Candidate Selection: A Definitive Guide
Learn of candidate selection to improve your candidate selection process and build a high-performing workforce.
With AI increasingly becoming a powerful tool accessible to everyone, organisations face growing concerns about the authenticity of online assessment results. Candidates can now easily exploit sophisticated AI models to achieve deceptively high scores, making traditional online assessments vulnerable.
But there's a robust solution that's more relevant today than ever—verification tests..
Audio Reading: How Verification Tests prevent AI cheating in recruitment
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Verification tests are straightforward yet effective mechanisms used to confirm the authenticity of online assessment results.
After a candidate completes an initial online assessment remotely, they're later retested in person under supervised conditions. The results from both assessments are then compared.
If a significant discrepancy emerges, indicating a notable drop in performance under supervised conditions, the candidate is flagged for verification failure.
In the past, verification tests primarily ensured that the candidate themselves completed the assessment. However, the rise of advanced AI tools amplifies the need for these tests.
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In an era where AI-assisted cheating is becoming commonplace, verification tests offer organisations an indispensable tool for maintaining fairness, authenticity, and reliability in their hiring and assessment processes.
By adopting verification tests, organisations can confidently mitigate the threats posed by advancing AI technologies.