How does AI for recruiting actually work? How to combine AI and scientific rigor.
HiPeople
37:00
Workshop: How AI for Recruiting Actually Works. Combining AI with Scientific Rigor
AI is everywhere in recruiting — from resume screening to interview analysis. But behind the marketing claims, many teams still struggle to understand how these systems actually work and how to use them responsibly in hiring decisions.
In this workshop, we’ll break down how AI recruiting tools function under the hood and how they can be designed to meet scientific hiring standards, fairness principles, and regulatory expectations.
You’ll learn how modern AI systems analyze candidate information, how models are trained and evaluated, and why combining AI capabilities with industrial-organizational psychology and validated assessment methods is critical for reliable hiring outcomes.
Rather than replacing structured hiring practices, the most effective AI solutions amplify scientifically grounded selection methods, helping recruiters apply them faster and more consistently at scale.
In this workshop, we’ll cover:
• How AI recruiting tools analyze resumes, assessments, and candidate data
• The role of training data, models, and scoring systems in AI hiring tools
• Why validated assessment methods and structured evaluations remain essential
• How AI can support scientifically grounded hiring instead of replacing it
• The risks of “black box” AI and how transparent systems address them
• What recruiters and HR leaders should look for when evaluating AI vendors
Who should attend
• Talent Acquisition Leaders
• Recruiters and Recruiting Operations
• HR and People Analytics teams
• Anyone evaluating AI tools for hiring
Takeaway
You’ll gain a clear understanding of how AI recruiting technology actually works, and how to combine it with scientifically validated hiring practices to create hiring processes that are faster, fairer, and more defensible.
Speakers
Jannis Witte
AI Lead @ HiPeople
Jakob Gillmann
Co-founder HiPeople
How does AI for recruiting actually work? How to combine AI and scientific rigor.
37:00