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Psychology of Predictability: Using Danish Register Data to Understand Human Predictability by Algorithms

Research Project
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01.01.2024
 - 01.01.2028

In an increasingly AI-driven society, it is crucial to better understand which people are more/less predictable by algorithms, and the potential consequences thereof. This project combines Danish register data with psychological data from a panel to investigate: Are the same people highly (un)predictable across different life domains? And what are the psychological characteristics of these people?


Ingo Zettler and Rosa Lavelle-Hill, University of Copenhagen and University of Basel


Funding

Psychology of Predictability: Using Danish Register Data to Understand Human Predictability by Algorithms

Carlsberg Foundation, 01.2024-12.2028 (60)
CI : Blakeman-Lavelle, Rosa.

Publications

Lavelle-Hill, R., Einsiedler, J., Appel, M., Harpviken, L. L., & Zettler, I. (2026) ‘Psychology of predictability: using machine learning and personality psychology to understand heterogeneity in algorithm prediction error’, in Personality and Individual Differences. In PERSONALITY AND INDIVIDUAL DIFFERENCES (Vol. 253). THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND: PERGAMON-ELSEVIER SCIENCE LTD.: Elsevier B.V. (Personality and Individual Differences).


Members (3)

FEMALE avatar

Rosa Blakeman-Lavelle

Owner/co-PI
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Johanna Einsiedler

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Ingo Zettler

PI