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Private traits and attributes are predictable from digital records of human behavior
webAuthors
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
| Page | Type | Quality |
|---|---|---|
| AI-Powered Investigation | Capability | 40.0 |
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Resource ID:
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