Summary
This white paper examines the issue of cheating in hiring workflows, detailing various forms of deceptive behaviors candidates may engage in during interviews and assessments. It discusses the implications of mis-hiring due to dishonesty and the challenges in defining cheating, particularly in the context of interview preparation. The paper presents findings from analyses conducted by Hirevue, including the performance of candidates using tools like ChatGPT during assessments. It highlights that while concerns about cheating have increased with the advent of AI tools, the actual incidence of cheating remains low. The paper outlines specific cheating behaviors, such as artificially enhanced answers, and evaluates the effectiveness of ChatGPT in comparison to top-tier candidates. Additionally, it provides recommendations for organizations to mitigate cheating, including the implementation of multi-stage workflows and disabling copy-paste functions during interviews. The findings suggest that despite the presence of AI tools, genuine talent continues to prevail in hiring processes.
