Understanding when laypeople adopt predictive algorithms

Berkeley J. Dietvorst ()
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Berkeley J. Dietvorst: The University of Chicago Booth School of Business

Nature Human Behaviour, 2025, vol. 9, issue 5, 851-853

Abstract: Understanding when and why laypeople adopt predictive algorithms is key to aligning technology with user needs. I propose that adoption is driven by performance expectations (as algorithms are tools designed to aid users) and outline when laypeople are likely to adopt algorithms, given their distinctive performance goals.

Date: 2025
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DOI: 10.1038/s41562-025-02135-3

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