before.
The near-instant availability of targeted information is one of AI’s biggest assets. It is no coincidence that conventional background check providers found the overwhelming amount of irrelevant information to be the biggest disadvantage in the screening process.
Another thing AI helps with is the identification of links and patterns in different elements of data. This would be impossible using traditional screening technology and processes.
An Improved Perception of Risk
AI and ML algorithms can generate profiles of businesses with which an entity could be affiliated. This gives recruiters the ability to improve their perception of the risk of conflict of interest or of adverse behavior patterns. AI can also perform regulatory and legal analysis, which was very hard in the past.
AI can calculate risk scores far more quickly and easily than you can do manually. It can help people make better employment decisions. It goes above and beyond generating a single score.
Real-time analysis
AI can address the reliance on historical data, which was a major downside of traditional background verification. AI maintains alignment with the latest developments, keeping searches current and fresh. It does this by processing documents in real-time and updating databases regularly.
A number of tools have been available in this regard for quite some time. Background checks can be performed entirely in real-time, assessing identity by means of verifying the authenticity of state-issued ID documents and comparing them to applicants’ photos from mobile devices. At the same time, the use of AI improves regulatory compliance, ensuring the screening process transpires in the best interest of all parties involved.
AI verifies ID documents via biometric facial recognition and liveliness detection, delivering an end-to-end screening system.
Using Data from All Over the World
Conventional screening can’t avail of all possible sources of data, but AI can. For example, it can find and process information in different languages worldwide automatically. This is practically impossible for a human analyst to achieve. It becomes even more critical if you consider remote locations and working from home. Even if you’re searching how to find out where someone works, AI capabilities can achieve and access far more information in a more efficient way than a human would.
Ensuring Current Reports
Another big advantage of AI for background checks is the guarantee of updated, current reports. One of the biggest downsides of traditional screenings was limited report lifespan. As soon as a check is completed, the data starts getting old. Sometimes, it’s not current, even just a week later. With outdated findings, a report becomes irrelevant.
AI allows you to analyze and assess a substantial body of information and ensure your checks are relevant. This gives you the ability to detect red flags in good time.
Speed
Last but not least, it’s now possible to perform a background check in a fraction of the time it used to take. This is good not only for job applicants but also for businesses. For instance, automatic search and analysis procedures can cut the time to deliver a report down to an hour. AI identifies the essential information and helps lead organizations to the right decision.
AI improves efficiency by inducing a shift to summaries. People now spend far less time on the screening process.
Final Thoughts
AI and ML make background verification faster, smarter, and more effective. They process data volumes at an unprecedented rate. Screening is moving further and further away from manual and paper-based processes. The automated systems also offer the advantage of the relevant insight and concise summaries.
Every employer and job candidate is different, but there are two constants – the need to maintain legality and the benefits AI can bring to the process. The latest AI algorithms allow customized feedback about preferences and skills, offering an innovative, multi-pronged approach. The system becomes more accurate every time a screening is graded manually. AI has progressed so notably that it’s now possible to evaluate 15,000 backgrounds in the time it used to take to assess one. With that, scalable recruitment has become a fact.
