Understanding the science behind AI-based hiring assessments @EyeonTech
Understanding the science behind AI-based hiring assessments  @EyeonTech
Uploaded May 2026 | Updated September 2026, 2 weeks ago
Assessments are valuable hiring tools, but they can be challenging to design and implement. Recruiters and hiring managers use them to evaluate whether a candidate has the skills for a specific job, but also to identify cognitive capabilities and behavioral characteristics that are often better predictors of success.



Hiring assessments are mostly digitized and conducted over computers, but they tend to be reserved for high-volume recruiting for roles that can be encoded in a few reusable assessments. Now artificial intelligence is making assessments feasible for specialized job openings, including executive positions.  



In this episode, we explore the role hiring assessments have traditionally played in recruiting, how AI makes assessments easier to develop and deploy, and why the soft science of industrial-organizational psychology (IO) provides a firmer foundation than resumes and interviews.



Featuring: Mike Hudy (linkedin.com/in/mikehudy/) , Chief Science Officer, Hirevue    



In today's episode, we'll also cover:




• How Hirevue's Assessment Builder software works.


• The steps taken to mitigate AI bias in the tool.


• Other ways digital technology is changing IO.




References: 




• What is Hirevue? (techtarget.com/searchhrsoftware/definition/HireVue)


• Learn about skills-based job descriptions, candidate testing (techtarget.com/searchhrsoftware/feature/Learn-about-skills-based-job-descriptions-candidate-testing)


• Hirevue Assessment Builder (hirevue.com/platform/assessment-builder)




To learn more about enterprise applications, check out Search ERP (techtarget.com/searcherp/) .
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Understanding the science behind AI-based hiring assessments

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