The explosion of AI-generated applications isn't just breaking traditional recruiting - it's creating an unprecedented opportunity by making sophisticated assessment tools accessible for early-stage screening. There is now the opportunity to filter thousands of applicants based on actual predictive data. However, the vendor landscape here can be confusing, and some offerings lack the transparency that employers need.



So how can organizations identify tools that leverage AI's efficiency while respecting established peer-reviewed assessment science?



My guest this week is Djurre Holtrop, Assistant Professor at Tilburg University. In our conversation, Jura reveals how AI could democratize evidence-based assessment for organizations of all sizes and offers advice on best practices and the future assessment landscape.



In the interview, we discuss:


The science-practice gap in assessment



The tension arising from the rapid development of AI and the need to evaluate work performance results over time.



AI isn't making the process worse because CVs and cover letters have no predictive validity.



How is AI improving the science?



Transforming recruiting with early-stage screening



How bias carries through the recruiting process



Resetting our mental models



What does the future look like?



Recruiting Future helps Talent Acquisition teams drive measurable impact by developing strategic capability in Foresight, Influence, Talent, and Technology.



If you're interested in finding out how your TA function measures up in these four critical areas, I've created the free FITT for the Future Assessment. It'll give you personalised insights to help you build strategic clarity and drive greater impact immediately.



Just head to mattalder.me/podcast to complete the assessment—it only takes a few minutes.



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