Advancing the frontiers of AI and recruitment technology.

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.

Job seekers are using sophisticated prompt injection techniques to manipulate AI screening systems by embedding hidden instructions in resumes. We developed advanced detection algorithms that identify and neutralize these attacks with 94.2% precision, ensuring fair and authentic candidate assessment.