AI in Hiring – Can a Machine Pick the Right Candidate?

What if an algorithm decided whether you got the job—even before a human saw your name?
This is no longer hypothetical. AI-driven hiring assessments are already influencing recruitment practices globally. But what do these systems actually assume about job seekers? And what might they overlook?

A recent interdisciplinary study, conducted by researchers from TU Delft, University of Twente, and TU Eindhoven, investigated these very questions. They found that such assessments often make implicit assumptions about job seekers’ skills, behavior, and communication styles—assumptions that may not align with individual realities.

Critically, the research highlighted how these systems can undermine a person’s ability to directly tell their story. When AI systems evaluate resumes, recorded video responses, or test results, they reduce a complex human narrative to a set of predefined data points. As a result, individuals lose autonomy over how they represent their identity, experience, and aspirations—a core component of human dignity.

At the New Media Centre, we were tasked with turning these findings into an accessible and thought-provoking video for a general audience. The aim: translate the research into a format that informs, engages, and sparks reflection.

The project took eight months and followed a structured process:

• Collaborative scripting with researchers
• Storyboarding key concepts
• Voice-over production
• A blend of custom and curated visual assets unified under one style
• Full animation design and editing