Nigel Guenole

Papers

Total Citations

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About

Dr. Nigel Guenole is a leading researcher at the intersection of industrial-organizational psychology, artificial intelligence, and algorithmic fairness. His work critically examines how emerging technologies, particularly AI-driven recruitment tools, are reshaping personnel selection and assessment. Dr. Guenole’s most cited paper, "Robots are judging me: Perceived fairness of algorithmic recruitment tools" (2022, 19 citations), provides foundational insights into how job candidates perceive the fairness of automated hiring processes—a timely and urgent contribution as organizations increasingly adopt algorithmic screening, game-based assessments, and psychometric evaluations. His research bridges the gap between technological innovation and human experience, exploring how perceptions of justice, transparency, and trust influence candidate reactions to AI-driven decisions. Beyond this landmark study, Dr. Guenole has advanced understanding of psychometric methodology, assessment design, and the ethical implications of machine learning in human resources. His work is widely cited by scholars in organizational behavior, human-computer interaction, and AI ethics, and he is recognized for shaping evidence-based practices in modern talent management. For students and researchers, Dr. Guenole’s scholarship offers a critical lens on how to design fair, effective, and human-centered algorithmic systems in the future of work.