Traditional background check (BGC) processes often rely on archaic technology and lack comprehensive report quality assurance (QA) processes. This results in significant challenges, including the existence of variable and non standardized data sources. Additionally, the use of algorithms in decision-making processes raises concerns about profiling and discrimination, necessitating solutions that enhance efficiency and precision while upholding ethical standards.
Background check providers vary significantly in their approach to data review and validation:
Turn has implemented an advanced system that blends NLP Generative AI with rule-based algorithms designed to automate data dispositioning and scoring. This combined approach leverages sophisticated algorithms to analyze, interpret, and classify vast amounts of data with unprecedented accuracy.
Our advanced models significantly decrease dispute rates, showcasing the effectiveness of Turn’s innovative approach. While the industry standard ranges between 5-7%, Turn has achieved an impressively low dispute rate of just 0.8%. This represents nearly a 10x improvement over the industry baseline, underscoring our commitment to delivering unparalleled accuracy and reliability in our services.
By automating the bulk of the data quality review process, Turn has achieved an 85% reduction in manual review efforts. This allows our team to focus on more complex and value-added activities, enhancing overall productivity.
With AI-driven automation, background check completion times have drastically reduced, enabling quicker decision-making and improved hiring processes. The reduction in manual labor and associated costs translates to more affordable services for our clients, giving us a competitive advantage in the market.
The precision of our combined NLP Generative AI and rule-based system ensures that our background checks are faster, more affordable, and of superior quality. The consistency and reliability of this AI-driven process enhance our reputation for excellence in the industry.
Algorithmic justice refers to the ethical and equitable use of algorithms in decision-making processes, aiming to eliminate bias and ensure fair treatment of all candidates. According to a 2021 report by the Brookings Institution, biased algorithms can perpetuate inequalities and discriminatory practices if not properly regulated (West et al., 2021).
At Turn, we are acutely aware of these concerns. Our rule-based algorithm, combined with artificial intelligence, is implemented in a carefully controlled manner to ensure fairness and transparency. We actively work to mitigate potential biases and maintain the highest ethical standards in our operations by:
Turn’s integration of NLP Generative AI and rule-based systems has revolutionized our background check processes. This innovation reduces manual data review by over 85%, benefiting clients with faster, more accurate, and cost-effective background checks.
Clients can make quicker hiring decisions with our reduced turnaround times. Enhanced accuracy ensures reliable and compliant reports, minimizing hiring risks. Our efficient processes also translate to more affordable services, offering exceptional value.
Talk with our experts to uncover hidden inefficiencies and find faster, more effective ways to screen top talent.
Disclaimer: Turn’s Blog does not provide legal advice, guidance, or counsel. Companies should consult their own legal counsel to address their compliance responsibilities under the FCRA and applicable state and local laws. Turn explicitly disclaims any warranties or assumes responsibility for damages associated with or arising out of the provided information.
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