Decision Making with Algorithms

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Algorithms are increasingly influencing our day to day lives and societies as a whole. We might accept or even enjoy the music suggestions made by an algorithm on the one hand, but feel deeply uncomfortable about the use of algorithms for high stakes decisions on the other. Yet the understanding of the strengths, weaknesses, and very nature of algorithms is not widespread. Are all algorithms fundamentally the same? What about carefully developed human insight and expertise? Psychologist Nathan Kuncel addresses these and many other questions. He suggests algorithms and human expertise should not compete with each other, but should instead merge into a partnership. We should embrace algorithms, but make sure human oversight is used for making final decisions.

Nathan Kuncel is the Marvin D. Dunnette Distinguished Professor of Industrial-Organizational Psychology and a McKnight Presidential Fellow at the University of Minnesota. He received his PhD from the University of Minnesota and specialises in the structure and prediction of performance in academic and work settings, and the validity of individual differences for predicting different aspects of performance. He has written for The Wall Street Journal, Harvard Business Review, Science, and many other professional journals.

In collaboration with the Centre of Expertise for Talent Development, Faculty of Behavioural and Social Sciences, University of Groningen.