Psychology of Predictability: Using Danish Register Data to Understand Human Predictability by Algorithms
Research Project | 01.01.2024 - 01.01.2028
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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
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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).
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).