Research
Advancing the frontiers of AI and recruitment technology.
Discover our latest research findings, and solutions that are transforming how organizations identify, assess, and hire talent.
Latest Research
The Human Oversight Paradox: Why People Mirror AI Bias Instead of Correcting It
Human oversight has long been positioned as the critical safeguard against AI discrimination in hiring. New research from the University of Washington reveals a troubling reality: when humans collaborate with biased AI systems, they overwhelmingly adopt—rather than counteract—the machine's prejudices. We examine the implications for AI-assisted recruitment and what organizations must do differently.
Building Fair AI: How We Mitigate LLM Bias in Hiring
Large Language Models can replicate and amplify societal biases, particularly in high-stakes domains like hiring. We detail our comprehensive approach to detecting, preventing, and monitoring bias in recruitment AI—from pre-training data curation to continuous evaluation metrics—and introduce our specialized bias benchmark for hiring systems.