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Private traits and attributes are predictable from digital records of human behavior

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Authors

Michal Kosinski·David Stillwell·Thore Graepel

Published in PNAS, this empirical study demonstrates that personal traits and sensitive attributes can be accurately predicted from digital behavioral records, raising important privacy and AI safety concerns regarding data exploitation and algorithmic discrimination.

Paper Details

Citations
2,600
137 influential
Year
2013
Methodology
peer-reviewed
Categories
Proceedings of the National Academy of Sciences

Metadata

journal articleprimary source

Cited by 1 page

PageTypeQuality
AI-Powered InvestigationCapability40.0

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